Dissecting the clonal nature of allelic expression in somatic cells by single-cell RNA-seq
Transcriptomics Dataset
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General Information
AccessionGSE75659
TitleDissecting the clonal nature of allelic expression in somatic cells by single-cell RNA-seq
DescriptionCellular heterogeneity can emerge from the expression of only one parental allele, however it has remained unknown to what degree patterns of random monoallelic expression of autosomal genes (aRME) are mitotically inherited (clonal) or stochastic (dynamic) in somatic cells. Here, we resolved this by applying allele-sensitive single-cell RNA-seq on primary mouse fibroblasts and in vivo human T-cells to simultaneously investigate clonal and dynamic aRME. Dynamic aRME affected a considerable portion of the transcriptome, with levels dependent on the cells transcriptional activity, but clonal aRME was surprisingly scarce (<1%% of genes) and affected mainly lowly expressed genes. Consequently, the overwhelming portion of aRME occurs transiently and is scattered throughout somatic populations rather than, as previously hypothesized, confined to spatially restricted patches of clonally related cells.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE75659
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 GSE75659
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
Interactive heatmap visualization of RNA-seq dataset GSE75659
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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