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Investigating The Significant Proteins Of Heart Regeneration By Comparing The PPI Networks Of Zebrafish, MRL Mouse And C57 Mice Via Gene Expression Analysis | 3767
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Investigating the significant proteins of heart regeneration by comparing the PPI networks of zebrafish, MRL mouse and C57 mice via gene expression analysis

2nd International Conference on Proteomics & Bioinformatics

Zong-Yu Kuo and Bor-Sen Chen

Posters: J Proteomics Bioinform

DOI: 10.4172/0974-276X.S1.064

Regenerative ability varies depending on animal species and developmental stages. In mammals, after a myocardial infarction (MI) episode, the damaged myocardium is replaced by scar tissue with negligible cardiomyocyte proliferation. In contrast, zebrafish can display an extensive regenerative capacity, as they are able to restore the complete cardiac tissue after partial ventricular amputation. Also, the Murphy Roth Large (MRL) mouse, a strain capable of regenerating right ventricular myocardium, has a high post-myocardial infarction survival rate compared with C57BL6/J (C57) mice. To further explore the significant factors to determine the variability of regenerative ability, we utilize the gene expression data of zebrafish, MRL mouse and C57 mice to find significant expression genes and construct their corresponding protein-protein interaction (PPI) networks. By comparing the significant expression genes and PPI networks with each other, we can find the important proteins that influence the regenerative ability. Because the differences in the environments of injured tissues especially with regards to the immune system have long been speculated to affect the regeneration ability, we also construct their corresponding immune-related PPI networks to compare with each other to investigate their roles in regenerative ability. We expect the result can be applied to improve the regenerative capability of cardiomyocytes in the human heart under medical treatment with selected pharmaceuticals.
Zong-Yu Kuo received the B.S. degree in electrical engineering from National Sun Yat-sen University, Kaohsiung, Taiwan, in 2007, the M.S. degree in electrical engineering from National Tsing Hua University, Hsinchu, Taiwan, in 2011. He is currently working toward the Ph.D. degree in electrical engineering at National Tsing Hua University, Hsinchu. His current research interests include bioinformatics and system biology. Bor-Sen Chen received the PhD degree from the University of Southern California, Los Angeles, in 1982. He is currently the Tsing Hua University professor of electrical engineering and computer science at National Tsing Hua University, Hsinchu, Taiwan. His current research interests include control engineering, signal processing, and systems biology. He is a member of the technique committee of System Biology of IEEE systems, Man and Cybernetics. He is a fellow of the IEEE and a member of Editorial Board of BMC.
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