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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4599884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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