Quantitative polyadenylation map of mouse embryonic epidermal lineages
Transcriptomics Dataset
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General Information
AccessionGSE37641
TitleQuantitative polyadenylation map of mouse embryonic epidermal lineages
DescriptionWe establish an experimental and bioinformatic pipeline using 3SEQ to quantitatively measure mRNA expression and reliably determine 3' end formation by sequencing polyadenylated transcripts. When applied to purified mouse embryonic skin stem cells direct differentiation lineages, we identify 15,651 UTRs representing 10,442 distinct mRNAs that are abundantly expressed in the skin. We determine that ~80%% of UTRs are formed by using canonical A[A/U]UAAA polyadenylation signals, whereas ~20%% of UTRs utilize alternative signals. We demonstrate that comparing with qPCR, our RNA-Seq approach can precisely measure mRNA fold-change and accurately determine the expression of mRNAs over four orders of magnitude. We also reported 453 out of 10,442 genes (4.3%%) show differential 3' end usage between skin stem cells and their direct differentiation lineages. Among them, core components of the miRNA pathway, including Dicer, Dgcr8, Xpo5 and Ago2, show dynamic 3' UTR formation patterns, indicating a self-regulatory mechanism. Together, our quantitative analysis reveals a dynamic picture of mRNA 3' end formation in closely related somatic stem cell lineages.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37641
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 GSE37641
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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