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PLoS One ; 6(11): e27231, 2011.
Article in English | MEDLINE | ID: mdl-22076139

ABSTRACT

Rapid cellular growth and multiplication, limited replicative senescence, calibrated sensitivity to apoptosis, and a capacity to differentiate into almost any cell type are major properties that underline the self-renewal capabilities of human pluripotent stem cells (hPSCs). We developed an integrated bioinformatics pipeline to understand the gene regulation and functions involved in maintaining such self-renewal properties of hPSCs compared to matched fibroblasts. An initial genome-wide screening of transcription factor activity using in silico binding-site and gene expression microarray data newly identified E2F as one of major candidate factors, revealing their significant regulation of the transcriptome. This is underscored by an elevated level of its transcription factor activity and expression in all tested pluripotent stem cell lines. Subsequent analysis of functional gene groups demonstrated the importance of the TFs to self-renewal in the pluripotency-coupled context; E2F directly targets the global signaling (e.g. self-renewal associated WNT and FGF pathways) and metabolic network (e.g. energy generation pathways, molecular transports and fatty acid metabolism) to promote its canonical functions that are driving the self-renewal of hPSCs. In addition, we proposed a core self-renewal module of regulatory interplay between E2F and, WNT and FGF pathways in these cells. Thus, we conclude that E2F plays a significant role in influencing the self-renewal capabilities of hPSCs.


Subject(s)
Biomarkers/metabolism , Cell Differentiation , E2F1 Transcription Factor/metabolism , Embryonic Stem Cells/cytology , Fibroblasts/cytology , Gene Expression Profiling , Pluripotent Stem Cells/cytology , Binding Sites , Blotting, Western , Cell Proliferation , Cells, Cultured , E2F1 Transcription Factor/genetics , Embryonic Stem Cells/metabolism , Fibroblasts/metabolism , Humans , Luciferases/metabolism , Oligonucleotide Array Sequence Analysis , Pluripotent Stem Cells/metabolism , RNA, Messenger/genetics , Real-Time Polymerase Chain Reaction , Reverse Transcriptase Polymerase Chain Reaction , Signal Transduction
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