title: 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.
authors.affiliation: School of Life Sciences, Fudan University, Shanghai, People's Republic of China. leping_zhang@hotmail.com
authors.forename: Leping
authors.initials: L
authors.lastname: Zhang
authors.forename: Yufang
authors.initials: Y
authors.lastname: Zheng
authors.forename: Dongfang
authors.initials: D
authors.lastname: Li
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhong
mesh_terms: D000328:Adult; D053687:Adult Stem Cells / Q000378:metabolism*; D065150:Cellular Reprogramming; D053595:Embryonic Stem Cells / Q000378:metabolism*; D015870:Gene Expression; D020869:Gene Expression Profiling; D053263:Gene Regulatory Networks; D006801:Humans; D057026:Induced Pluripotent Stem Cells / Q000378:metabolism*; D008957:Models, Genetic; D010641:Phenotype; D025341:Principal Component Analysis; D013269:Stochastic Processes