Open Access

Global gene expression analysis combined with a genomics approach for the identification of signal transduction networks involved in postnatal mouse myocardial proliferation and development

  • Authors:
    • Ruoxin Wang
    • Chao Su
    • Xinting Wang
    • Qiang Fu
    • Xingjie Gao
    • Chunyan Zhang
    • Jie Yang
    • Xi Yang
    • Minxin Wei
  • View Affiliations

  • Published online on: November 3, 2017     https://doi.org/10.3892/ijmm.2017.3234
  • Pages:311-321
  • Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Mammalian cardiomyocytes may permanently lose their ability to proliferate after birth. Therefore, studying the proliferation and growth arrest of cardiomyocytes during the postnatal period may enhance the current understanding regarding this molecular mechanism. The present study identified the differentially expressed genes in hearts obtained from 24 h‑old mice, which contain proliferative cardiomyocytes; 7‑day‑old mice, in which the cardiomyocytes are undergoing a proliferative burst; and 10‑week‑old mice, which contain growth‑arrested cardiomyocytes, using global gene expression analysis. Furthermore, myocardial proliferation and growth arrest were analyzed from numerous perspectives, including Gene Ontology annotation, cluster analysis, pathway enrichment and network construction. The results of a Gene Ontology analysis indicated that, with increasing age, enriched gene function was not only associated with cell cycle, cell division and mitosis, but was also associated with metabolic processes and protein synthesis. In the pathway analysis, ‘cell cycle’, proliferation pathways, such as the ‘PI3K‑AKT signaling pathway’, and ‘metabolic pathways’ were well represented. Notably, the cluster analysis revealed that bone morphogenetic protein (BMP)1, BMP10, cyclin E2, E2F transcription factor 1 and insulin like growth factor 1 exhibited increased expression in hearts obtained from 7‑day‑old mice. In addition, the signal transduction pathway associated with the cell cycle was identified. The present study primarily focused on genes with altered expression, including downregulated anaphase promoting complex subunit 1, cell division cycle (CDC20), cyclin dependent kinase 1, MYC proto-oncogene, bHLH transcription factor and CDC25C, and upregulated growth arrest and DNA damage inducible α in 10-week group, which may serve important roles in postnatal myocardial cell cycle arrest. In conclusion, these data may provide important information regarding myocardial proliferation and development.

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January 2018
Volume 41 Issue 1

Print ISSN: 1107-3756
Online ISSN:1791-244X

2016 Impact Factor: 2.341
Ranked #21/128 Medicine Research and Experimental
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APA
Wang, R., Su, C., Wang, X., Fu, Q., Gao, X., Zhang, C. ... Wei, M. (2018). Global gene expression analysis combined with a genomics approach for the identification of signal transduction networks involved in postnatal mouse myocardial proliferation and development. International Journal of Molecular Medicine, 41, 311-321. https://doi.org/10.3892/ijmm.2017.3234
MLA
Wang, R., Su, C., Wang, X., Fu, Q., Gao, X., Zhang, C., Yang, J., Yang, X., Wei, M."Global gene expression analysis combined with a genomics approach for the identification of signal transduction networks involved in postnatal mouse myocardial proliferation and development". International Journal of Molecular Medicine 41.1 (2018): 311-321.
Chicago
Wang, R., Su, C., Wang, X., Fu, Q., Gao, X., Zhang, C., Yang, J., Yang, X., Wei, M."Global gene expression analysis combined with a genomics approach for the identification of signal transduction networks involved in postnatal mouse myocardial proliferation and development". International Journal of Molecular Medicine 41, no. 1 (2018): 311-321. https://doi.org/10.3892/ijmm.2017.3234