Literature DB >> 32713300

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

Josué Manik Nava-Sedeño1, Anja Voß-Böhme1,2, Haralampos Hatzikirou3, Andreas Deutsch1, Fernando Peruani4.   

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'.

Entities:  

Keywords:  alignment interactions; cellular automata; collective motion; off-lattice model; on-lattice model

Mesh:

Year:  2020        PMID: 32713300      PMCID: PMC7423376          DOI: 10.1098/rstb.2019.0378

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  30 in total

1.  Lattice-gas automata for the Navier-Stokes equation.

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Journal:  Phys Rev Lett       Date:  1986-04-07       Impact factor: 9.161

2.  Fluctuations and pattern formation in self-propelled particles.

Authors:  Shradha Mishra; Aparna Baskaran; M Cristina Marchetti
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-06-16

3.  Hydrodynamics of self-propelled hard rods.

Authors:  Aparna Baskaran; M Cristina Marchetti
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-01-25

4.  Traffic jams, gliders, and bands in the quest for collective motion of self-propelled particles.

Authors:  Fernando Peruani; Tobias Klauss; Andreas Deutsch; Anja Voss-Boehme
Journal:  Phys Rev Lett       Date:  2011-03-21       Impact factor: 9.161

5.  Large-Scale Patterns in a Minimal Cognitive Flocking Model: Incidental Leaders, Nematic Patterns, and Aggregates.

Authors:  Lucas Barberis; Fernando Peruani
Journal:  Phys Rev Lett       Date:  2016-12-06       Impact factor: 9.161

6.  Pattern formation in self-propelled particles with density-dependent motility.

Authors:  F D C Farrell; M C Marchetti; D Marenduzzo; J Tailleur
Journal:  Phys Rev Lett       Date:  2012-06-15       Impact factor: 9.161

7.  Nonlinear field equations for aligning self-propelled rods.

Authors:  Anton Peshkov; Igor S Aranson; Eric Bertin; Hugues Chaté; Francesco Ginelli
Journal:  Phys Rev Lett       Date:  2012-12-27       Impact factor: 9.161

8.  Mesoscale pattern formation of self-propelled rods with velocity reversal.

Authors:  Robert Großmann; Fernando Peruani; Markus Bär
Journal:  Phys Rev E       Date:  2016-11-22       Impact factor: 2.529

9.  Carcinoma-associated fibroblasts promoted tumor spheroid invasion on a microfluidic 3D co-culture device.

Authors:  Tingjiao Liu; Bingcheng Lin; Jianhua Qin
Journal:  Lab Chip       Date:  2010-04-23       Impact factor: 6.799

10.  An individual-based model for collective cancer cell migration explains speed dynamics and phenotype variability in response to growth factors.

Authors:  Damian Stichel; Alistair M Middleton; Kai Breuhahn; Franziska Matthäus; Benedikt F Müller; Sofia Depner; Ursula Klingmüller
Journal:  NPJ Syst Biol Appl       Date:  2017-03-03
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  1 in total

1.  Multi-scale analysis and modelling of collective migration in biological systems.

Authors:  Andreas Deutsch; Peter Friedl; Luigi Preziosi; Guy Theraulaz
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-07-27       Impact factor: 6.237

  1 in total

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