ArticlePLoS computational biology2016
Modeling Contact Inhibition of Locomotion of Colliding Cells Migrating on Micropatterned Substrates.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 52 citations in OpenAlex.
- Confinement, Jamming, and Adhesion in Cancer Cells Dissociating from a Collectively Invading Strand.PRX life · 2025Article
- Limits on the accuracy of contact inhibition of locomotion.Physical review. E · 2024Article
- Generation of a Virtual Cell using a Phase Field Approach to Model Amoeboid Crawling.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Polarization and motility of one-dimensional multi-cellular trains.Biophysical journal · 2023Article
- Migration and division in cell monolayers on substrates with topological defects.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- MorphoSim: an efficient and scalable phase-field framework for accurately simulating multicellular morphologies.NPJ systems biology and applications · 2023Article
- Picking winners in cell-cell collisions: Wetting, speed, and contact.Physical review. E · 2022Article
- Spontaneous transitions between amoeboid and keratocyte-like modes of migration.Frontiers in cell and developmental biology · 2022Article
- Neighbor-enhanced diffusivity in dense, cohesive cell populations.PLoS computational biology · 2021Article
- The mechanics and dynamics of cancer cells sensing noisy 3D contact guidance.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Learning the dynamics of cell-cell interactions in confined cell migration.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Tools for computational analysis of moving boundary problems in cellular mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Bridging from single to collective cell migration: A review of models and links to experiments.PLoS computational biology · 2020Review
- Modelling chase-and-run migration in heterogeneous populations.Journal of mathematical biology · 2020Article
- A minimal computational model for three-dimensional cell migration.Journal of the Royal Society, Interface · 2019Article
- Coordination of cell migration mediated by site-dependent cell-cell contact.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Modeling random crawling, membrane deformation and intracellular polarity of motile amoeboid cells.PloS one · 2018Article
- Mechanisms of Cell Polarization.Current opinion in systems biology · 2017Article
- Physical models of collective cell motility: from cell to tissue.Journal of physics D: Applied physics · 2017Article
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Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
In cancer metastasis, embryonic development, and wound healing, cells can coordinate their motion, leading to collective motility. To characterize these cell-cell interactions, which include contact inhibition of locomotion (CIL), micropatterned substrates are often used to restrict cell migration to linear, quasi-one-dimensional paths. In these assays, collisions between polarized cells occur frequently with only a few possible outcomes, such as cells reversing direction, sticking to one another, or walking past one another. Using a computational phase field model of collective cell motility that includes the mechanics of cell shape and a minimal chemical model for CIL, we are able to reproduce all cases seen in two-cell collisions. A subtle balance between the internal cell polarization, CIL and cell-cell adhesion governs the collision outcome. We identify the parameters that control transitions between the different cases, including cell-cell adhesion, propulsion strength, and the rates of CIL. These parameters suggest hypotheses for why different cell types have different collision behavior and the effect of interventions that modulate collision outcomes. To reproduce the heterogeneity in cell-cell collision outcomes observed experimentally in neural crest cells, we must either carefully tune our parameters or assume that there is significant cell-to-cell variation in key parameters like cell-cell adhesion.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.