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用于p53动力学的二维多项式型规范弛豫振荡器模型。

Two-dimensional polynomial type canonical relaxation oscillator model for p53 dynamics.

作者信息

Demirkıran Gökhan, Kalaycı Demir Güleser, Güzeliş Cüneyt

机构信息

Department of Electrical-Electronics Engineering, Yaşar University, Bornova, İzmir, 35100, Turkey.

The Graduate School of Natural and Applied Sciences, Dokuz Eylül University, Buca, İzmir, 35160, Turkey.

出版信息

IET Syst Biol. 2018 Aug;12(4):138-147. doi: 10.1049/iet-syb.2017.0077.

DOI:10.1049/iet-syb.2017.0077
PMID:33451182
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8687216/
Abstract

p53 network, which is responsible for DNA damage response of cells, exhibits three distinct qualitative behaviours; low state, oscillation and high state, which are associated with normal cell cycle progression, cell cycle arrest and apoptosis, respectively. The experimental studies demonstrate that these dynamics of p53 are due to the ATM and Wip1 interaction. This paper proposes a simple two-dimensional canonical relaxation oscillator model based on the identified topological structure of ATM and Wip1 interaction underlying these qualitative behaviours of p53 network. The model includes only polynomial terms that have the interpretability of known ATM and Wip1 interaction. The introduced model is useful for understanding relaxation oscillations in gene regulatory networks. Through mathematical analysis, we investigate the roles of ATM and Wip1 in forming of these three essential behaviours, and show that ATM and Wip1 constitute the core mechanism of p53 dynamics. In agreement with biological findings, we show that Wip1 degradation term is a highly sensitive parameter, possibly related to mutations. By perturbing the corresponding parameters, our model characterizes some mutations such as ATM deficiency and Wip1 overexpression. Finally, we provide intervention strategies considering our observation that Wip1 seems to be an important target to conduct therapies for these mutations.

摘要

负责细胞DNA损伤反应的p53网络呈现出三种不同的定性行为:低状态、振荡和高状态,它们分别与正常细胞周期进程、细胞周期停滞和细胞凋亡相关。实验研究表明,p53的这些动态变化是由于ATM和Wip1的相互作用。本文基于所确定的ATM和Wip1相互作用的拓扑结构,提出了一个简单的二维规范弛豫振荡器模型,该拓扑结构是p53网络这些定性行为的基础。该模型仅包含具有已知ATM和Wip1相互作用可解释性的多项式项。所引入的模型有助于理解基因调控网络中的弛豫振荡。通过数学分析,我们研究了ATM和Wip1在形成这三种基本行为中的作用,并表明ATM和Wip1构成了p53动态变化的核心机制。与生物学发现一致,我们表明Wip1降解项是一个高度敏感的参数,可能与突变有关。通过扰动相应参数,我们的模型表征了一些突变,如ATM缺陷和Wip1过表达。最后,考虑到我们观察到Wip1似乎是针对这些突变进行治疗的重要靶点,我们提供了干预策略。

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Bifurcation analysis of bistable and oscillatory dynamics in biological networks using the root-locus method.使用根轨迹法对生物网络中的双稳态和振荡动力学进行分岔分析。
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本文引用的文献

1
Revealing determinants of two-phase dynamics of P53 network under gamma irradiation based on a reduced 2D relaxation oscillator model.基于简化二维弛豫振荡器模型揭示γ射线辐照下P53网络两相动力学的决定因素。
IET Syst Biol. 2018 Feb;12(1):26-38. doi: 10.1049/iet-syb.2017.0041.
2
Dynamics of P53 in response to DNA damage: Mathematical modeling and perspective.P53对DNA损伤反应的动力学:数学建模与展望
Prog Biophys Mol Biol. 2015 Nov;119(2):175-82. doi: 10.1016/j.pbiomolbio.2015.08.017. Epub 2015 Aug 13.
3
Determining the bistability parameter ranges of artificially induced lac operon using the root locus method.使用根轨迹法确定人工诱导型乳糖操纵子的双稳性参数范围。
Comput Biol Med. 2015 Jun;61:75-91. doi: 10.1016/j.compbiomed.2015.03.009. Epub 2015 Mar 24.
4
WIP1 phosphatase as a potential therapeutic target in neuroblastoma.WIP1磷酸酶作为神经母细胞瘤的潜在治疗靶点。
PLoS One. 2015 Feb 6;10(2):e0115635. doi: 10.1371/journal.pone.0115635. eCollection 2015.
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Encoding and decoding cellular information through signaling dynamics.通过信号动态对细胞信息进行编码和解码。
Cell. 2013 Feb 28;152(5):945-56. doi: 10.1016/j.cell.2013.02.005.
6
p53 dynamics control cell fate.p53 动态控制细胞命运。
Science. 2012 Jun 15;336(6087):1440-4. doi: 10.1126/science.1218351.
7
Regulation of the Wip1 phosphatase and its effects on the stress response.Wip1 磷酸酶的调节及其对应激反应的影响。
Front Biosci (Landmark Ed). 2012 Jan 1;17(4):1480-98. doi: 10.2741/3999.
8
Absence of Wip1 partially rescues Atm deficiency phenotypes in mice.Wip1 的缺失部分挽救了 Atm 缺陷表型的小鼠。
Oncogene. 2012 Mar 1;31(9):1155-65. doi: 10.1038/onc.2011.303. Epub 2011 Jul 18.
9
Two-phase dynamics of p53 in the DNA damage response.p53 在 DNA 损伤反应中的两相动力学。
Proc Natl Acad Sci U S A. 2011 May 31;108(22):8990-5. doi: 10.1073/pnas.1100600108. Epub 2011 May 16.
10
Stimulus-dependent dynamics of p53 in single cells.刺激依赖的单细胞中 p53 的动力学。
Mol Syst Biol. 2011 May 10;7:488. doi: 10.1038/msb.2011.20.