Derivation of persistent time for anisotropic migration of cells  

作　　者：刘艳平 张晓翠 吴宇宁 刘雯 李翔 刘如川 刘雳宇 帅建伟 

机构地区：[1]Department of Physics, Xiamen University, Xiamen 361005, China [2]State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Xiamen University, Xiamen 361102, China [3]College of Physics, Chongqing University, Chongqing 401331, China [4]Research Institute for Biomimetics and Soft Matter, Fujian Provincial Key Laboratory for Soft Functional Materials Research, Xiamen University, Xiamen 361102, China

出　　处：《Chinese Physics B》2017年第12期55-61,共7页中国物理B（英文版）

基　　金：Project supported by the National Natural Science Foundation of China(Grant Nos.31370830,11675134,11474345,and 11604030);the State Key Development Program for Basic Research of China(Grant No.2013CB837200);the 111 Project,China(Grant No.B16029);the China Postdoctoral Science Foundation(Grant No.2016M602071)

摘　　要：Cell migration plays an essential role in a wide variety of physiological and pathological processes. In this paper we numerically discuss the properties of an anisotropic persistent random walk （APRW） model, in which two different and independent persistent times are assumed for cell migrations in the x-and y-axis directions. An intrinsic orthogonal coordinates with the primary and non-primary directions can be defined for each migration trajectory based on the singular vector decomposition method. Our simulation results show that the decay time of single exponential distribution of velocity auto-correlation function （VACF） in the primary direction is actually the large persistent time of the APRW model, and the small decay time of double exponential VACF in the non-primary direction equals the small persistent time of the APRW model. Thus, we propose that the two persistent times of anisotropic migration of cells can be properly estimated by discussing the VACFs of trajectory projected to the primary and non-primary directions.Cell migration plays an essential role in a wide variety of physiological and pathological processes. In this paper we numerically discuss the properties of an anisotropic persistent random walk （APRW） model, in which two different and independent persistent times are assumed for cell migrations in the x-and y-axis directions. An intrinsic orthogonal coordinates with the primary and non-primary directions can be defined for each migration trajectory based on the singular vector decomposition method. Our simulation results show that the decay time of single exponential distribution of velocity auto-correlation function （VACF） in the primary direction is actually the large persistent time of the APRW model, and the small decay time of double exponential VACF in the non-primary direction equals the small persistent time of the APRW model. Thus, we propose that the two persistent times of anisotropic migration of cells can be properly estimated by discussing the VACFs of trajectory projected to the primary and non-primary directions.

关 键 词：cell migration random walk Langevin equation cancer 

分 类 号：Q25[生物学—细胞生物学]