Document Detail


Coalescence of interacting cell populations.
MedLine Citation:
PMID:  17467009     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We analyse the coalescence of invasive cell populations by studying both the temporal and steady behaviour of a system of coupled reaction-diffusion equations. This problem is relevant to recent experimental observations of the dynamics of opposingly directed invasion waves of cells. Two cell types, u and v, are considered with the cell motility governed by linear or nonlinear diffusion. The cells proliferate logistically so that the long-term total cell density, u+v approaches a carrying capacity. The steady-state solutions for u and v are denoted u(s) and v(s). The steady solutions are spatially invariant and satisfy u(s)+v(s)=1. However, this expression is underdetermined so the relative proportion of each cell type u(s) and v(s) cannot be determined a priori. Various properties of this model are studied, such as how the relative proportion of u(s) and v(s) depends on the relative motility and relative proliferation rates. The model is analysed using a combination of numerical simulations and a comparison principle. This investigation unearths some novel outcomes regarding the role of overcrowding and cell death in this type of cell migration assay. These observations have relevance to experimental design and interpretation regarding the identification and parameterisation of mechanisms involved in cell invasion.
Authors:
Matthew J Simpson; Kerry A Landman; Kaushik Bhaganagarapu
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-03-14
Journal Detail:
Title:  Journal of theoretical biology     Volume:  247     ISSN:  0022-5193     ISO Abbreviation:  J. Theor. Biol.     Publication Date:  2007 Aug 
Date Detail:
Created Date:  2007-06-25     Completed Date:  2007-08-13     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  0376342     Medline TA:  J Theor Biol     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  525-43     Citation Subset:  IM    
Affiliation:
Department of Mathematics and Statistics, University of Melbourne, Vic. 3010, Australia. m.simpson@ms.unimelb.edu.au
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Cell Aggregation
Cell Communication / physiology
Cell Division / physiology
Cell Movement / physiology
Cell Physiological Phenomena*
Humans
Models, Biological

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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