中国物理B ›› 2017, Vol. 26 ›› Issue (12): 128709-128709.doi: 10.1088/1674-1056/26/12/128709
所属专题： SPECIAL TOPIC — Soft matter and biological physics
• SPECIAL TOPIC—Soft matter and biological physics • 上一篇 下一篇
The birhythmicity increases the diversity of p53 oscillation induced by DNA damage
Dao-Guang Wang(王道光), Chun-Hong Zhou(周春红), Xiao-Peng Zhang(张小鹏)
- 1. National Laboratory of Solid State Microstructure and Department of Physics, Nanjing University, Nanjing 210093, China;
2. School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China;
3. Kuang Yaming Honors School, Nanjing University, Nanjing 210023, China
The birhythmicity increases the diversity of p53 oscillation induced by DNA damage
Dao-Guang Wang(王道光)1,2, Chun-Hong Zhou(周春红)2, Xiao-Peng Zhang(张小鹏)1,3
- 1. National Laboratory of Solid State Microstructure and Department of Physics, Nanjing University, Nanjing 210093, China;
2. School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China;
3. Kuang Yaming Honors School, Nanjing University, Nanjing 210023, China
摘要：
The tumor suppressor p53 mediates the cellular response to various stresses. It was experimentally shown that the concentration of p53 can show oscillations with short or long periods upon DNA damage. The underlying mechanism for this phenomenon is still not fully understood. Here, we construct a network model comprising the ATM-p53-Wip1 and p53-Mdm2 negative feedback loops and ATM autoactivation. We recapitulate the typical features of p53 oscillations including p53 birhythmicity. We show the dependence of p53 birhythmicity on various factors such as the phosphorylation status of ATM. We also perform stochastic simulation and find the noise-induced transitions between two modes of p53 oscillation, which increases the p53 variability in both the amplitude and period. These results suggest that p53 birhythmicity enhances the responsiveness of p53 network, which may facilitate its tumor suppressive function.
中图分类号: (Signal transduction networks)
- 87.18.Mp