Literature DB >> 32109853

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

Arindam Ghosh1, Anup Som2.   

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.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Co-expression network; Critical genes; Differential gene expression; Embryonic stem cells; GO enrichment; Pathway analysis; RNA-seq; Stem cell bioinformatics

Mesh:

Year:  2020        PMID: 32109853     DOI: 10.1016/j.compbiolchem.2020.107239

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  5 in total

1.  Small heat-shock protein HSPB3 promotes myogenesis by regulating the lamin B receptor.

Authors:  Tatiana Tiago; Barbara Hummel; Federica F Morelli; Valentina Basile; Jonathan Vinet; Veronica Galli; Laura Mediani; Francesco Antoniani; Silvia Pomella; Matteo Cassandri; Maria Giovanna Garone; Beatrice Silvestri; Marco Cimino; Giovanna Cenacchi; Roberta Costa; Vincent Mouly; Ina Poser; Esti Yeger-Lotem; Alessandro Rosa; Simon Alberti; Rossella Rota; Anat Ben-Zvi; Ritwick Sawarkar; Serena Carra
Journal:  Cell Death Dis       Date:  2021-05-06       Impact factor: 8.469

2.  Transcriptomic Analysis of Human Naïve and Primed Pluripotent Stem Cells.

Authors:  Arindam Ghosh; Anup Som
Journal:  Methods Mol Biol       Date:  2022

3.  A versatile and robust cell purification system with an RNA-only circuit composed of microRNA-responsive ON and OFF switches.

Authors:  Yoshihiko Fujita; Moe Hirosawa; Karin Hayashi; Takeshi Hatani; Yoshinori Yoshida; Takuya Yamamoto; Hirohide Saito
Journal:  Sci Adv       Date:  2022-01-05       Impact factor: 14.136

Review 4.  Redox Homeostasis and Regulation in Pluripotent Stem Cells: Uniqueness or Versatility?

Authors:  Julia S Ivanova; Olga G Lyublinskaya
Journal:  Int J Mol Sci       Date:  2021-10-11       Impact factor: 5.923

5.  SISTEMA: A large and standardized collection of transcriptome data sets for human pluripotent stem cell research.

Authors:  Margot Jarrige; Hélène Polvèche; Alexandre Carteron; Stéphane Janczarski; Marc Peschanski; Didier Auboeuf; Cécile Martinat
Journal:  iScience       Date:  2021-06-24
  5 in total

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