ArticleBiophysical journal2023
Polarization and motility of one-dimensional multi-cellular trains.
Article in Biophysical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 13 citations in OpenAlex.
- A Microfabricated Branch Selection Platform for Quantitative Measurement of Leader-Follower Interaction Strength and Interaction Range in Collective Cell Migration.Micromachines · 2026Article
- Emergence of multiple collective motility modes in a physical model of cell chains.NPJ systems biology and applications · 2025Article
- Geometrical constraint change determines organized collective migration of follower cells.Scientific reports · 2025Article
- Model supports asymmetric regulation across the intercellular junction for collective cell polarization.PLoS computational biology · 2024Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Collective cell migration, whereby cells adhere to form multi-cellular clusters that move as a single entity, play an important role in numerous biological processes, such as during development and cancer progression. Recent experimental work focused on migration of one-dimensional cellular clusters, confined to move along adhesive lanes, as a simple geometry in which to systematically study this complex system. One-dimensional migration also arises in the body when cells migrate along blood vessels, axonal projections, and narrow cavities between tissues. We explore here the modes of one-dimensional migration of cellular clusters ("trains") by implementing cell-cell interactions in a model of cell migration that contains a mechanism for spontaneous cell polarization. We go beyond simple phenomenological models of the cells as self-propelled particles by having the internal polarization of each cell depend on its interactions with the neighboring cells that directly affect the actin polymerization activity at the cell's leading edges. Both contact inhibition of locomotion and cryptic lamellipodia interactions between neighboring cells are introduced. We find that this model predicts multiple motility modes of the cell trains, which can have several different speeds for the same polarization pattern. Compared to experimental data, we find that Madin-Darby canine kidney cells are poised along the transition region where contact inhibition of locomotion and cryptic lamellipodia roughly balance each other, where collective migration speed is most sensitive to the values of the cell-cell interaction strength.
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Registered trials
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