The mechanism accounting for DNA damage strength modulation of p53 dynamical properties.

IF 0.9 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Aiqing Ma, Xianhua Dai
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引用次数: 0

Abstract

The P53 protein levels exhibit a series of pulses in response to DNA double-stranded breaks (DSBs). However, the mechanism regarding how damage strength regulates physical parameters of p53 pulses remains to be elucidated. This paper established two mathematical models translating the mechanism of p53 dynamics in response to DSBs; the two models can reproduce many results observed in the experiments. Based on the models, numerical analysis suggested that the interval between pulses increases as the damage strength decreases, and we proposed that the p53 dynamical system in response to DSBs is modulated by frequency. Next, we found that the ATM positive self-feedback can realize the system characteristic that the pulse amplitude is independent of the damage strength. In addition, the pulse interval is negatively correlated with apoptosis; the greater the damage strength, the smaller the pulse interval, the faster the p53 accumulation rate, and the cells are more susceptible to apoptosis. These findings advance our understanding of the mechanism of p53 dynamical response and give new insights for experiments to probe the dynamics of p53 signaling.

DNA损伤强度调控p53动力学特性的机制。
P53蛋白水平表现出一系列脉冲响应DNA双链断裂(DSBs)。然而,损伤强度调控p53脉冲物理参数的机制尚不清楚。本文建立了两个数学模型来解释p53响应DSBs的动力学机制;这两个模型可以再现许多实验中观察到的结果。在此基础上,数值分析表明,脉冲间隔随着损伤强度的减小而增大,并提出p53动力系统响应DSBs是受频率调制的。其次,我们发现ATM正自反馈可以实现脉冲幅值与损伤强度无关的系统特性。此外,脉冲间隔与细胞凋亡呈负相关;损伤强度越大,脉冲间隔越短,p53积累速度越快,细胞更容易发生凋亡。这些发现促进了我们对p53动态反应机制的理解,并为探索p53信号动力学的实验提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Bioinformatics and Computational Biology
Journal of Bioinformatics and Computational Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
2.10
自引率
0.00%
发文量
57
期刊介绍: The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information. The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.
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