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酶通过底物的隔离:在确定论和随机论领域中的分析。

Enzyme sequestration by the substrate: An analysis in the deterministic and stochastic domains.

机构信息

Department of Engineering, University of Cambridge, Cambridge, United Kingdom.

出版信息

PLoS Comput Biol. 2018 May 17;14(5):e1006107. doi: 10.1371/journal.pcbi.1006107. eCollection 2018 May.

Abstract

This paper is concerned with the potential multistability of protein concentrations in the cell. That is, situations where one, or a family of, proteins may sit at one of two or more different steady state concentrations in otherwise identical cells, and in spite of them being in the same environment. For models of multisite protein phosphorylation for example, in the presence of excess substrate, it has been shown that the achievable number of stable steady states can increase linearly with the number of phosphosites available. In this paper, we analyse the consequences of adding enzyme docking to these and similar models, with the resultant sequestration of phosphatase and kinase by the fully unphosphorylated and by the fully phosphorylated substrates respectively. In the large molecule numbers limit, where deterministic analysis is applicable, we prove that there are always values for these rates of sequestration which, when exceeded, limit the extent of multistability. For the models considered here, these numbers are much smaller than the affinity of the enzymes to the substrate when it is in a modifiable state. As substrate enzyme-sequestration is increased, we further prove that the number of steady states will inevitably be reduced to one. For smaller molecule numbers a stochastic analysis is more appropriate, where multistability in the large molecule numbers limit can manifest itself as multimodality of the probability distribution; the system spending periods of time in the vicinity of one mode before jumping to another. Here, we find that substrate enzyme sequestration can induce bimodality even in systems where only a single steady state can exist at large numbers. To facilitate this analysis, we develop a weakly chained diagonally dominant M-matrix formulation of the Chemical Master Equation, allowing greater insights in the way particular mechanisms, like enzyme sequestration, can shape probability distributions and therefore exhibit different behaviour across different regimes.

摘要

本文关注的是细胞中蛋白质浓度的潜在多稳定性。也就是说,在其他条件相同的情况下,一种或一组蛋白质可能处于两种或更多不同的稳定状态,尽管它们处于相同的环境中。例如,对于多磷酸化位点蛋白质模型,在存在过量底物的情况下,已经表明可实现的稳定稳态数量可以随可用磷酸化位点数量线性增加。在本文中,我们分析了将酶对接添加到这些和类似模型中的后果,由此导致磷酸酶和激酶分别被完全未磷酸化和完全磷酸化的底物隔离。在大分子数量限制下,其中可以应用确定性分析,我们证明,对于这些隔离速率,总是存在一些值,当超过这些值时,就会限制多稳定性的程度。对于这里考虑的模型,这些值比酶与可修饰状态下的底物的亲和力小得多。随着底物酶隔离的增加,我们进一步证明稳态数量将不可避免地减少到一个。对于较小的分子数量,更适合进行随机分析,其中在大分子数量限制下的多稳定性可以表现为概率分布的多峰性;系统在一个模式附近花费一段时间,然后跳到另一个模式。在这里,我们发现即使在只有一个稳态在大量存在的情况下,底物酶隔离也可以诱导双峰性。为了便于进行这种分析,我们开发了一种弱链对角占优 M 矩阵形式的化学主方程,允许更深入地了解特定机制(如酶隔离)如何塑造概率分布,从而在不同的情况下表现出不同的行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f92f/5976211/4fe7e651f344/pcbi.1006107.g001.jpg

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