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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.
Interdisciplinary Sciences, Computational Life Sciences
|June 22, 2019
Summary
The p53 protein
Area of Science:
- Cellular biology
- Molecular biology
- Biophysics
Background:
- The p53 protein plays a crucial role in cell fate determination following DNA damage.
- p53 exhibits a preferential response to single-stranded breaks (SSBs) over double-stranded breaks (DSBs).
- The influence of kinetic parameters on this preferential response is not fully understood.
Purpose of the Study:
- To computationally investigate how kinetic parameters affect the p53 response to coexisting SSBs and DSBs.
- To identify specific parameters and their combinations that can alter the natural preferential response of p53.
- To analyze the sensitivity of p53 pulse amplitude and apoptosis to these kinetic parameters.
Main Methods:
- Utilized a hybrid model (model I) for computational analysis.
- Systematically searched the parameter space to identify critical kinetic parameters.
- Analyzed the impact of single and double parameter changes on p53 response dynamics.
Main Results:
- Production rate of ATR (beta2), ATR degradation rate (alf2), and ATR-dependent p53 production (beta31) can alter the graded p53 response to a pulse response.
- Combinations of these parameters with others, and specifically ATM-dependent p53 production rate (beta3) with Wip1-dependent p53 degradation rate (alf35), can modify the natural p53 response.
- Pulse amplitude is most sensitive to ATM-dependent p53 production rate (beta3); apoptosis is sensitive to ATM production rate (beta1), Wip1-dependent ATM degradation (alf15), Wip1 production (beta5), and Wip1 degradation (alf5).
Conclusions:
- Specific kinetic parameters, including those related to ATR and ATM signaling, can modulate the p53 response to DNA damage.
- Understanding these parameter sensitivities offers insights into cellular susceptibility to apoptosis.
- Findings can inform the development of targeted cancer therapies with improved efficacy and reduced toxicity.
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