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

被引:6
作者
Zhang, Leping [1 ,2 ]
Zheng, Yufang [2 ]
Li, Dongfang [1 ]
Zhong, Yang [2 ,3 ]
机构
[1] Second Mil Med Univ, Coll Basic Med Sci, Shanghai 200433, Peoples R China
[2] Fudan Univ, Sch Life Sci, Shanghai 200433, Peoples R China
[3] Tibet Univ, Inst Biodivers Sci & Geobiol, Lhasa 850000, Peoples R China
关键词
Self-organizing map; Gene regulatory network; Cell phenotype; Reprogramming; PLURIPOTENT STEM-CELLS; SYSTEMS BIOLOGY; EXPRESSION; FIBROBLASTS;
D O I
10.1016/j.compbiolchem.2011.05.002
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:211 / 217
页数:7
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