Synonymous mutations in oncogenesis and apoptosis versus survival unveiled by network modeling
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Xiang Li1, Yuan Chen1, Hong Qi2, Liyu Liu3, Jianwei Shuai1,4
1Department of Physics, Xiamen University, Xiamen 361005, China
2Complex Systems Research Center, Shanxi University, Taiyuan 030006, China
3College of Physics, Chongqing University, Chongqing 400044, China
4State Key laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Xiamen University, Xiamen 361005, China
Jianwei Shuai, e-mail: email@example.com
Keywords: TNF-α signaling network, parameter sensitivity analysis, mutation-induced oncogenesis, synonymous mutations, apoptosis versus survival
Received: November 11, 2015 Accepted: April 11, 2016 Published: April 25, 2016
Synonymous mutations, which do not alter the encoded amino acid, have been routinely assumed to be ‘neutral’ and would have no effect on phenotype or fitness. Yet increasing observations have emerged to overturn this conventional concept. However, convicted elucidation of how synonymous mutations exert biological consequences in oncogenesis is still lacking. By performing systematic analysis of the TNF-α signaling network model, we identify the critical dose which separates the cell survival and apoptosis regions and define the sensitive parameters with single-parameter sensitivity analysis. Combining with the cancer-related mutation spectra obtained from 9 cancers, our results hint that, similar as missense and nonsense mutations, synonymous mutations are also strongly correlated with the parameter sensitivity of the critical dose, providing possible causal mechanism of the mutations in cancer development. Based on such a correlation, we furthermore dissect that members of caspases family proteases (caspase3, 6, 8) could jointly inhibit NFκB activation, providing efficient pro-apoptotic behavior. Thus, we argue that apoptosis module could suppress survival module through negative feedback of caspases family on NFκB.
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