BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.

Collective dynamics in multicellular systems such as biological organs and tissues plays a key role in biological development, regeneration, and pathological conditions. Collective tissue dynamics-understood as population behaviour arising from the interplay of the constituting discrete cells-can be...

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Autores principales:	Andreas Deutsch, Josué Manik Nava-Sedeño, Simon Syga, Haralampos Hatzikirou
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/f1e9b8806d994749a25deb4de8c2e8af
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spelling	oai:doaj.org-article:f1e9b8806d994749a25deb4de8c2e8af2021-11-25T05:40:36ZBIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.1553-734X1553-735810.1371/journal.pcbi.1009066https://doaj.org/article/f1e9b8806d994749a25deb4de8c2e8af2021-06-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009066https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Collective dynamics in multicellular systems such as biological organs and tissues plays a key role in biological development, regeneration, and pathological conditions. Collective tissue dynamics-understood as population behaviour arising from the interplay of the constituting discrete cells-can be studied with on- and off-lattice agent-based models. However, classical on-lattice agent-based models, also known as cellular automata, fail to replicate key aspects of collective migration, which is a central instance of collective behaviour in multicellular systems. To overcome drawbacks of classical on-lattice models, we introduce an on-lattice, agent-based modelling class for collective cell migration, which we call biological lattice-gas cellular automaton (BIO-LGCA). The BIO-LGCA is characterised by synchronous time updates, and the explicit consideration of individual cell velocities. While rules in classical cellular automata are typically chosen ad hoc, rules for cell-cell and cell-environment interactions in the BIO-LGCA can also be derived from experimental cell migration data or biophysical laws for individual cell migration. We introduce elementary BIO-LGCA models of fundamental cell interactions, which may be combined in a modular fashion to model complex multicellular phenomena. We exemplify the mathematical mean-field analysis of specific BIO-LGCA models, which allows to explain collective behaviour. The first example predicts the formation of clusters in adhesively interacting cells. The second example is based on a novel BIO-LGCA combining adhesive interactions and alignment. For this model, our analysis clarifies the nature of the recently discovered invasion plasticity of breast cancer cells in heterogeneous environments.Andreas DeutschJosué Manik Nava-SedeñoSimon SygaHaralampos HatzikirouPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 6, p e1009066 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Andreas Deutsch Josué Manik Nava-Sedeño Simon Syga Haralampos Hatzikirou BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.
description	Collective dynamics in multicellular systems such as biological organs and tissues plays a key role in biological development, regeneration, and pathological conditions. Collective tissue dynamics-understood as population behaviour arising from the interplay of the constituting discrete cells-can be studied with on- and off-lattice agent-based models. However, classical on-lattice agent-based models, also known as cellular automata, fail to replicate key aspects of collective migration, which is a central instance of collective behaviour in multicellular systems. To overcome drawbacks of classical on-lattice models, we introduce an on-lattice, agent-based modelling class for collective cell migration, which we call biological lattice-gas cellular automaton (BIO-LGCA). The BIO-LGCA is characterised by synchronous time updates, and the explicit consideration of individual cell velocities. While rules in classical cellular automata are typically chosen ad hoc, rules for cell-cell and cell-environment interactions in the BIO-LGCA can also be derived from experimental cell migration data or biophysical laws for individual cell migration. We introduce elementary BIO-LGCA models of fundamental cell interactions, which may be combined in a modular fashion to model complex multicellular phenomena. We exemplify the mathematical mean-field analysis of specific BIO-LGCA models, which allows to explain collective behaviour. The first example predicts the formation of clusters in adhesively interacting cells. The second example is based on a novel BIO-LGCA combining adhesive interactions and alignment. For this model, our analysis clarifies the nature of the recently discovered invasion plasticity of breast cancer cells in heterogeneous environments.
format	article
author	Andreas Deutsch Josué Manik Nava-Sedeño Simon Syga Haralampos Hatzikirou
author_facet	Andreas Deutsch Josué Manik Nava-Sedeño Simon Syga Haralampos Hatzikirou
author_sort	Andreas Deutsch
title	BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.
title_short	BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.
title_full	BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.
title_fullStr	BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.
title_full_unstemmed	BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.
title_sort	bio-lgca: a cellular automaton modelling class for analysing collective cell migration.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/f1e9b8806d994749a25deb4de8c2e8af
work_keys_str_mv	AT andreasdeutsch biolgcaacellularautomatonmodellingclassforanalysingcollectivecellmigration AT josuemaniknavasedeno biolgcaacellularautomatonmodellingclassforanalysingcollectivecellmigration AT simonsyga biolgcaacellularautomatonmodellingclassforanalysingcollectivecellmigration AT haralamposhatzikirou biolgcaacellularautomatonmodellingclassforanalysingcollectivecellmigration
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BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.

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