Chemical Mapping Reveals Novel Features of The Nucleosome Landscape in Mouse Embryonic Stem Cells
Transcriptomics Dataset
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General Information
AccessionGSE82127
TitleChemical Mapping Reveals Novel Features of The Nucleosome Landscape in Mouse Embryonic Stem Cells
DescriptionNucleosome organization influences gene activity by controlling DNA accessibility to transcription machinery. Here, we develop a chemical biology approach to determine mammalian nucleosome positions genome-wide. Using this strategy, we uncover surprising new features of nucleosome organization in mouse embryonic stem cells. In contrast to the prevailing model, we observe that for nearly all mouse genes a class of fragile nucleosomes occupies previously designated nucleosome-depleted regions around transcription start sites and transcription termination sites. We show that a subset of DNA-binding proteins including insulator CTCF and pluripotency factors co-occupy DNA targets with nucleosomes. Furthermore, we provide in vivo evidence that promoter-proximal nucleosomes, with the +1 nucleosome in particular, contribute to the pausing of RNA Polymerase II. Lastly, we find a characteristic preference for nucleosomes at exon-intron junctions. Altogether, we establish an accurate method for defining the nucleosome landscape, and provide a valuable resource for studying nucleosome-mediated gene regulation in mammalian cells.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE82127
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
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
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE82127
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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