A Werner syndrome stem cell model unveils heterochromatin alterations as a driver of human aging
Transcriptomics Dataset
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General Information
AccessionGSE52285
TitleA Werner syndrome stem cell model unveils heterochromatin alterations as a driver of human aging
DescriptionOur data throw light upon the effect of WRN deficiency on gene expression and epigenomic modification, which indicates aging-associated changes from both genomic and epigenomic level.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE52285
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
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Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE52285
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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