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A free boundary model of epithelial dynamics

Abstract:
In this work we analyse a one-dimensional, cell-based model of an epithelial sheet. In the model, cells interact with their nearest neighbouring cells and move deterministically. Cells also proliferate stochastically, with the rate of proliferation specified as a function of the cell length. This mechanical model of cell dynamics gives rise to a free boundary problem. We construct a corresponding continuum-limit description where the variables in the continuum limit description are expanded in powers of the small parameter 1/N, where N is the number of cells in the population. By carefully constructing the continuum limit description we obtain a free boundary partial differential equation description governing the density of the cells within the evolving domain, as well as a free boundary condition that governs the evolution of the domain. We show that care must be taken to arrive at a free boundary condition that conserves mass. By comparing averaged realisations of the cell-based model with the numerical solution of the free boundary partial differential equation, we show that the new mass-conserving boundary condition enables the coarse-grained partial differential equation model to provide very accurate predictions of the behaviour of the cell-based model, including both evolution of the cell density, and the position of the free boundary, across a range of interaction potentials and proliferation functions in the cell based model.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jtbi.2018.12.025

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Oxford college:
St Hugh's College
Role:
Author
ORCID:
0000-0002-6304-9333
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Role:
Author


Publisher:
Elsevier
Journal:
Journal of Theoretical Biology More from this journal
Volume:
481
Pages:
61-74
Publication date:
2018-12-19
Acceptance date:
2018-12-18
DOI:
EISSN:
1095-8541
ISSN:
0022-5193
Pmid:
30576691


Language:
English
Keywords:
Pubs id:
pubs:954924
UUID:
uuid:146a7d4e-f0fa-44ca-ac23-c11dcefbd60b
Local pid:
pubs:954924
Source identifiers:
954924
Deposit date:
2019-01-25
ARK identifier:

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