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Self-organizing map of gene regulatory networks for cell phenotypes during reprogramming.

Abstract：

:The induced pluripotent cells (iPSCs) are derived from somatic cells by reprogramming their genetic profiles. Such a process requires coordinated dynamic expression of hundreds of genes and proteins. As both deterministic and stochastic elements control the reprogramming process, it is not easy to have a way to reflect the status of gene regulatory network in those reprogramming cells. In this study, we applied self-organizing maps (SOMs) on those complex gene expression data from different pluripotent cells, including partially reprogrammed and fully reprogrammed induced pluripotent cells (iPSCs), embryonic stem cells (ESCs), and adult stem cells came from different tissues. We showed that our SOMs have good correlation with the previously reported PluriNet of stem cells and they are pictorial diagrams which can reflect the intrinsic status of cells.

journal_name

Comput Biol Chem

journal_title

Computational biology and chemistry

authors

Zhang L,Zheng Y,Li D,Zhong Y

doi

10.1016/j.compbiolchem.2011.05.002

subject

Has Abstract

pub_date

2011-08-10 00:00:00

pages

211-7

issue

4

eissn

1476-9271

issn

1476-928X

pii

S1476-9271(11)00052-1

journal_volume

35

pub_type

杂志文章

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