Literature DB >> 21405857

Models of collective cell spreading with variable cell aspect ratio: a motivation for degenerate diffusion models.

Matthew J Simpson1, Ruth E Baker, Scott W McCue.   

Abstract

Continuum diffusion models are often used to represent the collective motion of cell populations. Most previous studies have simply used linear diffusion to represent collective cell spreading, while others found that degenerate nonlinear diffusion provides a better match to experimental cell density profiles. In the cell modeling literature there is no guidance available with regard to which approach is more appropriate for representing the spreading of cell populations. Furthermore, there is no knowledge of particular experimental measurements that can be made to distinguish between situations where these two models are appropriate. Here we provide a link between individual-based and continuum models using a multiscale approach in which we analyze the collective motion of a population of interacting agents in a generalized lattice-based exclusion process. For round agents that occupy a single lattice site, we find that the relevant continuum description of the system is a linear diffusion equation, whereas for elongated rod-shaped agents that occupy L adjacent lattice sites we find that the relevant continuum description is connected to the porous media equation (PME). The exponent in the nonlinear diffusivity function is related to the aspect ratio of the agents. Our work provides a physical connection between modeling collective cell spreading and the use of either the linear diffusion equation or the PME to represent cell density profiles. Results suggest that when using continuum models to represent cell population spreading, we should take care to account for variations in the cell aspect ratio because different aspect ratios lead to different continuum models.

Mesh:

Year:  2011        PMID: 21405857     DOI: 10.1103/PhysRevE.83.021901

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


  7 in total

1.  Quantifying the roles of cell motility and cell proliferation in a circular barrier assay.

Authors:  Matthew J Simpson; Katrina K Treloar; Benjamin J Binder; Parvathi Haridas; Kerry J Manton; David I Leavesley; D L Sean McElwain; Ruth E Baker
Journal:  J R Soc Interface       Date:  2013-02-20       Impact factor: 4.118

2.  Influence of individual cell motility on the 2D front roughness dynamics of tumour cell colonies.

Authors:  N E Muzzio; M A Pasquale; P H González; A J Arvia
Journal:  J Biol Phys       Date:  2014-06-04       Impact factor: 1.365

3.  Identifying density-dependent interactions in collective cell behaviour.

Authors:  Alexander P Browning; Wang Jin; Michael J Plank; Matthew J Simpson
Journal:  J R Soc Interface       Date:  2020-04-29       Impact factor: 4.118

4.  Interpreting how nonlinear diffusion affects the fate of bistable populations using a discrete modelling framework.

Authors:  Yifei Li; Pascal R Buenzli; Matthew J Simpson
Journal:  Proc Math Phys Eng Sci       Date:  2022-06-01       Impact factor: 3.213

5.  Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies.

Authors:  Katrina K Treloar; Matthew J Simpson; Parvathi Haridas; Kerry J Manton; David I Leavesley; D L Sean McElwain; Ruth E Baker
Journal:  BMC Syst Biol       Date:  2013-12-12

6.  A Continuum Mathematical Model of Substrate-Mediated Tissue Growth.

Authors:  Maud El-Hachem; Scott W McCue; Matthew J Simpson
Journal:  Bull Math Biol       Date:  2022-03-02       Impact factor: 1.758

7.  Modelling collective cell migration: neural crest as a model paradigm.

Authors:  Rasa Giniūnaitė; Ruth E Baker; Paul M Kulesa; Philip K Maini
Journal:  J Math Biol       Date:  2019-10-05       Impact factor: 2.259

  7 in total

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