A validated gene regulatory network and GWAS identifies early regulators of T-cell associated diseases [MAF siRNA]
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE61964 | GEO | 2015/11/12
SECONDARY ACCESSION(S): PRJNA262822
REPOSITORIES: GEO
Similar Datasets
Project description:In this work we present an analytical strategy to systematically identify early regulators by combining gene regulatory networks (GRN) with GWAS. We hypothesized that early regulators in T-cell associated diseases could be found by defining upstream transcription factors (TFs) in T-cell differentiation. Time series expression and DNA methylation profiling of T-cell differentiation identified several upstream TFs, of which TFs involved in Th1/2 differentiation were most enriched for disease associated SNPs identified by GWAS.
2015-11-12 | GSE60679 | GEO
Project description:In this work we present an analytical strategy to systematically identify early regulators by combining gene regulatory networks (GRN) with GWAS. We hypothesized that early regulators in T-cell associated diseases could be found by defining upstream transcription factors (TFs) in T-cell differentiation. Time series expression and DNA methylation profiling of T-cell differentiation identified several upstream TFs, of which TFs involved in Th1/2 differentiation were most enriched for disease associated SNPs identified by GWAS.
2015-11-12 | GSE60678 | GEO
Project description:In this work we present an analytical strategy to systematically identify early regulators by combining gene regulatory networks (GRN) with GWAS. We hypothesized that early regulators in T-cell associated diseases could be found by defining upstream transcription factors (TFs) in T-cell differentiation. Time series expression and DNA methylation profiling of T-cell differentiation identified several upstream TFs, of which TFs involved in Th1/2 differentiation were most enriched for disease associated SNPs identified by GWAS.
2015-11-12 | GSE60677 | GEO
Project description:In this work we present an analytical strategy to systematically identify early regulators by combining gene regulatory networks (GRN) with GWAS. We hypothesized that early regulators in T-cell associated diseases could be found by defining upstream transcription factors (TFs) in T-cell differentiation. Time series expression and DNA methylation profiling of T-cell differentiation identified several upstream TFs, of which TFs involved in Th1/2 differentiation were most enriched for disease associated SNPs identified by GWAS. Naïve CD4+ T cells were isolated from buffy coat of four healthy donors using a naïve CD4+ T cell isolation kit (Miltenyi, Bergisch-Gladbach, Germany). Naïve CD4+ T cells were stimulated with TGF-β (1 ng/mL), IL-1β (10 ng/mL), IL-6 (25 ng/mL), IL-21 (25 ng/mL) and IL-23 (25 ng/mL) for Th17, and TGF-β (10 ng/mL) and IL-2 (10 ng/mL) for Treg. Cells were cultured for six days in Iscoveâs modified Dulbecco medium (IMDM) supplemented with 2 mM L-glutamine (PAA Laboratories, Linz, Austria), 10% heat-inactivated FCS (PAA Laboratories, Linz, Austria), 5 µM βâmercaptoethanol (Sigma-Aldrich, St. Louis, Missouri, USA) and 50 ug/mL gentamicin (Sigma-Aldrich, St. Louis, Missouri, USA). Cells were cultured for 6 days and then re-stimulated with plate-bound anti-CD3 and soluble anti-CD28 in the presence of corresponding polarizing cytokines and antibodies for another 2 days (Zhang et al. 2013). RNA was extracted using a miRneasy Mini Kit (Qiagen). The RNA concentrations were analysed with NanoDrop ND-1000 Spectrophotometer (NanoDrop Technologies). For the gene expression microarray analysis, The cRNA was prepared using a Low Input QuickAmp Labeling Kit. For Th17 and Treg cells the gene expression microarray analysis was performed using SurePrint G3 Human Gene Expression 8x60K v2 microarray kit, according to the manufactureâs instruction (Agilent Technologies).
2015-11-12 | E-GEOD-61964 | biostudies-arrayexpress
Project description:In this work we present an analytical strategy to systematically identify early regulators by combining gene regulatory networks (GRN) with GWAS. We hypothesized that early regulators in T-cell associated diseases could be found by defining upstream transcription factors (TFs) in T-cell differentiation. Time series expression and DNA methylation profiling of T-cell differentiation identified several upstream TFs, of which TFs involved in Th1/2 differentiation were most enriched for disease associated SNPs identified by GWAS. Peripheral blood mononuclear cells (PBMCs) were prepared from fresh blood from 10 patients with seasonal allergic rhinitis and 10 healthy controls using Lymphoprep (Axis-Shield PoC, Oslo, Norway) according to the manufacturerâs protocol. PBMCs were stimulated with allergen extract (ALK-Abelló A/S; 100 μg/ml) or diluent (PBS) in RPMI 1640 supplemented with 2 mM L-glutamine (PAA Laboratories, Linz, Austria), 5% human AB serum (Lonza, Switzerland), 5 µM beta-mercaptoethanol (Sigma-Aldrich, St. Louis, Missouri, USA) and 50 µg/mL gentamicin (Sigma-Aldrich, St. Louis, Missouri, USA). After 17 hours of incubation, total CD4+ T cells were enriched from PBMCs by MACS negative sorting. Total RNA was extracted using a miRneasy Mini Kit (Qiagen, Valencia, CA, USA). The cRNA was prepared using a Low Input QuickAmp Labeling Kit. The expression microarray analyses were performed using Agilent SurePrint G3 Human Exon 4x180K Microarrays according to the manufacturer's instructions. Complementary microRNA data have been deposited in ArrayExpress under accession number E-MTAB-4900 ( http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-4900/ ).
2015-11-12 | E-GEOD-60677 | biostudies-arrayexpress
Project description:In this work we present an analytical strategy to systematically identify early regulators by combining gene regulatory networks (GRN) with GWAS. We hypothesized that early regulators in T-cell associated diseases could be found by defining upstream transcription factors (TFs) in T-cell differentiation. Time series expression and DNA methylation profiling of T-cell differentiation identified several upstream TFs, of which TFs involved in Th1/2 differentiation were most enriched for disease associated SNPs identified by GWAS. Naïve CD4+ T cells were isolated from buffy coat of four healthy donors using a naïve CD4+ T cell isolation kit (Miltenyi, Bergisch-Gladbach, Germany). Naïve CD4+ T cells were stimulated with TGF-β (1 ng/mL), IL-1β (10 ng/mL), IL-6 (25 ng/mL), IL-21 (25 ng/mL) and IL-23 (25 ng/mL) for Th17, and TGF-β (10 ng/mL) and IL-2 (10 ng/mL) for Treg. Cells were cultured for six days in Iscoveâs modified Dulbecco medium (IMDM) supplemented with 2 mM L-glutamine (PAA Laboratories, Linz, Austria), 10% heat-inactivated FCS (PAA Laboratories, Linz, Austria), 5 µM βâmercaptoethanol (Sigma-Aldrich, St. Louis, Missouri, USA) and 50 ug/mL gentamicin (Sigma-Aldrich, St. Louis, Missouri, USA). Cells were cultured for 6 days and then re-stimulated with plate-bound anti-CD3 and soluble anti-CD28 in the presence of corresponding polarizing cytokines and antibodies for another 2 days (Zhang et al. 2013). RNA was extracted using a miRneasy Mini Kit (Qiagen). The RNA concentrations were analysed with NanoDrop ND-1000 Spectrophotometer (NanoDrop Technologies). For the gene expression microarray analysis, The cRNA was prepared using a Low Input QuickAmp Labeling Kit. For Th17 and Treg cells the gene expression microarray analysis was performed using SurePrint G3 Human Gene Expression 8x60K v2 microarray kit, according to the manufactureâs instruction (Agilent Technologies).
