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簇内钙信号的渗滤。

Intra-cluster percolation of calcium signals.

机构信息

Departamento de Física, Facultad de Ciencias Exactas y Naturales-Universidad de Buenos Aires, Buenos Aires, Argentina.

出版信息

PLoS One. 2010 Feb 18;5(2):e8997. doi: 10.1371/journal.pone.0008997.

Abstract

Calcium signals are involved in a large variety of physiological processes. Their versatility relies on the diversity of spatiotemporal behaviors that the calcium concentration can display. Calcium entry through inositol 1,4,5-trisphosphate (IP3) receptors (IP3R's) is a key component that participates in both local signals such as "puffs" and in global waves. IP3R's areusually organized in clusters on the membrane of the endoplasmic reticulum and their spatial distribution has important effects on the resulting signal. Recent high resolution observations of Ca2+ puffs offer a window to study intra-cluster organization. The experiments give the distribution of the number of IP3R's that open during each puff without much processing. Here we present a simple model with which we interpret the experimental distribution in terms of two stochastic processes: IP3 binding and unbinding and Ca2+-mediated inter-channel coupling. Depending on the parameters of the system, the distribution may be dominated by one or the other process. The transition between both extreme case sis similar to a percolation process. We show how, from an analysis of the experimental distribution, information can be obtained on the relative weight of the two processes. The largest distance over which Ca2+-mediated coupling acts and the density of IP3-bound IP3R's of the cluster can also be estimated. The approach allows us to infer properties of the interactions among the channels of the cluster from statistical information on their emergent collective behavior.

摘要

钙信号参与了大量的生理过程。它们的多功能性依赖于钙浓度可以显示的时空行为的多样性。通过肌醇 1,4,5-三磷酸 (IP3) 受体 (IP3R) 的钙内流是参与局部信号(如“脉冲”)和全局波的关键组成部分。IP3R 通常在内质网膜上形成簇,它们的空间分布对产生的信号有重要影响。最近对 Ca2+ 脉冲的高分辨率观察提供了研究簇内组织的窗口。这些实验提供了在每个脉冲期间打开的 IP3R 数量的分布,而无需进行太多处理。在这里,我们提出了一个简单的模型,用它来根据两个随机过程来解释实验分布:IP3 的结合和解离以及 Ca2+ 介导的通道间耦合。根据系统的参数,分布可能由一个或另一个过程主导。两种极端情况之间的过渡类似于渗流过程。我们展示了如何从实验分布的分析中获取有关两个过程相对权重的信息。还可以估计 Ca2+ 介导的耦合作用的最大距离以及簇中结合 IP3 的 IP3R 的密度。该方法允许我们从通道的集体行为的统计信息中推断出簇中通道之间相互作用的性质。

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