NF-κ B信号通路中蛋白质合成时滞和负反馈回路的组合动力学

IF 1.9 4区 生物学 Q4 CELL BIOLOGY
Fang Yan, Li Liu, Qingyun Wang
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引用次数: 1

摘要

转录因子NF-κ B连接免疫反应和炎症反应,其不同的振荡模式决定不同的细胞命运。本研究基于实验证据,建立了Iκ Bα蛋白合成时滞的数学模型。结果表明,时间延迟能够通过Hopf分岔驱动NF-κ B振荡。同时,振幅和周期对时延敏感。此外,时间延迟阈值是表征负反馈回路的四个参数的函数。同样,这些参数也对延时引起的NF-κ B振荡的幅度和周期有影响。因此,NF-κ B的振荡模式是时间延迟与负反馈环耦合的协同结果。这些结果不仅增强了对NF-κ B生物振荡的认识,而且为抗炎或抗癌药物的开发提供了线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Combinatorial dynamics of protein synthesis time delay and negative feedback loop in NF-κ B signalling pathway

Combinatorial dynamics of protein synthesis time delay and negative feedback loop in NF-κ B signalling pathway

The transcription factor NF-κ B links immune response and inflammatory reaction and its different oscillation patterns determine different cell fates. In this study, a mathematical model with Iκ Bα protein synthesis time delay is developed based on the experimental evidences. The results show that time delay has the ability to drive oscillation of NF-κ B via Hopf bifurcation. Meanwhile, the amplitude and period are sensitive to the time delay. Moreover, the time delay threshold is a function of four parameters characterising the negative feedback loop. Likewise, the parameters also have effects on the amplitude and period of NF-κ B oscillation induced by time delay. Therefore, the oscillation patterns of NF-κ B are collaborative results of time delay coupled with the negative feedback loop. These results not only enhance the understanding of NF-κ B biological oscillation but also provide clues for the development of anti-inflammatory or anti-cancer drugs.

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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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