An integrative approach predicted co-expression sub-networks regulating properties of stem cells and differentiation. (October 2016)

• Record Type: Journal Article
• Authors: Sahu, Mousumi; Mallick, Bibekanand
• Is Part Of: Computational biology and chemistry. Volume 64(2016)
• Page Start: 250
• Page End: 262
• Publication Date: 2016-10
• Subjects: Stem cells -- Microarray -- GSEA -- Co-expression network -- k-clique sub-network; Chemistry -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; Biochemistry -- Data processing; Biology -- Data processing; Molecular biology -- Data processing; Periodicals; Electronic journals; 542.85
• DOI: 10.1016/j.compbiolchem.2016.07.006
• Languages: English
• ISSNs: 1476-9271

Abstract

Graphical abstract: Highlights: Seven genes are predicted contributing to precise hESCs-transcription-network. FGF2 helps in stemness and promotes differentiation forming different sub-networks. FGF2 modulates ECM helping in cell proliferation of hESCs and migration of Fib. Identified three sub-networks of Fib differentiation via TGF-β signaling. Abstract: The differentiation of human Embryonic Stem Cells (hESCs) is accompanied by the formation of different intermediary cells, gradually losing its stemness and acquiring differentiation. The precise mechanisms underlying hESCs integrity and its differentiation into fibroblast (Fib) are still elusive. Here, we aimed to assess important genes and co-expression sub-networks responsible for stemness, early differentiation of hESCs into embryoid bodies (EBs) and its lineage specification into Fibs. To achieve this, we compared transcriptional profiles of hESCs-EBs and EBs-Fibs and obtained differentially expressed genes (DEGs) exclusive to hESCs-EBs (early differentiation), EBs-Fibs (late differentiation) and common DEGs in hESCs-EBs and EBs-Fibs. Then, we performed gene set enrichment analysis (GSEA) followed by overrepresentation study and identified key genes for each gene category. The regulations of these genes were studied by integrating ChIP-Seq data of core transcription factors (TFs) and histone methylation marks in hESCs. Finally, we identified co-expression sub-networks from key genes of each gene category using k-clique sub-network extraction method. Our study predicted seven genes edicting core stemness properties forming a co-expression network. From the pathway analysis of sub-networks of hESCs-EBs, we hypothesize that FGF2 is contributing to pluripotent transcription network of hESCs in association with DNMT3B and JARID2 thereby facilitating cell proliferation. On the contrary, FGF2 is found to promote cell migration in Fibs along with DDR2, CAV1, DAB2, and PARVA. Moreover, our study identified three k-clique sub-networks regulating TGF-β signaling pathway thereby promoting EBs to Fibs differentiation by: (i) modulating extracellular matrix involving ITGB1, TGFB1I1 and GBP1, (ii) regulating cell cycle remodeling involving CDKN1A, JUNB and DUSP1 and (iii) helping in epithelial to mesenchymal transition (EMT) involving THBS1, INHBA and LOX. This study put forward the unexplored genes and co-expression sub-networks regulating stemness and different stages of differentiation of hESCs which will undoubtedly add to the comprehensive understanding of hESCs biology.