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PMID: 27579918 Published · ppublish English Journal Article Meta-Analysis

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

Journal of cellular physiology ·Vol. 232 ·No. 8 ·2017-08-00 ·页码 2053-2062

Rastegar-Pouyani S, Khazaei N, Wee P, Yaqubi M, Mohammadnia A

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.

MeSH 主题词
Animals Cell Lineage Cell Transdifferentiation Cellular Reprogramming Computational Biology Databases, Genetic Fibroblasts/metabolism,pathology Gene Expression Profiling/methods Gene Expression Regulation Gene Regulatory Networks Heart Diseases/genetics,metabolism,pathology Humans Mice Myocytes, Cardiac/metabolism,pathology Oligonucleotide Array Sequence Analysis Phenotype Protein Interaction Maps Signal Transduction Transcription Factors/genetics,metabolism Transcription, Genetic Transcriptome
化学物质
Transcription Factors
作者与单位
共 5 位作者,点击展开单位 / ORCID
Rastegar-Pouyani Shima
Institute of Medical Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Khazaei Niusha
Institute of Medical Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Wee Ping
Faculty of Medicine and Dentistry, Department of Medical Genetics and Signal Transduction Research Group, University of Alberta, Edmonton, Alberta, Canada.
Yaqubi Moein
Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montréal, Quebec, Canada. | Douglas Mental Health University Institute, McGill University, Montréal, Quebec, Canada.
Mohammadnia Abdulshakour
Faculty of Medicine, Division of Hematology and Oncology, Department of Human Genetics, McGill University, Montreal, Quebec, Canada.
Article Info
Journal
Journal of cellular physiology
Abbr.
J Cell Physiol
ISSN
1097-4652
Published
2017-08-00
电子出版
2017-00-24
页码
2053-2062
Language
English
Country/Region
United States
NLM ID
0050222
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