ArticlePLoS computational biology2015
Discrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular Components.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Understanding the interplay between extracellular matrix topology and tumor-immune interactions: Challenges and opportunities.Oncotarget · 2024Review
- Modeling the extracellular matrix in cell migration and morphogenesis: a guide for the curious biologist.Frontiers in cell and developmental biology · 2024Review
- High-resolution medical image reconstruction based on residual neural network for diagnosis of cerebral aneurysm.Frontiers in cardiovascular medicine · 2022Article
- Simulation enabled search for explanatory mechanisms of the fracture healing process.PLoS computational biology · 2018Article
- Colonoscopy procedure simulation: virtual reality training based on a real time computational approach.Biomedical engineering online · 2018Article
- Multi-scale computational study of the mechanical regulation of cell mitotic rounding in epithelia.PLoS computational biology · 2017Article
- Physical models of collective cell motility: from cell to tissue.Journal of physics D: Applied physics · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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