A rigid body framework for multicellular modeling.

Autor: Brown PJ; School of Mathematical Sciences, University of Adelaide, Adelaide, South Australia, Australia. phillip.j.brown@pm.me., Green JEF; School of Mathematical Sciences, University of Adelaide, Adelaide, South Australia, Australia. edward.green@adelaide.edu.au., Binder BJ; School of Mathematical Sciences, University of Adelaide, Adelaide, South Australia, Australia. benjamin.binder@adelaide.edu.au., Osborne JM; School of Mathematics and Statistics, University of Melbourne, Melbourne, Victoria, Australia. jmosborne@unimelb.edu.au.
Jazyk: angličtina
Zdroj: Nature computational science [Nat Comput Sci] 2021 Nov; Vol. 1 (11), pp. 754-766. Date of Electronic Publication: 2021 Nov 25.
DOI: 10.1038/s43588-021-00154-4
Abstrakt: 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.
(© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.)
Databáze: MEDLINE
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