Literature DB >> 14604585

Modelling the movement of interacting cell populations.

Kevin J Painter1, Jonathan A Sherratt.   

Abstract

Mathematical modelling of cell movement has traditionally focussed on a single population of cells, often moving in response to various chemical and environmental cues. In this paper, we consider models for movement in two or more interacting cell populations. We begin by discussing intuitive ideas underlying the extension of models for a single-cell population to two interacting populations. We then consider more formal model development using transition probability methods, and we discuss how the same equations can be obtained as the limiting form of a velocity-jump process. We illustrate the models we have developed via two examples. The first of these is a generic model for competing cell populations, and the second concerns aggregation in cell populations moving in response to chemical gradients.

Mesh:

Year:  2003        PMID: 14604585     DOI: 10.1016/s0022-5193(03)00258-3

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  16 in total

1.  Bridging the gap between individual-based and continuum models of growing cell populations.

Authors:  Mark A J Chaplain; Tommaso Lorenzi; Fiona R Macfarlane
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2.  Kinetic models with non-local sensing determining cell polarization and speed according to independent cues.

Authors:  Nadia Loy; Luigi Preziosi
Journal:  J Math Biol       Date:  2019-08-02       Impact factor: 2.259

3.  A free boundary mechanobiological model of epithelial tissues.

Authors:  Tamara A Tambyah; Ryan J Murphy; Pascal R Buenzli; Matthew J Simpson
Journal:  Proc Math Phys Eng Sci       Date:  2020-11-18       Impact factor: 2.704

4.  Competitive exclusion in a two-species chemotaxis model.

Authors:  C Stinner; J I Tello; M Winkler
Journal:  J Math Biol       Date:  2013-05-01       Impact factor: 2.259

5.  Combined experimental and mathematical approach for development of microfabrication-based cancer migration assay.

Authors:  Saheli Sarkar; Bethany L Bustard; Jean F Welter; Harihara Baskaran
Journal:  Ann Biomed Eng       Date:  2011-06-24       Impact factor: 3.934

6.  Revisiting the Fisher-Kolmogorov-Petrovsky-Piskunov equation to interpret the spreading-extinction dichotomy.

Authors:  Maud El-Hachem; Scott W McCue; Wang Jin; Yihong Du; Matthew J Simpson
Journal:  Proc Math Phys Eng Sci       Date:  2019-09-04       Impact factor: 2.704

7.  From a discrete model of chemotaxis with volume-filling to a generalized Patlak-Keller-Segel model.

Authors:  Federica Bubba; Tommaso Lorenzi; Fiona R Macfarlane
Journal:  Proc Math Phys Eng Sci       Date:  2020-05-13       Impact factor: 2.704

8.  Multi-dimensional, mesoscopic Monte Carlo simulations of inhomogeneous reaction-drift-diffusion systems on graphics-processing units.

Authors:  Matthias Vigelius; Bernd Meyer
Journal:  PLoS One       Date:  2012-04-10       Impact factor: 3.240

9.  Modelling locust foraging: How and why food affects group formation.

Authors:  Fillipe Georgiou; Jerome Buhl; J E F Green; Bishnu Lamichhane; Ngamta Thamwattana
Journal:  PLoS Comput Biol       Date:  2021-07-07       Impact factor: 4.475

10.  Computational modeling of microabscess formation.

Authors:  Alexandre Bittencourt Pigozzo; Gilson Costa Macedo; Rodrigo Weber dos Santos; Marcelo Lobosco
Journal:  Comput Math Methods Med       Date:  2012-11-08       Impact factor: 2.238

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