Epigenomic comparison of distinct pluripotent stem cell states reveals a new class of enhancers with roles throughout mammalian development (RNA-seq)
Transcriptomics Dataset
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General Information
AccessionGSE57403
TitleEpigenomic comparison of distinct pluripotent stem cell states reveals a new class of enhancers with roles throughout mammalian development (RNA-seq)
DescriptionNave mouse embryonic stem cells (mESCs) and primed epiblast stem cells (mEpiSCs) represent successive snapshots of pluripotency during embryogenesis. Using transcriptomic and epigenomic mapping, we show that a small fraction of transcripts are differentially expressed between mESCs and mEpiSCs and these genes show expected changes in chromatin at their promoters and enhancers. Unexpectedly, the cis-regulatory circuitry of genes that are expressed at identical levels between these cell states also differs dramatically. In mESCs, these genes are associated with dominant proximal enhancers and dormant distal enhancers, which we term seed enhancers. In mEpiSCs, the nave-dominant enhancers are lost, and the seed enhancers take up primary transcriptional control. Seed enhancers have increased sequence conservation and show preferential usage in downstream somatic tissues, often expanding into super enhancers. We propose that seed enhancers ensure proper enhancer utilization and transcriptional fidelity as mammalian cells transition from nave pluripotency to a somatic regulatory program.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57403
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 GSE57403
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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