Epigenetic and transcriptional aberrations in human pluripotent stem cells reflect differences in reprogramming mechanisms [RNA-Seq]
Transcriptomics Dataset
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General Information
AccessionGSE53094
TitleEpigenetic and transcriptional aberrations in human pluripotent stem cells reflect differences in reprogramming mechanisms [RNA-Seq]
DescriptionHuman pluripotent stem cells hold great potential for regenerative medicine, but available cell types have important limitations. While embryonic stem cells derived from fertilized embryos (IVF-ESCs) are considered the 'gold standard' of pluripotency, they are allogeneic to potential recipients. Autologous induced pluripotent stem cells (iPSCs) are prone to epigenetic and transcriptional aberrations. To determine whether accumulation of such aberrations is intrinsic to somatic cell reprogramming or secondary to the reprogramming method, we generated a genetically matched collection of human IVF-ESCs, iPSCs, and ESCs derived by somatic cell nuclear transfer (SCNT; NT-ESCs), and subjected them to genome-wide genetic, epigenetic and transcriptional analyses. SCNT-based reprogramming is mediated by the full complement of oocyte cytoplasmic factors, thus closely recapitulating early embryogenesis. NT-ESCs and iPSCs derived from the same somatic donor cells contained comparable numbers of de novo copy number variations (CNVs), suggesting that the two reprogramming methods may not differ significantly in mutagenic or selective pressure. On the other hand, the DNA methylation and transcriptome profiles of NT-ESCs corresponded very closely to those of IVF-ESCs, while iPSCs differed markedly from IVF-ESCs and harbored residual DNA methylation patterns typical of parental fibroblasts, suggesting incomplete reprogramming. We conclude that human somatic cells can be faithfully reprogrammed to pluripotency by SCNT and are therefore ideal candidates for cell replacement therapies.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53094
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 GSE53094
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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