Epigenetic and genetic changes during mouse hematopoietic stem cell aging [RNA-Seq]
Transcriptomics Dataset
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General Information
AccessionGSE47817
TitleEpigenetic and genetic changes during mouse hematopoietic stem cell aging [RNA-Seq]
DescriptionTo investigate the global transcriptome changes in mouse hematopoietic stem cell aging, we performed high-throughput sequencing of Poly A+ RNA (RNA-Seq) from purified 4 month, and 24 month-old HSCs (SP-KSL-CD150+). With biological duplicates, more than 200 million reads in total for each age of HSC were obtained. Comparison of the young and old HSC transcriptomes revealed that 1,337 genes that were up-regulated, and 1,297 genes were down-regulated with HSC aging. The most highly represented upstream regulator was growth factor TGFB1, accounting for ~ 19%% of differential gene expression in young versus old HSC (p-value = 1.96E-33). Gene ontology (GO) analyses indicated that up-regulated genes in 24mo HSCs are highly enriched in Regulation of Cell Adhesion, Regulation of Cell Proliferation and Ribosome, while down-regulated genes are enriched in DNA Base Excision Repair, DNA replication and Cell Cycle. RNA-seq also allowed us to examine alternative isoforms with aging including alternative splicing, promoter usage and pre-mRNA abundance.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE47817
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 GSE47817
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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