Discrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular Components.

This paper presents a framework for modelling biological tissues based on discrete particles. Cell components (e.g. cell membranes, cell cytoskeleton, cell nucleus) and extracellular matrix (e.g. collagen) are represented using collections of particles. Simple particle to particle interaction laws a...

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Main Authors: Bruce S Gardiner, Kelvin K L Wong, Grand R Joldes, Addison J Rich, Chin Wee Tan, Antony W Burgess, David W Smith
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-10-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC4599884?pdf=render
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spelling doaj-905d4ff472c849bd81088898c31288a42020-11-25T01:38:40ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582015-10-011110e100454410.1371/journal.pcbi.1004544Discrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular Components.Bruce S GardinerKelvin K L WongGrand R JoldesAddison J RichChin Wee TanAntony W BurgessDavid W SmithThis paper presents a framework for modelling biological tissues based on discrete particles. Cell components (e.g. cell membranes, cell cytoskeleton, cell nucleus) and extracellular matrix (e.g. collagen) are represented using collections of particles. Simple particle to particle interaction laws are used to simulate and control complex physical interaction types (e.g. cell-cell adhesion via cadherins, integrin basement membrane attachment, cytoskeletal mechanical properties). Particles may be given the capacity to change their properties and behaviours in response to changes in the cellular microenvironment (e.g., in response to cell-cell signalling or mechanical loadings). Each particle is in effect an 'agent', meaning that the agent can sense local environmental information and respond according to pre-determined or stochastic events. The behaviour of the proposed framework is exemplified through several biological problems of ongoing interest. These examples illustrate how the modelling framework allows enormous flexibility for representing the mechanical behaviour of different tissues, and we argue this is a more intuitive approach than perhaps offered by traditional continuum methods. Because of this flexibility, we believe the discrete modelling framework provides an avenue for biologists and bioengineers to explore the behaviour of tissue systems in a computational laboratory.http://europepmc.org/articles/PMC4599884?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Bruce S Gardiner
Kelvin K L Wong
Grand R Joldes
Addison J Rich
Chin Wee Tan
Antony W Burgess
David W Smith
spellingShingle Bruce S Gardiner
Kelvin K L Wong
Grand R Joldes
Addison J Rich
Chin Wee Tan
Antony W Burgess
David W Smith
Discrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular Components.
PLoS Computational Biology
author_facet Bruce S Gardiner
Kelvin K L Wong
Grand R Joldes
Addison J Rich
Chin Wee Tan
Antony W Burgess
David W Smith
author_sort Bruce S Gardiner
title Discrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular Components.
title_short Discrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular Components.
title_full Discrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular Components.
title_fullStr Discrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular Components.
title_full_unstemmed Discrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular Components.
title_sort discrete element framework for modelling extracellular matrix, deformable cells and subcellular components.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2015-10-01
description This paper presents a framework for modelling biological tissues based on discrete particles. Cell components (e.g. cell membranes, cell cytoskeleton, cell nucleus) and extracellular matrix (e.g. collagen) are represented using collections of particles. Simple particle to particle interaction laws are used to simulate and control complex physical interaction types (e.g. cell-cell adhesion via cadherins, integrin basement membrane attachment, cytoskeletal mechanical properties). Particles may be given the capacity to change their properties and behaviours in response to changes in the cellular microenvironment (e.g., in response to cell-cell signalling or mechanical loadings). Each particle is in effect an 'agent', meaning that the agent can sense local environmental information and respond according to pre-determined or stochastic events. The behaviour of the proposed framework is exemplified through several biological problems of ongoing interest. These examples illustrate how the modelling framework allows enormous flexibility for representing the mechanical behaviour of different tissues, and we argue this is a more intuitive approach than perhaps offered by traditional continuum methods. Because of this flexibility, we believe the discrete modelling framework provides an avenue for biologists and bioengineers to explore the behaviour of tissue systems in a computational laboratory.
url http://europepmc.org/articles/PMC4599884?pdf=render
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