Persistent random motion Uncovering cell migration dynamics
Persistent random motion Uncovering cell migration dynamics
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DOI：
10.1016/j.jtbi.2010.09.022
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发表时间：
2010-12-21
影响因子：
2
通讯作者：
Llopis, Isaac
中科院分区：
文献类型：
--
作者：
Campos, Daniel;Mendez, Vicenc;Llopis, Isaac
在本文中，我们分析研究坚持-最近引入的滑移模型用来解释自由细胞的随机迁移。我们证明了许多不同类型细胞的持续运动与允许分析介观处理的随机再取向模型是相容的。这一点通过检查和讨论文献中不同来源的实验数据以及拟合其中的一些结果得到了证明。最近从细胞跟踪数据中获得的许多明显复杂的迁移模式，如均方位移的幂律依赖性或峰度和速度分布的非高斯行为，这些都偏离了经典Ornstein-Uhlenbeck过程的预测（C）2010 Elsevier Ltd版权所有
In this paper we study analytically the stick-slip models recently Introduced to explain the stochastic migration of free cells We show that persistent motion of cells of many different types is compatible with stochastic reorientation models which admit an analytical mesoscopic treatment This is proved by examining and discussing experimental data compiled from different sources in the literature and by fitting some of these results too We are able to explain many of the apparently complex migration patterns obtained recently from cell tracking data like power-law dependences in the mean square displacement or non-Gaussian behavior for the kurtosis and the velocity distributions which depart from the predictions of the classical Ornstein-Uhlenbeck process (C) 2010 Elsevier Ltd All rights reserved