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A Markov chain characterization of human neutrophil locomotion under neutral and chemotactic conditions.

作者信息

Boyarsky A, Noble P B

出版信息

Can J Physiol Pharmacol. 1977 Feb;55(1):1-6. doi: 10.1139/y77-001.

DOI:10.1139/y77-001
PMID:843984
Abstract

The locomotion of human neutrophils is modelled by a continuous-time Markov chain model consisting of five states: state O, where the cell is stationary, and four motile states whose directions are defined by the four quadrants of a Cartesian plane. In this paper, the Markov property is verified experimentally in special cases. Further experimental evidence for the model is provided by the waiting-time distributions in each of the five states, which are well approximated by exponential distributions. Using the steady-state distribution of the Markov chain as a measure of the ultimate motion of the cells, it is possible to detect the effect of known chemotactic agents upon neutrophil locomotion. Other useful parameters describing neutrophil locomotion are presented.

摘要

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引用本文的文献

1
The fundamental motor of the human neutrophil is not random: evidence for local non-Markov movement in neutrophils.人类中性粒细胞的基本运动并非随机:中性粒细胞局部非马尔可夫运动的证据。
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2
Biased random walk models for chemotaxis and related diffusion approximations.用于趋化作用的有偏随机游走模型及相关扩散近似
J Math Biol. 1980 Apr;9(2):147-77. doi: 10.1007/BF00275919.
3
Pattern prediction for moving cells.移动细胞的模式预测
J Math Biol. 1977 Feb 28;4(1):35-47. doi: 10.1007/BF00276351.