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https://hdl.handle.net/2440/135374
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Type: | Journal article |
Title: | A rigid body framework for multicellular modeling |
Author: | Brown, P.J. Green, J.E.F. Binder, B.J. Osborne, J.M. |
Citation: | Nature Computational Science, 2021; 1(11):754-766 |
Publisher: | Springer Science and Business Media LLC |
Issue Date: | 2021 |
ISSN: | 2662-8457 2662-8457 |
Statement of Responsibility: | Phillip J. Brown, J. Edward F. Green, Benjamin J. Binder, James M. Osborne |
Abstract: | Off-lattice models are a well-established approach in multicellular modeling, where cells are represented as points that are free to move in space. The representation of cells as point objects is useful in a wide range of settings, particularly when large populations are involved; however, a purely point-based representation is not naturally equipped to deal with objects that have length, such as cell boundaries or external membranes. Here we introduce an off-lattice modeling framework that exploits rigid body mechanics to represent objects using a collection of conjoined one-dimensional edges in a viscosity-dominated system. This framework can be used to represent cells as free moving polygons, to allow epithelial layers to smoothly interact with themselves, to model rod-shaped cells such as bacteria and to robustly represent membranes. We demonstrate that this approach offers solutions to the problems that limit the scope of current off-lattice multicellular models. |
Rights: | © The Author(s), under exclusive licence to Springer Nature America, Inc. 2021 |
DOI: | 10.1038/s43588-021-00154-4 |
Grant ID: | http://purl.org/au-research/grants/arc/DP160102644 |
Published version: | https://www.springer.com/gp |
Appears in Collections: | Mathematical Sciences publications |
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