MEF2D drives photoreceptor development through a genome-wide competition for tissue-specific enhancers (RNA-Seq)
Transcriptomics Dataset
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General Information
AccessionGSE61389
TitleMEF2D drives photoreceptor development through a genome-wide competition for tissue-specific enhancers (RNA-Seq)
DescriptionOrganismal development requires the precise coordination of genetic programs to regulate cell fate and function. MEF2 transcription factors play essential roles in this process but how these broadly expressed factors contribute to the generation of specific cell types during development is poorly understood. Here we show that despite being expressed in virtually all mammalian tissues, in the retina MEF2D binds to retina-specific enhancers and controls photoreceptor cell development. MEF2D achieves specificity by cooperating with a retina-specific factor CRX, which recruits MEF2D away from canonical MEF2 binding sites, and redirects it to retina-specific enhancers that lack the consensus MEF2 sequence. Once bound to retina-specific enhancers, MEF2D and CRX co-activate the expression of photoreceptor-specific genes that are critical for retinal function. These findings demonstrate that broadly expressed TFs acquire specific functions through competitive recruitment to enhancers by tissue-specific TFs, and through cooperative activation of these enhancers to regulate tissue-specific genes.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE61389
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 GSE61389
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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