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具有实际簇动力学的随机着火-扩散-着火模型。

Stochastic fire-diffuse-fire model with realistic cluster dynamics.

作者信息

Calabrese Ana, Fraiman Daniel, Zysman Daniel, Ponce Dawson Silvina

机构信息

Departamento de Física, FCEN-UBA, Ciudad Universitaria, Pabellón I, 1428 Buenos Aires, Argentina.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Sep;82(3 Pt 1):031910. doi: 10.1103/PhysRevE.82.031910. Epub 2010 Sep 22.

Abstract

Living organisms use waves that propagate through excitable media to transport information. Ca2+ waves are a paradigmatic example of this type of processes. A large hierarchy of Ca2+ signals that range from localized release events to global waves has been observed in Xenopus laevis oocytes. In these cells, Ca2+ release occurs trough inositol 1,4,5-trisphosphate receptors (IP3Rs) which are organized in clusters of channels located on the membrane of the endoplasmic reticulum. In this article we construct a stochastic model for a cluster of IP3R 's that replicates the experimental observations reported in [D. Fraiman, Biophys. J. 90, 3897 (2006)]. We then couple this phenomenological cluster model with a reaction-diffusion equation, so as to have a discrete stochastic model for calcium dynamics. The model we propose describes the transition regimes between isolated release and steadily propagating waves as the IP3 concentration is increased.

摘要

生物利用在可兴奋介质中传播的波来传输信息。钙离子波就是这类过程的一个典型例子。在非洲爪蟾卵母细胞中已观察到从局部释放事件到全局波的大量钙离子信号层次结构。在这些细胞中,钙离子通过肌醇1,4,5 -三磷酸受体(IP3Rs)释放,这些受体在内质网膜上以通道簇的形式组织。在本文中,我们构建了一个IP3R簇的随机模型,该模型复制了[D. Fraiman, Biophys. J. 90, 3897 (2006)]中报道的实验观察结果。然后,我们将这个唯象簇模型与一个反应扩散方程耦合,从而得到一个用于钙动力学的离散随机模型。我们提出的模型描述了随着IP3浓度增加,孤立释放和稳定传播波之间的过渡状态。

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