RNA-Seq analysis reveals pluripotency-associated genes and their interaction networks in human embryonic stem cells. (April 2020)

• Record Type: Journal Article
• Authors: Ghosh, Arindam; Som, Anup
• Is Part Of: Computational biology and chemistry. Volume 85(2020)
• Publication Date: 2020-04
• Subjects: Embryonic stem cells -- RNA-seq -- Differential gene expression -- Critical genes -- Co-expression network -- GO enrichment -- Pathway analysis -- Stem cell bioinformatics; 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.2020.107239
• Languages: English
• ISSNs: 1476-9271

Abstract

Graphical abstract: Highlights: Transcriptome profiles of human pluripotent and non-pluripotent samples were compared. Identified 498 pluripotency-associated genes and 432 differentiation markers. 32 genes identified to be critical for pluripotency. List includes some of the well known stemness genes like NANOG, POU5F1 and LIN28. We report several genes whose exact molecular function need to be explored. Abstract: Insight into the key genes of pluripotency in human and their interrelationships is necessary for understanding the underlying mechanism of pluripotency and hence their successful application in regenerative medicine. The recent advances in transcriptomics technologies have created new opportunities to decipher the genes involved in pluripotency, genetic network that governs the unique properties of embryonic stem cells and lineage differentiation mechanisms in a deeper scale. There are a large number of experimental studies on human embryonic stem cells (hESCs) being routinely conducted for unfolding the underlying biology of embryogenesis and their clinical prospects. However, the outcome of these studies often lacks consensus due to differences in samples, experimental techniques and/or analysis protocols. A universal stemness gene list is still lacking. Thus, we aim to identify the pluripotency-associated genes and their interaction network. In this quest, we compared transcriptomic profiles of pluripotent and non-pluripotent samples from diverse cell lines/types generated through RNA-sequencing (RNA-seq). We used a uniform pipeline for the analysis of raw RNA-seq data in order to reduce the amount of variation. Our analysis revealed a consensus set of 498 pluripotency-associated genes and 432 genes as potential pluripotent cell differentiation markers. Furthermore, we predicted 32 genes as "pluripotency critical genes". These pluripotency critical genes formed a tightly bound co-expression network with small-world architecture. Gene ontology (GO) and pathway enrichment analysis, StemChecker and literature survey confirmed the involvement of the genes in the induction and maintenance of pluripotency, though more experimental studies are required for understanding their molecular mechanisms in human.