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边界诱导的动态丝状网络和囊泡聚集体的取向。

Boundary-induced orientation of dynamic filament networks and vesicle agglomerations.

作者信息

Greulich Philip, Santen Ludger

机构信息

SUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Dec;84(6 Pt 1):060902. doi: 10.1103/PhysRevE.84.060902. Epub 2011 Dec 27.

Abstract

We find a statistical mechanism that can adjust orientations of intracellular filaments to cell geometry in the absence of organizing centers. The effect is based on random and isotropic filament (de-)polymerization dynamics and is independent of filament interactions and explicit regulation. It can be understood by an analogy to electrostatics and appears to be induced by the confining boundaries; for periodic boundary conditions, no orientational bias emerges. Including active transport of particles, the model reproduces experimental observations of vesicle accumulations in transected axons.

摘要

我们发现了一种统计机制,在没有组织中心的情况下,这种机制可以使细胞内细丝的方向与细胞几何形状相匹配。这种效应基于随机且各向同性的细丝(解)聚合动力学,并且与细丝相互作用和明确的调控无关。它可以通过与静电学的类比来理解,并且似乎是由限制边界所诱导的;对于周期性边界条件,不会出现方向偏差。该模型纳入粒子的主动运输后,再现了横断轴突中囊泡积累的实验观察结果。

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