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利用随机双稳开关在细胞决策中跨越时间尺度

Bridging time scales in cellular decision making with a stochastic bistable switch.

作者信息

Waldherr Steffen, Wu Jingbo, Allgöwer Frank

机构信息

Institute for Systems Theory and Automatic Control, Universität Stuttgart, Pfaffenwaldring 9, Stuttgart, Germany.

出版信息

BMC Syst Biol. 2010 Aug 9;4:108. doi: 10.1186/1752-0509-4-108.

DOI:10.1186/1752-0509-4-108
PMID:20696063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3247078/
Abstract

BACKGROUND

Cellular transformations which involve a significant phenotypical change of the cell's state use bistable biochemical switches as underlying decision systems. Some of these transformations act over a very long time scale on the cell population level, up to the entire lifespan of the organism.

RESULTS

In this work, we aim at linking cellular decisions taking place on a time scale of years to decades with the biochemical dynamics in signal transduction and gene regulation, occurring on a time scale of minutes to hours. We show that a stochastic bistable switch forms a viable biochemical mechanism to implement decision processes on long time scales. As a case study, the mechanism is applied to model the initiation of follicle growth in mammalian ovaries, where the physiological time scale of follicle pool depletion is on the order of the organism's lifespan. We construct a simple mathematical model for this process based on experimental evidence for the involved genetic mechanisms.

CONCLUSIONS

Despite the underlying stochasticity, the proposed mechanism turns out to yield reliable behavior in large populations of cells subject to the considered decision process. Our model explains how the physiological time constant may emerge from the intrinsic stochasticity of the underlying gene regulatory network. Apart from ovarian follicles, the proposed mechanism may also be of relevance for other physiological systems where cells take binary decisions over a long time scale.

摘要

背景

涉及细胞状态显著表型变化的细胞转变使用双稳态生化开关作为潜在的决策系统。其中一些转变在细胞群体水平上作用的时间尺度非常长,长达生物体的整个寿命。

结果

在这项工作中,我们旨在将发生在数年至数十年时间尺度上的细胞决策与信号转导和基因调控中发生在数分钟至数小时时间尺度上的生化动力学联系起来。我们表明,随机双稳态开关形成了一种可行的生化机制,用于在长时间尺度上实现决策过程。作为一个案例研究,该机制被应用于模拟哺乳动物卵巢中卵泡生长的起始,其中卵泡池耗竭的生理时间尺度约为生物体的寿命。我们基于所涉及的遗传机制的实验证据构建了一个简单的数学模型。

结论

尽管存在潜在的随机性,但所提出的机制在经历所考虑的决策过程的大量细胞中产生了可靠的行为。我们的模型解释了生理时间常数如何从潜在基因调控网络的内在随机性中出现。除了卵巢卵泡外,所提出的机制可能也与其他细胞在长时间尺度上做出二元决策的生理系统相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88e/3247078/199501e54cc8/1752-0509-4-108-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88e/3247078/0836a2ab87c2/1752-0509-4-108-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88e/3247078/d4a3effd7217/1752-0509-4-108-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88e/3247078/74e3ba94538e/1752-0509-4-108-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88e/3247078/34af9554083b/1752-0509-4-108-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88e/3247078/199501e54cc8/1752-0509-4-108-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88e/3247078/0836a2ab87c2/1752-0509-4-108-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88e/3247078/d4a3effd7217/1752-0509-4-108-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88e/3247078/74e3ba94538e/1752-0509-4-108-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88e/3247078/34af9554083b/1752-0509-4-108-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88e/3247078/199501e54cc8/1752-0509-4-108-5.jpg

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本文引用的文献

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