结合动力学分离和校对的随机模型中 T 细胞受体激活的时间一致性

ArXiv Pub Date : 2024-12-09
Thorsten Prüstel, Martin Meier-Schellersheim
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引用次数: 0

摘要

T细胞受体信号必须在严格的时间限制下可靠地运作。尽管假设完全不同的机制,两种突出的T细胞受体激活模型,动能分离和动能校对,都引入了不同的时间尺度。然而,到目前为止,对于这些特征时间是否以及如何在随机波动存在的情况下引起T细胞受体激活的一致时间,还缺乏一个清晰的理解。在这里,使用能够模拟相邻细胞膜之间分子相互作用的模拟方法,我们探索了一个结合动力学分离和校对元素的随机模型。我们的模拟表明,这两种机制相互作用,从而使相应的随机时间具有生物学功能。受体激活依赖于罕见的分子事件,这些事件不能很好地用潜在概率密度函数的平均值来表征。然而,一个一致的受体激活时间可以通过适度的校对步骤来确保。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Timing consistency of T cell receptor activation in a stochastic model combining kinetic segregation and proofreading.

T cell receptor signaling must operate reliably under tight time constraints. While assuming quite different mechanisms, two prominent models of T cell receptor activation, kinetic segregation and kinetic proofreading, both introduce a distinct time scale. However, a clear understanding of whether and how those characteristic times give rise to a consistent timing of T cell receptor activation in the presence of stochastic fluctuations has been lacking so far. Here, using a simulation approach capable of modeling molecular interactions between adjacent cell membranes, we explore a stochastic model that combines elements of kinetic segregation and proofreading. Our simulations suggest that the two mechanisms interoperate, thereby rendering the corresponding stochastic times biologically functional. Receptor activation relies on rare molecular events that are not well characterized by the mean of the underlying probability density function. Yet, a consistent timing of receptor activation can be ensured by a modest number of proofreading steps.

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