Literature DB >> 23147230

A semi-stochastic cell-based model for in vitro infected 'wound' healing through motility reduction: a simulation study.

F J Vermolen1, A Gefen.   

Abstract

We consider the migration and viability of individual cells in bacterial-infected cell colonies. Cell movement is assumed to take place as a result of sensing the strain energy density as a mechanical stimulus. The model is based on tracking the motion and viability of each individual cell in a cell colony, and the formalism was published in an earlier paper. The present innovations are an application to a simulation of a 'wound healing assay' in which bacteria infect the wound through impairing the motility of cells and an extension with effects from inertia. Though based on simple principles, the model is based on experiments on living fibroblasts on a flat substrate.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 23147230     DOI: 10.1016/j.jtbi.2012.11.007

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


  3 in total

1.  Stochastic Simulation of Pattern Formation in Growing Tissue: A Multilevel Approach.

Authors:  Stefan Engblom
Journal:  Bull Math Biol       Date:  2018-06-20       Impact factor: 1.758

2.  A model for cell migration in non-isotropic fibrin networks with an application to pancreatic tumor islets.

Authors:  Jiao Chen; Daphne Weihs; Fred J Vermolen
Journal:  Biomech Model Mechanobiol       Date:  2017-10-09

3.  Scalable population-level modelling of biological cells incorporating mechanics and kinetics in continuous time.

Authors:  Stefan Engblom; Daniel B Wilson; Ruth E Baker
Journal:  R Soc Open Sci       Date:  2018-08-01       Impact factor: 2.963

  3 in total

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