Abstract
The induced pluripotent stem cells (iPSCs), generated from transcription factor-induced reprogramming, hold the great promise as the next generation materials for regenerative medicine. Intensive follow-up studies have accumulated a large amount of high-throughput data in transcription, proteomics, methylation, and other levels, which makes the computational studies feasible. Here we briefly review the recent bioinformatics efforts to study iPSCs. Specifically, we will summarize several comparison studies to determine how closely human iPSCs resemble human embryonic stem cells (ESCs) from sequence, gene expression profile, chromatin structure, DNA methylation, proteomics, and function aspects. Then computational methods to assess iPSC’s pluripotency in a cost-effective yet accurate way are introduced. Finally, we will indicate the further biomolecular network studies to understand the underlying mechanism for cell reprogramming and the dynamics within this biological process.
Keywords: Cell reprogramming, gene regulatory network, induced pluripotent stem cells, transcriptional similarity, dynamics, DNA methylation, proteomics, chromatin structure, gene expression profile, sequence, Forward Engineering Strategy
Current Bioinformatics
Title:Bioinformatics Studies on Induced Pluripotent Stem Cell
Volume: 8 Issue: 1
Author(s): Yong Wang
Affiliation:
Keywords: Cell reprogramming, gene regulatory network, induced pluripotent stem cells, transcriptional similarity, dynamics, DNA methylation, proteomics, chromatin structure, gene expression profile, sequence, Forward Engineering Strategy
Abstract: The induced pluripotent stem cells (iPSCs), generated from transcription factor-induced reprogramming, hold the great promise as the next generation materials for regenerative medicine. Intensive follow-up studies have accumulated a large amount of high-throughput data in transcription, proteomics, methylation, and other levels, which makes the computational studies feasible. Here we briefly review the recent bioinformatics efforts to study iPSCs. Specifically, we will summarize several comparison studies to determine how closely human iPSCs resemble human embryonic stem cells (ESCs) from sequence, gene expression profile, chromatin structure, DNA methylation, proteomics, and function aspects. Then computational methods to assess iPSC’s pluripotency in a cost-effective yet accurate way are introduced. Finally, we will indicate the further biomolecular network studies to understand the underlying mechanism for cell reprogramming and the dynamics within this biological process.
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Cite this article as:
Wang Yong, Bioinformatics Studies on Induced Pluripotent Stem Cell, Current Bioinformatics 2013; 8 (1) . https://dx.doi.org/10.2174/1574893611308010013
DOI https://dx.doi.org/10.2174/1574893611308010013 |
Print ISSN 1574-8936 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-392X |
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