Literature DB >> 843984

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

A Boyarsky, P B Noble.   

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.

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Year:  1977        PMID: 843984     DOI: 10.1139/y77-001

Source DB:  PubMed          Journal:  Can J Physiol Pharmacol        ISSN: 0008-4212            Impact factor:   2.273


  3 in total

1.  The fundamental motor of the human neutrophil is not random: evidence for local non-Markov movement in neutrophils.

Authors:  R S Hartman; K Lau; W Chou; T D Coates
Journal:  Biophys J       Date:  1994-12       Impact factor: 4.033

2.  Pattern prediction for moving cells.

Authors:  A Boyarsky
Journal:  J Math Biol       Date:  1977-02-28       Impact factor: 2.259

3.  Biased random walk models for chemotaxis and related diffusion approximations.

Authors:  W Alt
Journal:  J Math Biol       Date:  1980-04       Impact factor: 2.259

  3 in total

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