Modeling Multicellular Systems Using Subcellular Elements

We introduce a model for describing the dynamics of large numbers of interacting cells. The fundamental dynamical variables in the model are subcellular elements, which interact with each other through phenomenological intra- and intercellular potentials. Advantages of the model include i) adaptive...

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Main Author: T. J. Newman
Format: Article
Language:English
Published: AIMS Press 2005-07-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2005.2.613
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author T. J. Newman
author_facet T. J. Newman
author_sort T. J. Newman
collection DOAJ
description We introduce a model for describing the dynamics of large numbers of interacting cells. The fundamental dynamical variables in the model are subcellular elements, which interact with each other through phenomenological intra- and intercellular potentials. Advantages of the model include i) adaptive cell-shape dynamics, ii) flexible accommodation of additional intracellular biology, and iii) the absence of an underlying grid. We present here a detailed description of the model, and use successive mean-field approximations to connect it to more coarse-grained approaches, such as discrete cell-based algorithms and coupled partial differential equations. We also discuss efficient algorithms for encoding the model, and give an example of a simulation of an epithelial sheet. Given the biological flexibility of the model, we propose that it can be used effectively for modeling a range of multicellular processes, such as tumor dynamics and embryogenesis.
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spelling doaj-art-384913f27c5c4ad38a3480f3aad191c32025-01-24T01:49:00ZengAIMS PressMathematical Biosciences and Engineering1551-00182005-07-012361362410.3934/mbe.2005.2.613Modeling Multicellular Systems Using Subcellular ElementsT. J. Newman0Department of Physics & Astronomy, and School of Life Sciences, Arizona State University, Tempe, AZ 85287We introduce a model for describing the dynamics of large numbers of interacting cells. The fundamental dynamical variables in the model are subcellular elements, which interact with each other through phenomenological intra- and intercellular potentials. Advantages of the model include i) adaptive cell-shape dynamics, ii) flexible accommodation of additional intracellular biology, and iii) the absence of an underlying grid. We present here a detailed description of the model, and use successive mean-field approximations to connect it to more coarse-grained approaches, such as discrete cell-based algorithms and coupled partial differential equations. We also discuss efficient algorithms for encoding the model, and give an example of a simulation of an epithelial sheet. Given the biological flexibility of the model, we propose that it can be used effectively for modeling a range of multicellular processes, such as tumor dynamics and embryogenesis.https://www.aimspress.com/article/doi/10.3934/mbe.2005.2.613tumor growthcomputersimulationembryogenesislangevin dynamics.multicellular systemsdevelopmentepithelial sheet
spellingShingle T. J. Newman
Modeling Multicellular Systems Using Subcellular Elements
Mathematical Biosciences and Engineering
tumor growth
computersimulation
embryogenesis
langevin dynamics.
multicellular systems
development
epithelial sheet
title Modeling Multicellular Systems Using Subcellular Elements
title_full Modeling Multicellular Systems Using Subcellular Elements
title_fullStr Modeling Multicellular Systems Using Subcellular Elements
title_full_unstemmed Modeling Multicellular Systems Using Subcellular Elements
title_short Modeling Multicellular Systems Using Subcellular Elements
title_sort modeling multicellular systems using subcellular elements
topic tumor growth
computersimulation
embryogenesis
langevin dynamics.
multicellular systems
development
epithelial sheet
url https://www.aimspress.com/article/doi/10.3934/mbe.2005.2.613
work_keys_str_mv AT tjnewman modelingmulticellularsystemsusingsubcellularelements