The DNA methylome of Epiblast Stem Cells and Embryonic Stem Cells is distinct and not fully reversible
Transcriptomics Dataset
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General Information
AccessionGSE47793
TitleThe DNA methylome of Epiblast Stem Cells and Embryonic Stem Cells is distinct and not fully reversible
DescriptionEmbryonic Stem Cells (ESCs) and Epiblast Stem Cells (EpiSCs) are the in vitro representants of nave and primed pluripotency, respectively. It is currently unclear how their epigenome underpin the phenotypic and molecular characteristics of these states of pluripotency. Here, we performed the first qualitative and quantitative comparison of DNA methylation between ESCs and EpiSCs. The global level and genomic distribution of DNA methylation were very similar between the two cell types. However, the analysis of promoter methylation patterns in EpiSCs revealed several distinct features: (i) the repression of germline-related genes by DNA methylation, a process already ongoing in ESCs but far more pronounced in EpiSCs; (ii) the hypermethylation of promoters (especially CpG rich) in EpiSC compared to both ESCs and dissected epiblasts from E6.5 and E7.5 embryos; (iii) the inability of hypomethylated (Dnmt-deficient) ESCs to be converted into EpiSCs despite their ability to self-renew. Altogether, our data show that DNA methylation is an important epigenetic regulator of gene expression in EpiSCs and suggest that it is essential for the obtention of EpiSCs.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE47793
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 GSE47793
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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