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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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Detalles Bibliográficos
Autores principales: Gardiner, Bruce S., Wong, Kelvin K. L., Joldes, Grand R., Rich, Addison J., Tan, Chin Wee, Burgess, Antony W., Smith, David W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599884/
https://www.ncbi.nlm.nih.gov/pubmed/26452000
http://dx.doi.org/10.1371/journal.pcbi.1004544
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author Gardiner, Bruce S.
Wong, Kelvin K. L.
Joldes, Grand R.
Rich, Addison J.
Tan, Chin Wee
Burgess, Antony W.
Smith, David W.
author_facet Gardiner, Bruce S.
Wong, Kelvin K. L.
Joldes, Grand R.
Rich, Addison J.
Tan, Chin Wee
Burgess, Antony W.
Smith, David W.
author_sort Gardiner, Bruce S.
collection PubMed
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.
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spelling pubmed-45998842015-10-20 Discrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular Components Gardiner, Bruce S. Wong, Kelvin K. L. Joldes, Grand R. Rich, Addison J. Tan, Chin Wee Burgess, Antony W. Smith, David W. PLoS Comput Biol Research Article 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. Public Library of Science 2015-10-09 /pmc/articles/PMC4599884/ /pubmed/26452000 http://dx.doi.org/10.1371/journal.pcbi.1004544 Text en © 2015 Gardiner et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Gardiner, Bruce S.
Wong, Kelvin K. L.
Joldes, Grand R.
Rich, Addison J.
Tan, Chin Wee
Burgess, Antony W.
Smith, David W.
Discrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular Components
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599884/
https://www.ncbi.nlm.nih.gov/pubmed/26452000
http://dx.doi.org/10.1371/journal.pcbi.1004544
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