Modelling collective cell motion: are on- and off-lattice models equivalent?

Author:

Nava-Sedeño Josué Manik1ORCID,Voß-Böhme Anja12,Hatzikirou Haralampos3,Deutsch Andreas1ORCID,Peruani Fernando4ORCID

Affiliation:

1. Technische Universität Dresden, Center for Information Services and High Performance Computing, Nöthnitzer Straße 46, 01062 Dresden, Germany

2. Fakultät Informatik/Mathematik, Hochschule für Technik und Wirtschaft, Dresden, Germany

3. Department of Systems Immunology and Braunschweig Integrated Center of Systems Biology, Helmholtz Center for Infection Research, Inhoffenstraße 7, 38124 Braunschweig, Germany

4. Laboratoire J. A. Dieudonné, Université Côte d'Azur, UMR 7351 CNRS, Parc Valrose, 06108 Nice Cedex 02, France

Abstract

Biological processes, such as embryonic development, wound repair and cancer invasion, or bacterial swarming and fruiting body formation, involve collective motion of cells as a coordinated group. Collective cell motion of eukaryotic cells often includes interactions that result in polar alignment of cell velocities, while bacterial patterns typically show features of apolar velocity alignment. For analysing the population-scale effects of these different alignment mechanisms, various on- and off-lattice agent-based models have been introduced. However, discriminating model-specific artefacts from general features of collective cell motion is challenging. In this work, we focus on equivalence criteria at the population level to compare on- and off-lattice models. In particular, we define prototypic off- and on-lattice models of polar and apolar alignment, and show how to obtain an on-lattice from an off-lattice model of velocity alignment. By characterizing the behaviour and dynamical description of collective migration models at the macroscopic level, we suggest the type of phase transitions and possible patterns in the approximative macroscopic partial differential equation descriptions as informative equivalence criteria between on- and off-lattice models. This article is part of the theme issue ‘Multi-scale analysis and modelling of collective migration in biological systems’.

Funder

MicMode-I2T

SYSIMIT

Initiative and Networking Fund for the project on Reduced Complexity Models

ROCKET

SYSMIFTA

MulticellML

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

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