Lineage-specific and non-specific cytokine-sensing genes respond differentially to the master regulator STAT5
Transcriptomics Dataset
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General Information
AccessionGSE82275
TitleLineage-specific and non-specific cytokine-sensing genes respond differentially to the master regulator STAT5
DescriptionSTAT5, a member of the family of Signal Transducers and Activators of Transcription senses cytokines and controls the biology of cell lineages, including mammary, liver and T cells. Here we show that STAT5 activates lineage-specific and widely expressed genes through different mechanisms. STAT5 preferentially binds to promoter sequences of cytokine-responsive genes expressed across cell types and to putative enhancers of lineage-specific genes. While chromatin accessibility of STAT5-based enhancers was dependent on cytokine exposure, STAT5-responsive promoters of widely expressed target genes were generally constitutively accessible. While the contribution of STAT5 to enhancers is well established, its role on promoters is poorly understood. To address this we focused on Socs2, a widely expressed cytokine-sensing gene. Upon deletion of the STAT5 response elements from the Socs2 promoter, cytokine induction was abrogated, while basal activity remained intact. Our data suggest that promoter-bound STAT5 modulates cytokine responses and enhancer-bound STAT5 is mandatory for gene activation.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE82275
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE82275
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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