2015-11-12 | E-GEOD-60679 | biostudies-arrayexpress
Project description:In this work we present an analytical strategy to systematically identify early regulators by combining gene regulatory networks (GRN) with GWAS. We hypothesized that early regulators in T-cell associated diseases could be found by defining upstream transcription factors (TFs) in T-cell differentiation. Time series expression and DNA methylation profiling of T-cell differentiation identified several upstream TFs, of which TFs involved in Th1/2 differentiation were most enriched for disease associated SNPs identified by GWAS. Naïve CD4+ T cells were isolated from buffy coat of four healthy donors using a naïve CD4+ T cell isolation kit (Miltenyi, Bergisch-Gladbach, Germany). Naïve CD4+ T cells were stimulated with plate-bound anti-CD3 (500 ng/mL), soluble anti-CD28 (500 ng/mL), in the presence of IL-12 (5 ng/mL), IL-2 (10 ng/mL) and antiâ??IL-4 (5 µg/mL) for Th1, IL-4 (10 ng/mL), IL-2 (10 ng/mL) and anti-IL-12 (5 µg/mL) and antiâ??IFN-g (5 µg/mL) for Th2. Cells were cultured for six days in Iscoveâ??s modified Dulbecco medium (IMDM) supplemented with 2 mM L-glutamine (PAA Laboratories, Linz, Austria), 10% heat-inactivated FCS (PAA Laboratories, Linz, Austria), 5 µM βâ??mercaptoethanol (Sigma-Aldrich, St. Louis, Missouri, USA) and 50 ug/mL gentamicin (Sigma-Aldrich, St. Louis, Missouri, USA). Cells were cultured for 6 days and then re-stimulated with plate-bound anti-CD3 and soluble anti-CD28 in the presence of corresponding polarizing cytokines and antibodies for another 2 days (Zhang et al. 2013). RNA was extracted using a miRneasy Mini Kit (Qiagen). The RNA concentrations were analysed with NanoDrop ND-1000 Spectrophotometer (NanoDrop Technologies). For the gene expression microarray analysis, The cRNA was prepared using a Low Input QuickAmp Labeling Kit. For Th1 and Th2 cells the gene expression microarray analysis was performed using SurePrint G3 Human Gene Expression 8x60K microarray kit, according to the manufactureâ??s instruction (Agilent Technologies).
2015-11-12 | E-GEOD-60678 | biostudies-arrayexpress
Project description:A validated gene regulatory network and GWAS identifies early regulators of T-cell associated diseases
| PRJNA259236 | ENA
Project description:Medical research focuses on disease-specific genes. By contrast, here we systematically examined the roles of shared genes for disease susceptibility and as therapeutic and diagnostic targets. Meta-analysis of all published disease-related genome-wide association studies (GWAS) showed that T helper (Th) cell differentiation was the most shared pathway. Expression profiling data from highly diverse CD4+ T cell-associated diseases revealed shared disease-associated genes, which were enriched for Th cell differentiation, but also metabolic and proliferative pathways. This pleiotropy suggested that altered functions of shared genes could generally increase disease susceptibility. Indeed, compared to specific genes, the shared genes were enriched for disease-associated SNPs identified by all published disease-related GWAS. To examine if the shared genes induced disease-relevant pathways, we focused on transcription factors (TFs) that induced Th differentiation. Those TFs were enriched among the shared genes, as well as for disease-associated SNPs identified by GWAS, and disease-phenotypes in mice knock-out studies. Original GWAS and profiling data from patients with multiple sclerosis and allergy confirmed enrichment of disease-associated SNPs in the TFs, and that the TFs were differentially expressed at early disease stages, and their targets increased in parallel with disease development. From a clinical perspective, the shared genes were significantly enriched for known diagnostic and therapeutic targets. Prospective clinical studies of multiple sclerosis and allergy showed that shared or specific genes could be used to stratify patients for individualized medicine. Our findings show that shared disease genes generally increase disease susceptibility and are important therapeutic and diagnostic targets.
2015-12-12 | GSE44952 | GEO
Project description:Medical research focuses on disease-specific genes. By contrast, here we systematically examined the roles of shared genes for disease susceptibility and as therapeutic and diagnostic targets. Meta-analysis of all published disease-related genome-wide association studies (GWAS) showed that T helper (Th) cell differentiation was the most shared pathway. Expression profiling data from highly diverse CD4+ T cell-associated diseases revealed shared disease-associated genes, which were enriched for Th cell differentiation, but also metabolic and proliferative pathways. This pleiotropy suggested that altered functions of shared genes could generally increase disease susceptibility. Indeed, compared to specific genes, the shared genes were enriched for disease-associated SNPs identified by all published disease-related GWAS. To examine if the shared genes induced disease-relevant pathways, we focused on transcription factors (TFs) that induced Th differentiation. Those TFs were enriched among the shared genes, as well as for disease-associated SNPs identified by GWAS, and disease-phenotypes in mice knock-out studies. Original GWAS and profiling data from patients with multiple sclerosis and allergy confirmed enrichment of disease-associated SNPs in the TFs, and that the TFs were differentially expressed at early disease stages, and their targets increased in parallel with disease development. From a clinical perspective, the shared genes were significantly enriched for known diagnostic and therapeutic targets. Prospective clinical studies of multiple sclerosis and allergy showed that shared or specific genes could be used to stratify patients for individualized medicine. Our findings show that shared disease genes generally increase disease susceptibility and are important therapeutic and diagnostic targets.
2015-12-12 | GSE44960 | GEO