ArticleProceedings of the National Academy of Sciences of the United States of America2000
A model for individual and collective cell movement in Dictyostelium discoideum.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
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Who cites it
69 citing papers in PubMed.
- Emergent collective behavior of cohesive, aligning particles.The European physical journal. E, Soft matter · 2025Article
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- The first embryo, the origin of cancer and animal phylogeny. II. The neoplastic process as an evolutionary engine.Journal of biosciences · 2024Article
- Differential cell motion: A mathematical model of anterior posterior sorting.Biophysical journal · 2023Article
- Free and Interfacial Boundaries in Individual-Based Models of Multicellular Biological systems.Bulletin of mathematical biology · 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
- Aggregative cycles evolve as a solution to conflicts in social investment.PLoS computational biology · 2021Article
- Bridging from single to collective cell migration: A review of models and links to experiments.PLoS computational biology · 2020Review
- Mathematical models for cell migration: a non-local perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Review
- Self-organization in brain tumors: How cell morphology and cell density influence glioma pattern formation.PLoS computational biology · 2020Article
- Eco-evolutionary significance of "loners".PLoS biology · 2020Article
- Multiscale phenomena and patterns in biological systems: special issue in honour of Hans Othmer.Journal of mathematical biology · 2020Article
- Experimental and modeling study of the formation of cell aggregates with differential substrate adhesion.PloS one · 2020Article
- The Use of Diffusion Calculations and Monte Carlo Simulations to Understand the Behavior of Cells inComputational and structural biotechnology journal · 2019Review
- Algorithm for a particle-based growth model for plant tissues.Royal Society open science · 2018Article
- Epithelial vertex models with active biochemical regulation of contractility can explain organized collective cell motility.APL bioengineering · 2018Article
- A critical-like collective state leads to long-range cell communication in Dictyostelium discoideum aggregation.PLoS biology · 2017Article
- Physical models of collective cell motility: from cell to tissue.Journal of physics D: Applied physics · 2017Article
9 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
The cellular slime mold Dictyostelium discoideum is a widely used model system for studying a variety of basic processes in development, including cell-cell signaling, signal transduction, pattern formation, cell motility, and the movement of tissue-like aggregates of cells. Many aspects of cell motion are poorly understood, including how individual cell behavior produces the collective motion of cells observed within the mound and slug. Herein, we describe a biologically realistic model for motile D. discoideum cells that can generate active forces, that interact via surface molecules, and that can detect and respond to chemotactic signals. We model the cells as deformable viscoelastic ellipsoids and incorporate signal transduction and cell-cell signaling by using a previously developed model. The shape constraint restricts the admissible deformations but makes the simulation of a large number of interacting cells feasible. Because the model is based on known processes, the parameters can be estimated or measured experimentally. We show that this model can reproduce the observations on the chemotactic behavior of single cells, streaming during aggregation, and the collective motion of an aggregate of cells driven by a small group of pacemakers. The model predicts that the motion of two-dimensional slugs [Bonner, J. T. (1998) Proc. Natl. Acad. Sci. USA 95, 9355-9359] results from the same behaviors that are exhibited by individual cells; it is not necessary to invoke different mechanisms or behaviors. Our computational experiments also suggest previously uncharacterized phenomena that may be experimentally observable.
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