NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE40623 Query DataSets for GSE40623
Status Public on Dec 03, 2013
Title Genome-wide regulatory analysis reveals T-bet controls Th17 lineage differentiation through direct suppression of IRF4
Organism Mus musculus
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary The complex relationship between Th1 and Th17 cells is incompletely understood. The transcription factor T-bet is best known as the master regulator of Th1 lineage commitment. However, attention is now focused on the repression of alternate T cell subsets mediated by T-bet, particularly the Th17 lineage. Specifically it has recently been suggested that pathogenic Th17 cells express T-bet and are dependent on IL-23. However, T-bet has previously been shown to be a negative regulator of Th17 cells. We have taken an unbiased approach to determine the functional impact of T-bet on Th17 lineage commitment. Genome-wide analysis of functional T-bet binding sites provides an improved understanding of the transcriptional regulation mediated by T-bet, and suggests novel mechanisms by which T-bet regulates T helper cell differentiation. Specifically, we show that T-bet negatively regulates Th17 lineage commitment via direct repression of the transcription factor interferon regulatory factor-4 (IRF4). An in vivo analysis of the pathogenicity of T-bet deficient T cells demonstrated that Th17 responses were augmented in the absence of T-bet, and we have defined a critical temporal window for T-bet function. The interaction of the two key transcription factors T-bet and IRF4 during the determination of T cell fate choice significantly advances our understanding of the mechanisms underlying the development of pathogenic T cells.
 
Overall design ChIP-seq analysis of T-bet in WT and Tbet -/- mice.
 
Contributor(s) Gökmen MR, Kanhere A, Jenner R, Lord G
Citation(s) 24249732
Submission date Sep 05, 2012
Last update date May 15, 2019
Contact name Aditi Kanhere
E-mail(s) a.kanhere@liverpool.ac.uk
Organization name University of Liverpool
Lab Kanhere Lab
Street address Institute of Systems, Molecular and Integrative Biology
City Liverpool
ZIP/Postal code L69 3GE
Country United Kingdom
 
Platforms (1)
GPL11002 Illumina Genome Analyzer IIx (Mus musculus)
Samples (3)
GSM998271 Th1_WCE
GSM998272 Th1_Tbet
GSM998273 Th1_Tbet -/-
Relations
BioProject PRJNA174603
SRA SRP015481

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE40623_RAW.tar 1.2 Gb (http)(custom) TAR (of BED, BW, TXT)
SRA Run SelectorHelp
Processed data provided as supplementary file
Raw data are available in SRA

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap