Transcript abundance in A-T-derived iPSC: Comparing isogenic cells to unrelated individual
Transcriptomics Dataset
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General Information
AccessionGSE71878
TitleTranscript abundance in A-T-derived iPSC: Comparing isogenic cells to unrelated individual
DescriptionInduced pluripotent stem cells (iPSC) were prepared from multiple subjects with Ataxia-telangiectasia (A-T). iPSC were prepared from activated T-cells using commercial Sendai virus to deliver reprogramming factors. ATM protein-expressing and non-expressing cultures would found in multiple sub-lines (sub-lines are generated from distinct founder colonies of cells) from a single subject (Q3). Genetic analysis determined that all sub-lines originated from the same subject and were likely the product of spontaneous reversion by gene correction. To compare gene expression profiles, three iPSC samples were assayed: (1) A reverted ATM+/- subline from subject Q3, (2) An ATM-/- subline from subject Q3, and (3) An iPSC line from an unrelated ATM-/- subject, Q1. Analysis reveals that the majority of significantly-different genes between the unrelated ATM-/- line (Q1SA) and the reverted ATM+/- line (Q3SC) was due to genetic variation between individuals. A more focused set of contrasting genes could be identified between the isogenic Q3-derived lines (Q3SA, ATM-/-, vs. Q3SC, ATM+/-). The 206 transcripts that are significantly different point to a differential regulation of p53-associated pathways.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE71878
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 GSE71878
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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