Author:
Barua Arnab,Nava-Sedeño Josue M.,Meyer-Hermann Michael,Hatzikirou Haralampos
Abstract
AbstractCollective migration is commonly observed in groups of migrating cells, in the form of swarms or aggregates. Mechanistic models have proven very useful in understanding collective cell migration. Such models, either explicitly consider the forces involved in the interaction and movement of individuals or phenomenologically define rules which mimic the observed behavior of cells. However, mechanisms leading to collective migration are varied and specific to the type of cells involved. Additionally, the precise and complete dynamics of many important chemomechanical factors influencing cell movement, from signalling pathways to substrate sensing, are typically either too complex or largely unknown. The question is how to make quantitative/qualitative predictions of collective behavior without exact mechanistic knowledge. Here we propose the least microenvironmental uncertainty principle (LEUP) that may serve as a generative model of collective migration without precise incorporation of full mechanistic details. Using statistical physics tools, we show that the famous Vicsek model is a special case of LEUP. Finally, to test the biological applicability of our theory, we apply LEUP to construct a model of the collective behavior of spherical Serratia marcescens bacteria, where the underlying migration mechanisms remain elusive.
Funder
HZI Graduate school
DAAD-CONACYT-Regierungsstipendien
ROCKET
Reduced Complexity Models
MulticellML
Bundesministerium für Bildung und Forschung
SYSMIFTA
Volkswagen Foundation
MicMode-I2T
SYSIMIT
Projekt DEAL
Publisher
Springer Science and Business Media LLC
Cited by
8 articles.
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