Physical models of collective cell motility: from cell to tissue

Camley, Brian A.; Rappel, Wouter‐Jan

doi:10.1088/1361-6463/aa56fe

Cited by 177 publications

(159 citation statements)

References 234 publications

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“…In an attempt to capture collective dynamics in cells, a number of models based on cellular automata [13,14], vertex and Voronoi models [15][16][17][18][19], subcellular element models [20], cell dynamics based on the Potts model [21,22], and the phase field description for collective migration [23,24] have been proposed. Previous works have investigated a number of two-dimensional (2D) models in various contexts [9,16,25], including probing the dynamics in a homeostatic state where cell birth-death processes are balanced [26,27].…”

Section: Introductionmentioning

confidence: 99%

Cell Growth Rate Dictates the Onset of Glass to Fluidlike Transition and Long Time Superdiffusion in an Evolving Cell Colony

et al. 2018

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Collective migration dominates many phenomena, from cell movement in living systems to abiotic selfpropelling particles. Focusing on the early stages of tumor evolution, we enunciate the principles involved in cell dynamics and highlight their implications in understanding similar behavior in seemingly unrelated soft glassy materials and possibly chemokine-induced migration of CD8 þ T cells. We performed simulations of tumor invasion using a minimal three-dimensional model, accounting for cell elasticity and adhesive cell-cell interactions, as well as cell birth and death, to establish that cell-growth-ratedependent tumor expansion results in the emergence of distinct topological niches. Cells at the periphery move with higher velocity perpendicular to the tumor boundary, while the motion of interior cells is slower and isotropic. The mean-square displacement ΔðtÞ of cells exhibits glassy behavior at times comparable to the cell cycle time, while exhibiting superdiffusive behavior, ΔðtÞ ≈ t α (α > 1), at longer times. We derive the value of α ≈ 1.33 using a field theoretic approach based on stochastic quantization. In the process, we establish the universality of superdiffusion in a class of seemingly unrelated nonequilibrium systems. Superdiffusion at long times arises only if there is an imbalance between cell birth and death rates. Our findings for the collective migration, which also suggest that tumor evolution occurs in a polarized manner, are in quantitative agreement with in vitro experiments. Although set in the context of tumor invasion, the findings should also hold in describing the collective motion in growing cells and in active systems, where creation and annihilation of particles play a role.

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Section: Introductionmentioning

confidence: 99%

Cell Growth Rate Dictates the Onset of Glass to Fluidlike Transition and Long Time Superdiffusion in an Evolving Cell Colony

et al. 2018

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“…2. The phenomenology and modeling of collective cell migration has been recently reviewed by several papers [9, 10, 33]. …”

Section: Chemotaxis and Collective Cell Migration: The Role Of Physicsmentioning

confidence: 99%

Collective gradient sensing and chemotaxis: modeling and recent developments

Camley

2018

J. Phys.: Condens. Matter

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Cells measure a vast variety of signals, from their environment’s stiffness to chemical concentrations and gradients; physical principles strongly limit how accurately they can do this. However, when many cells work together, they can cooperate to exceed the accuracy of any single cell. In this Topical Review, I will discuss the experimental evidence showing that cells collectively sense gradients of many signal types, and the models and physical principles involved. I also propose new routes by which experiments and theory can expand our understanding of these problems.

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“…Several theoretical models have been proposed to explain the coordination between cells during collective migration 20,[22][23][24][25][26][27][28][29][30][31][32][33][34] . However, it remains elusive how the inter-and intra-cellular mechanobiology regulates the initiation and propagation of the polarization wave through a monolayer of cells.…”

Section: Introductionmentioning

confidence: 99%

Multiscale modelling of motility wave propagation in cell migration

Khataee

Neufeld

Czirók

2020

Preprint

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The collective motion of cell monolayers within a tissue is a fundamental biological process that occurs during tissue formation, wound healing, cancerous invasion, and viral infection. Experiments have shown that at the onset of migration, the motility is self-generated as a polarization wave starting from the leading edge of the monolayer and progressively propagates into the bulk. However, it is unclear how the propagation of this motility wave is influenced by cellular properties. Here, we investigate this using a computational model based on the Potts model coupled to the dynamics of intracellular polarization. The model captures the propagation of the polarization wave initiated at the leading edge and suggests that the cells cortex can regulate the migration modes: strongly contractile cells may depolarize the monolayer, whereas less contractile cells can form swirling movement. Cortical contractility is further found to limit the cells motility, which (i) decelerates the wave speed and the leading edge progression, and (ii) destabilises the leading edge into migration fingers. Together, our model describes how different cellular properties can contribute to the regulation of collective cell migration.

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Physical models of collective cell motility: from cell to tissue

Cited by 177 publications

References 234 publications

Cell Growth Rate Dictates the Onset of Glass to Fluidlike Transition and Long Time Superdiffusion in an Evolving Cell Colony

Cell Growth Rate Dictates the Onset of Glass to Fluidlike Transition and Long Time Superdiffusion in an Evolving Cell Colony

Collective gradient sensing and chemotaxis: modeling and recent developments

Multiscale modelling of motility wave propagation in cell migration

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