ReviewPLoS computational biology2020
Bridging from single to collective cell migration: A review of models and links to experiments.
Review in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential.Advanced healthcare materials · 2026Review
- Clusters, fingers, and singles: A mechanical landscape of tumor invasion.PLoS computational biology · 2026Article
- Multicellular simulations with shape and volume constraints using optimal transport.Science advances · 2026Article
- A geometric-surface PDE model for cell-nucleus translocation through confinement.PLoS computational biology · 2026Article
- Leveraging experimental vasculature data for high-resolution brain tumor simulations.Biophysical journal · 2026Article
- A Microfabricated Branch Selection Platform for Quantitative Measurement of Leader-Follower Interaction Strength and Interaction Range in Collective Cell Migration.Micromachines · 2026Article
- Diversity in emergent cell locomotion from the coupling cytosolic and cortical Marangoni flows with reaction-diffusion dynamics.PLoS computational biology · 2026Article
- Tui: A Multigenerational and Expert-Correctable Tracker for Cellular Dynamics.Computational and structural biotechnology journal · 2026Article
- Collective migration modes in development, tissue repair and cancer.Nature reviews. Molecular cell biology · 2025Review
- Personalizing computational models to construct medical digital twins.Journal of the Royal Society, Interface · 2025Article
- Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025Review
- Model supports asymmetric regulation across the intercellular junction for collective cell polarization.PLoS computational biology · 2024Article
- Personalizing computational models to construct medical digital twins.bioRxiv : the preprint server for biology · 2024Article
- Linking discrete and continuous models of cell birth and migration.Royal Society open science · 2024Article
- How cytoskeletal crosstalk makes cells move: Bridging cell-free and cell studies.Biophysics reviews · 2024Review
- Graph topological transformations in space-filling cell aggregates.PLoS computational biology · 2024Article
- PIEZO1 regulates leader cell formation and cellular coordination during collective keratinocyte migration.PLoS computational biology · 2024Article
- Three-component contour dynamics model to simulate and analyze amoeboid cell motility in two dimensions.PloS one · 2024Article
- The ECM and tissue architecture are major determinants of early invasion mediated by E-cadherin dysfunction.Communications biology · 2023Article
- Quantification of basal stem cell elongation and stress fiber accumulation in the pseudostratified airway epithelium during the unjamming transition.Biology open · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematical and computational models can assist in gaining an understanding of cell behavior at many levels of organization. Here, we review models in the literature that focus on eukaryotic cell motility at 3 size scales: intracellular signaling that regulates cell shape and movement, single cell motility, and collective cell behavior from a few cells to tissues. We survey recent literature to summarize distinct computational methods (phase-field, polygonal, Cellular Potts, and spherical cells). We discuss models that bridge between levels of organization, and describe levels of detail, both biochemical and geometric, included in the models. We also highlight links between models and experiments. We find that models that span the 3 levels are still in the minority.
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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.