Maintenance of DNA methylation in embryonic stem cells depends on the histone H3K9 methyltransferases (Dnmt3ab KO RNA-Seq)
Transcriptomics Dataset
FAIR Metrics
0 evaluations
General Information
AccessionGSE47883
TitleMaintenance of DNA methylation in embryonic stem cells depends on the histone H3K9 methyltransferases (Dnmt3ab KO RNA-Seq)
DescriptionDuring mammalian development DNA methylation patterns need to be reset in primordial germ cells (PGC) and preimplantation embryos. However, many retro-transposons and imprinted genes are resistant to such global epigenetic reprogramming via hitherto undefined mechanisms. Here, we report that some of these sequences are immune to widespread erasure of DNA methylation in the mouse embryonic stem cells (mESCs) lacking de novo DNA methyltransferases. Persistence of DNA methylation at these loci in mESCs depends on the histone H3K9 methyltransferase Setdb1, as deletion of Setdb1 results in reduction of H3K9me3 and DNA methylation levels concomitant with an increase in 5-hydroxymethylation (5hmC). In addition, depletion of H3K9 methyltransferase G9a leads to genome-wide reduction of DNA methylation but to a lesser extent at the above sequences. Taken together, these data reveal that Setdb1 ensures the fidelity of DNA methylation at specific loci in mESCs, which may reflect mechanisms functioning in vivo during key developmental stages.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE47883
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 GSE47883
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.