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Cited by 375

The DOI matches its Crossref record; 144 of the 144 references it cites were found in a registry or an index.

Physical Models of Collective Cell Migration

Open access
Alert, Ricard, Trepat, Xavier·2020·Annual Review of Condensed Matter Physics

Abstract

Collective cell migration is a key driver of embryonic development, wound healing, and some types of cancer invasion. Here, we provide a physical perspective of the mechanisms underlying collective cell migration. We begin with a catalog of the cell–cell and cell–substrate interactions that govern cell migration, which we classify into positional and orientational interactions. We then review the physical models that have been developed to explain how these interactions give rise to collective cellular movement. These models span the subcellular to the supracellular scales, and they include lattice models, phase-field models, active network models, particle models, and continuum models. For each type of model, we discuss its formulation, its limitations, and the main emergent phenomena that it has successfully explained. These phenomena include flocking and fluid–solid transitions, as well as wetting, fingering, and mechanical waves in spreading epithelial monolayers. We close by outlining remaining challenges and future directions in the physics of collective cell migration.

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Crossref · 10.1146/annurev-conmatphys-031218-013516

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Metadata

Authors
Alert, R., & Trepat, X.
Venue
Annual Review of Condensed Matter Physics
Published
2020-03-10
Volume
11
Issue
1
Pages
77-101
ISSN
  • 1947-5454 (ISSN-L)
  • 1947-5462
OpenAlex
W2945076939
Cited by
375
References
144
FWCI
3.98
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Physical Models of Collective Cell Migration. https://app.cochat.ai/papers/10.1146/annurev-conmatphys-031218-013516
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Alert, R., & Trepat, X. (2020). Physical Models of Collective Cell Migration. Annual Review of Condensed Matter Physics. https://doi.org/10.1146/annurev-conmatphys-031218-013516

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.