2019
1
Bridging the gap between single-cell migration and collective dynamics Open access
Florian Thüroff*; Andriy Goychuk*; Matthias Reiter; Erwin Frey
* Equal contribution
In: eLife, vol. 8, pp. e46842, 2019, ISSN: 2050-084X.
Cell MigrationCell PolarizationCellular Potts ModelCollective DynamicsSimulationWound Healing
@article{thuroff_bridging_2019,
title = {Bridging the gap between single-cell migration and collective dynamics},
author = {Florian Thüroff and Andriy Goychuk and Matthias Reiter and Erwin Frey},
doi = {10.7554/eLife.46842},
issn = {2050-084X},
year = {2019},
date = {2019-12-01},
urldate = {2019-12-01},
journal = {eLife},
volume = {8},
pages = {e46842},
abstract = {Motivated by the wealth of experimental data recently available, we present a cellular-automaton-based modeling framework focussing on high-level cell functions and their concerted effect on cellular migration patterns. Specifically, we formulate a coarse-grained description of cell polarity through self-regulated actin organization and its response to mechanical cues. Furthermore, we address the impact of cell adhesion on collective migration in cell cohorts. The model faithfully reproduces typical cell shapes and movements down to the level of single cells, yet allows for the efficient simulation of confluent tissues. In confined circular geometries, we find that specific properties of individual cells (polarizability; contractility) influence the emerging collective motion of small cell cohorts. Finally, we study the properties of expanding cellular monolayers (front morphology; stress and velocity distributions) at the level of extended tissues.},
keywords = {Cell Migration, Cell Polarization, Cellular Potts Model, Collective Dynamics, Simulation, Wound Healing},
pubstate = {published},
tppubtype = {article}
}
Motivated by the wealth of experimental data recently available, we present a cellular-automaton-based modeling framework focussing on high-level cell functions and their concerted effect on cellular migration patterns. Specifically, we formulate a coarse-grained description of cell polarity through self-regulated actin organization and its response to mechanical cues. Furthermore, we address the impact of cell adhesion on collective migration in cell cohorts. The model faithfully reproduces typical cell shapes and movements down to the level of single cells, yet allows for the efficient simulation of confluent tissues. In confined circular geometries, we find that specific properties of individual cells (polarizability; contractility) influence the emerging collective motion of small cell cohorts. Finally, we study the properties of expanding cellular monolayers (front morphology; stress and velocity distributions) at the level of extended tissues.