Literature DB >> 15261527

Reaction-diffusion models of development with state-dependent chemical diffusion coefficients.

Catharine J Roussel1, Marc R Roussel.   

Abstract

Reaction-diffusion models are widely used to model developmental processes. The great majority of current models invoke constant diffusion coefficients. However, the diffusion of metabolites or signals through tissues is frequently such that this assumption may reasonably be questioned. We consider several different physical mechanisms leading to effective diffusion coefficients in biological tissues which vary with the local conditions, including models in which juxtacrine signaling results in the diffusion of a signal in the absence of material transport. We develop a mathematical formalism for transforming local transport laws into diffusive terms. This procedure is appropriate when the typical length scale over which the concentrations change significantly is much greater than the dimensions of a cell. We review previous developmental models which considered the possibility of state-dependent diffusion coefficients. We also provide a few new motivating examples.

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Year:  2004        PMID: 15261527     DOI: 10.1016/j.pbiomolbio.2004.03.001

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  4 in total

1.  Approximate analytical time-dependent solutions to describe large-amplitude local calcium transients in the presence of buffers.

Authors:  Lidia A Mironova; Sergej L Mironov
Journal:  Biophys J       Date:  2007-09-14       Impact factor: 4.033

2.  Mechanogenetic coupling of Hydra symmetry breaking and driven Turing instability model.

Authors:  Jordi Soriano; Sten Rüdiger; Pramod Pullarkat; Albrecht Ott
Journal:  Biophys J       Date:  2009-02-18       Impact factor: 4.033

3.  Continuum limits of pattern formation in hexagonal-cell monolayers.

Authors:  R D O'Dea; J R King
Journal:  J Math Biol       Date:  2011-05-20       Impact factor: 2.259

4.  Modelling non-homogeneous stochastic reaction-diffusion systems: the case study of gemcitabine-treated non-small cell lung cancer growth.

Authors:  Paola Lecca; Daniele Morpurgo
Journal:  BMC Bioinformatics       Date:  2012-09-07       Impact factor: 3.169

  4 in total

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