ArticleProceedings of the National Academy of Sciences of the United States of America2021
Learning the dynamics of cell-cell interactions in confined cell migration.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 81 citations in OpenAlex.
- Sarcomere dynamic instability and stochastic heterogeneity drive robust cardiomyocyte contraction.eLife · 2026Article
- Actin based cell chirality emerging at the boundary of 2D-microtissue directs chiral multicellular pattern formation.Nature communications · 2026Article
- Predicting mosquito flight behavior using Bayesian dynamical systems learning.Science advances · 2026Article
- Single-Target Pairing System (StarPair) for Large-Scale Interrogation of Cell-Cell Interactions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Modeling of viscous frictional force in multicellular morphogenesis.Biophysics and physicobiology · 2026Article
- Nonlinear memory in cell-division dynamics across species.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Physics-tailored machine learning reveals unexpected physics in dusty plasmas.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Fast yet force-effective mode of supracellular collective cell migration due to extracellular force transmission.PLoS computational biology · 2025Article
- Article
- Learning collective cell migratory dynamics from a static snapshot with graph neural networks.ArXiv · 2024Article
- How cytoskeletal crosstalk makes cells move: Bridging cell-free and cell studies.Biophysics reviews · 2024Review
- Limits on the accuracy of contact inhibition of locomotion.Physical review. E · 2024Article
- An entropy-based approach for assessing the directional persistence of cell migration.Biophysical journal · 2024Article
- Morphological entropy encodes cellular migration strategies on multiple length scales.NPJ systems biology and applications · 2024Article
- Article
- Optimal mechanical interactions direct multicellular network formation on elastic substrates.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Role of NaInternational journal of molecular sciences · 2023Article
- Quantitative videomicroscopy reveals latent control of cell-pair rotations in vivo.Development (Cambridge, England) · 2023Article
- Curvature induces active velocity waves in rotating spherical tissues.Nature communications · 2023Article
- MorphoSim: an efficient and scalable phase-field framework for accurately simulating multicellular morphologies.NPJ systems biology and applications · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The migratory dynamics of cells in physiological processes, ranging from wound healing to cancer metastasis, rely on contact-mediated cell-cell interactions. These interactions play a key role in shaping the stochastic trajectories of migrating cells. While data-driven physical formalisms for the stochastic migration dynamics of single cells have been developed, such a framework for the behavioral dynamics of interacting cells still remains elusive. Here, we monitor stochastic cell trajectories in a minimal experimental cell collider: a dumbbell-shaped micropattern on which pairs of cells perform repeated cellular collisions. We observe different characteristic behaviors, including cells reversing, following, and sliding past each other upon collision. Capitalizing on this large experimental dataset of coupled cell trajectories, we infer an interacting stochastic equation of motion that accurately predicts the observed interaction behaviors. Our approach reveals that interacting noncancerous MCF10A cells can be described by repulsion and friction interactions. In contrast, cancerous MDA-MB-231 cells exhibit attraction and antifriction interactions, promoting the predominant relative sliding behavior observed for these cells. Based on these experimentally inferred interactions, we show how this framework may generalize to provide a unifying theoretical description of the diverse cellular interaction behaviors of distinct cell types.
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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.