延迟CDK1-APC反馈回路的分岔和振荡动力学

IF 1.9 4区 生物学 Q4 CELL BIOLOGY
Shenshuang Zhou, Wei Zhang, Yuan Zhang, Xuan Ni, Zhouhong Li
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引用次数: 0

摘要

大量的实验证据表明,CDK1-APC反馈回路的动力学在调节细胞周期过程中起着至关重要的作用,但该回路调节的动力学机制尚不完全清楚。在这里,作者系统地研究了延迟CDK1-APC反馈回路的稳定性和分岔准则。结果表明,APC灭活CDK1的最大反应速率可驱动CDK1活性()和APC活性()的持续振荡,且振荡幅度随反应速率的增加而在较宽范围内增大;CDK1一定范围的自激活率对于产生这些振荡也很重要,过高或过低的自激活率都不能产生振荡。此外,他们推导了确定稳定性和Hopf分岔的充分条件,并发现激活CDK1和APC所需的时间延迟总和可以诱导和振荡,即使它们处于确定的稳定状态。此外,他们提出了周期振荡性质的显式算法。最后,通过数值模拟验证了理论分析的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bifurcation and oscillatory dynamics of delayed CDK1-APC feedback loop

Bifurcation and oscillatory dynamics of delayed CDK1-APC feedback loop

Extensive experimental evidence has been demonstrated that the dynamics of CDK1-APC feedback loop play crucial roles in regulating cell cycle processes, but the dynamical mechanisms underlying the regulation of this loop are still not completely understood. Here, the authors systematically investigated the stability and bifurcation criteria for a delayed CDK1-APC feedback loop. They showed that the maximum reaction rate of CDK1 inactivation by APC can drive sustained oscillations of CDK1 activity ( ) and APC activity ( ), and the amplitude of these oscillations is increasing with the increase of the reaction rate over a wide range; a certain range of the self-activation rate for CDK1 is also significant for generating these oscillations, for too high or too low rates the oscillations cannot be generated. Moreover, they derived the sufficient conditions to determine the stability and Hopf bifurcations, and found that the sum of time delays required for activating CDK1 and APC can induce and to be oscillatory, even when the and settle in a definite stable steady state. Furthermore, they presented an explicit algorithm for the properties of periodic oscillations. Finally, numerical simulations have been presented to justify the validity of theoretical analysis.

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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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