Literature DB >> 22463258

Classifying general nonlinear force laws in cell-based models via the continuum limit.

Philip J Murray1, Carina M Edwards, Marcus J Tindall, Philip K Maini.   

Abstract

Although discrete cell-based frameworks are now commonly used to simulate a whole range of biological phenomena, it is typically not obvious how the numerous different types of model are related to one another, nor which one is most appropriate in a given context. Here we demonstrate how individual cell movement on the discrete scale modeled using nonlinear force laws can be described by nonlinear diffusion coefficients on the continuum scale. A general relationship between nonlinear force laws and their respective diffusion coefficients is derived in one spatial dimension and, subsequently, a range of particular examples is considered. For each case excellent agreement is observed between numerical solutions of the discrete and corresponding continuum models. Three case studies are considered in which we demonstrate how the derived nonlinear diffusion coefficients can be used to (a) relate different discrete models of cell behavior; (b) derive discrete, intercell force laws from previously posed diffusion coefficients, and (c) describe aggregative behavior in discrete simulations.
© 2012 American Physical Society

Mesh:

Year:  2012        PMID: 22463258     DOI: 10.1103/PhysRevE.85.021921

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  7 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
Journal:  J Math Biol       Date:  2019-06-10       Impact factor: 2.259

2.  A one-dimensional individual-based mechanical model of cell movement in heterogeneous tissues and its coarse-grained approximation.

Authors:  R J Murphy; P R Buenzli; R E Baker; M J Simpson
Journal:  Proc Math Phys Eng Sci       Date:  2019-07-24       Impact factor: 2.704

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.  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

5.  A free boundary model of epithelial dynamics.

Authors:  Ruth E Baker; Andrew Parker; Matthew J Simpson
Journal:  J Theor Biol       Date:  2018-12-19       Impact factor: 2.691

6.  Hierarchical modeling of mechano-chemical dynamics of epithelial sheets across cells and tissue.

Authors:  Yoshifumi Asakura; Yohei Kondo; Kazuhiro Aoki; Honda Naoki
Journal:  Sci Rep       Date:  2021-02-18       Impact factor: 4.379

7.  Derivation of continuum models from discrete models of mechanical forces in cell populations.

Authors:  Per Lötstedt
Journal:  J Math Biol       Date:  2021-12-08       Impact factor: 2.259

  7 in total

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