Literature DB >> 19862577

From microscopic to macroscopic descriptions of cell migration on growing domains.

Ruth E Baker1, Christian A Yates, Radek Erban.   

Abstract

Cell migration and growth are essential components of the development of multicellular organisms. The role of various cues in directing cell migration is widespread, in particular, the role of signals in the environment in the control of cell motility and directional guidance. In many cases, especially in developmental biology, growth of the domain also plays a large role in the distribution of cells and, in some cases, cell or signal distribution may actually drive domain growth. There is an almost ubiquitous use of partial differential equations (PDEs) for modelling the time evolution of cellular density and environmental cues. In the last 20 years, a lot of attention has been devoted to connecting macroscopic PDEs with more detailed microscopic models of cellular motility, including models of directional sensing and signal transduction pathways. However, domain growth is largely omitted in the literature. In this paper, individual-based models describing cell movement and domain growth are studied, and correspondence with a macroscopic-level PDE describing the evolution of cell density is demonstrated. The individual-based models are formulated in terms of random walkers on a lattice. Domain growth provides an extra mathematical challenge by making the lattice size variable over time. A reaction-diffusion master equation formalism is generalised to the case of growing lattices and used in the derivation of the macroscopic PDEs.

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Year:  2009        PMID: 19862577     DOI: 10.1007/s11538-009-9467-x

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  18 in total

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Journal:  Physica D       Date:  2013-10-01       Impact factor: 2.300

2.  The pseudo-compartment method for coupling partial differential equation and compartment-based models of diffusion.

Authors:  Christian A Yates; Mark B Flegg
Journal:  J R Soc Interface       Date:  2015-05-06       Impact factor: 4.118

3.  Modeling Selective Local Interactions with Memory: Motion on a 2D Lattice.

Authors:  Daniel Weinberg; Doron Levy
Journal:  Physica D       Date:  2014-06-15       Impact factor: 2.300

4.  Incorporating domain growth into hybrid methods for reaction-diffusion systems.

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Journal:  J R Soc Interface       Date:  2021-04-14       Impact factor: 4.118

5.  Exact Solutions of Coupled Multispecies Linear Reaction-Diffusion Equations on a Uniformly Growing Domain.

Authors:  Matthew J Simpson; Jesse A Sharp; Liam C Morrow; Ruth E Baker
Journal:  PLoS One       Date:  2015-09-25       Impact factor: 3.240

6.  A mathematical model for eph/ephrin-directed segregation of intermingled cells.

Authors:  Rotem Aharon; Peter W Janes; Anthony W Burgess; Kais Hamza; Fima Klebaner; Martin Lackmann
Journal:  PLoS One       Date:  2014-12-01       Impact factor: 3.240

7.  Exact solutions of linear reaction-diffusion processes on a uniformly growing domain: criteria for successful colonization.

Authors:  Matthew J Simpson
Journal:  PLoS One       Date:  2015-02-18       Impact factor: 3.240

8.  A framework for discrete stochastic simulation on 3D moving boundary domains.

Authors:  Brian Drawert; Stefan Hellander; Michael Trogdon; Tau-Mu Yi; Linda Petzold
Journal:  J Chem Phys       Date:  2016-11-14       Impact factor: 3.488

9.  A mathematical model of adult subventricular neurogenesis.

Authors:  J M A Ashbourn; J J Miller; V Reumers; V Baekelandt; L Geris
Journal:  J R Soc Interface       Date:  2012-05-09       Impact factor: 4.118

10.  Simulating Stochastic Reaction-Diffusion Systems on and within Moving Boundaries.

Authors:  Atiyo Ghosh; Tatiana T Marquez-Lago
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

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