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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