Literature DB >> 27579918

Meta-Analysis of Transcriptome Regulation During Induction to Cardiac Myocyte Fate From Mouse and Human Fibroblasts.

Shima Rastegar-Pouyani1, Niusha Khazaei1, Ping Wee2, Moein Yaqubi3,4, Abdulshakour Mohammadnia5.   

Abstract

Ectopic expression of a defined set of transcription factors (TFs) can directly convert fibroblasts into a cardiac myocyte cell fate. Beside inefficiency in generating induced cardiomyocytes (iCMs), the molecular mechanisms that regulate this process remained to be well defined. The main purpose of this study was to provide better insight on the transcriptome regulation and to introduce a new strategy for candidating TFs for the transdifferentiation process. Eight mouse and three human high quality microarray data sets were analyzed to find differentially expressed genes (DEGs), which we integrated with TF-binding sites and protein-protein interactions to construct gene regulatory and protein-protein interaction networks. Topological and biological analyses of constructed gene networks revealed the main regulators and most affected biological processes. The DEGs could be categorized into two distinct groups, first, up-regulated genes that are mainly involved in cardiac-specific processes and second, down-regulated genes that are mainly involved in fibroblast-specific functions. Gata4, Mef2a, Tbx5, Tead4 TFs were identified as main regulators of cardiac-specific gene expression program; and Trp53, E2f1, Myc, Sfpi1, Lmo2, and Meis1 were identified as TFs which mainly regulate the expression of fibroblast-specific genes. Furthermore, we compared gene expression profiles and identified TFs between mouse and human to find the similarities and differences. In summary, our strategy of meta-analyzing the data of high-throughput techniques by computational approaches, besides revealing the mechanisms involved in the regulation of the gene expression program, also suggests a new approach for increasing the efficiency of the direct reprogramming of fibroblasts into iCMs. J. Cell. Physiol. 232: 2053-2062, 2017.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

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Year:  2017        PMID: 27579918     DOI: 10.1002/jcp.25580

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  3 in total

1.  Comprehensive transcriptome mining of the direct conversion of mesodermal cells.

Authors:  Bijan Akbari; Ping Wee; Moein Yaqubi; Abdulshakour Mohammadnia
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

Review 2.  Computational approaches for predicting key transcription factors in targeted cell reprogramming (Review).

Authors:  Guillermo-Issac Guerrero-Ramirez; Cesar-Miguel Valdez-Cordoba; Jose-Francisco Islas-Cisneros; Victor Trevino
Journal:  Mol Med Rep       Date:  2018-05-29       Impact factor: 2.952

Review 3.  Direct cell-fate conversion of somatic cells: Toward regenerative medicine and industries.

Authors:  Kenichi Horisawa; Atsushi Suzuki
Journal:  Proc Jpn Acad Ser B Phys Biol Sci       Date:  2020       Impact factor: 3.493

  3 in total

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