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Published on: June 23, 2023
Exploring the Influence of Parameters on the p53 Response When Single-Stranded Breaks and Double-Stranded Breaks
1School of Electronics and Information Technology, Sun Yat-Sen University, No. 132 East Outer Ring Road, Guangzhou, 510006, China.
Abstract:
The p53 response to DNA damage is closely related to cell fate decisions. P53 preferentially responds to single-stranded breaks (SSBs) exhibiting a graded response when single-stranded breaks (SSBs) and double-stranded breaks (DSBs) coexist. However, how p53 natural preferential response is affected by kinetic parameters remains to be elucidated. Here, based on the hybrid model I, we computationally searched all the parameters and parameter combinations in the parameter space to identify those that could alter the natural preferential response of p53 when SSBs and DSBs coexist. Firstly, when a single parameter is changed, the parameters that can alter graded response to produce p53 pulse response are production rate of ATM- and Rad3-related kinase(ATR) (beta2), ATR degradation rate (alf2) and ATR-dependent p53 production rate (beta31). Secondly, when double parameters are changed, the combinations of beta2/alf2/beta31 and any other parameters are capable of altering the p53 natural preferential response, and the combination of ataxia-telangiectasia mutated kinase (ATM)-dependent p53 production rate (beta3) and Wip1-dependent p53 degradation rate (alf35) is also capable of altering the p53 natural preferential response. Thirdly, we analyzed the sensitivity of both pulse amplitude and apoptosis to kinetic parameters. We find that pulse amplitude is most sensitive to ATM-dependent p53 production rate (beta3), and apoptosis is more sensitive to damage-dependent ATM production rate (beta1), wip1-dependent ATM degradation rate (alf15), wip1 production rate (beta5) and wip1 degradation rate (alf5). What is more, the smaller the value of alf15/beta5 or the larger the value of beta1/alf5, the more susceptible the cells are to apoptosis. These results provide clues to design more effective and less toxic targeted treatments for cancer.
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