Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

A validated gene regulatory network and GWAS identifies early regulators of T-cell associated diseases (Th1 Th2)

ABSTRACT: 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. NaÃ¯ve CD4+ T cells were isolated from buffy coat of four healthy donors using a naÃ¯ve CD4+ T cell isolation kit (Miltenyi, Bergisch-Gladbach, Germany). NaÃ¯ve 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 Âµg/mL) for Th1, IL-4 (10 ng/mL), IL-2 (10 ng/mL) and anti-IL-12 (5 Âµg/mL) and antiâ??IFN-g (5 Âµg/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 ÂµM Î²â??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).

ORGANISM(S): Homo sapiens

SUBMITTER: Danuta Gawel

PROVIDER: E-GEOD-60678 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Gene expression profiling of repeatedly activated compared to recently activated Th1 cells to identify genes that play a role in chronic inflammatory disorders and may qualify as diagnostic or therapeutic targets; ; Upon activation under appropriate costimulatory conditions, naive T helper (Th) cells differentiate into Th2 or Th17 cells, each characterized by the expression of specific effector cytokines. In response to a repeated stimulation with antigen, Th cells develop a stable memory for the expression of those cytokines as well as for other secreted or membrane-associated factors. The stable memory for the expression of proinflammatory effector functions may explain the resistance of Th effector cells to conventional immunosuppressive therapy, and the inability of immunosuppression to cure chronic inflammation. The imprinting of the functional memory is based on epigenetic modifications and expression of distinct transcription factors. In this project, we compare the transcriptomes of once and repeatedly activated murine Th1 cells, to identify genes that induce and maintain the functional memory and control the persistence of pathogenic memory Th1 cells. This in turn might help to discriminate pathogenic versus protective cells in immunopathology and present novel targets for the diagnosis and therapy of chronic inflammatory disease. Experiment Overall Design: Genes differentially expressed in once versus four times stimulated Th1 cells. In vitro polarization of murine naÃ¯ve DO11.10 T cells towards Th1 direction (5 ng/ml recombinant murine IL-12, 5 Î¼g/ml anti-IL-4 antibody) with antigenic stimulation (ova323-339 and irradiated splenic APCs). The transcriptional profiles of resting one week old Th1 (Th1 1w) cells and resting 4 week old Th1 (Th1 4w) cells were compared using Affymetrix Murine Genome (MG) U74V2A GeneChip arrays. Experiment Overall Design: 10 Âµg of total RNA from each cell sample was reverse transcribed using T7-(d)T24 primer and SuperScript II reverse transcriptase Experiment Overall Design: cDNA extraction with a PhaseLock gel (Eppendorf), and precipitation with ethanol and ammonium acetate Experiment Overall Design: Biotinylated cRNA was transcribed with the MEGAscript high yield transcription kit (Ambion), fragmented, and the hybridization cocktail was prepared (15 Âµg fragmented biotin-labeled cRNA spiked with Eukaryotic Hybridization control) Experiment Overall Design: probes were subsequently hybridised with the GeneChip U74Av2 for 16 hrs at 45 oC Experiment Overall Design: after washing the hybridisation signals were visualised by staining with streptavidin-phycoerythrin and amplification with an anti-streptavidin antibody Experiment Overall Design: TH1_1w_C1; TH1_1w_C2; TH1_1w_C3TH1_4w_C1; TH1_4w_C2; TH1_4w_C3 Experiment Overall Design: 1w: 1 week in culture; 4w: 4 weeks in culture; C1-3: Culture or Experiment No.

Dataset Information

A validated gene regulatory network and GWAS identifies early regulators of T-cell associated diseases (Th1 Th2)

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure