ArticleBiophysical journal1991
Mathematical model for the effects of adhesion and mechanics on cell migration speed.
Article in Biophysical journal, 1991. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 231 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
231 citing papers in PubMed, 616 citations in OpenAlex.
- Glioblastoma Subtypes Exhibit Distinct Migration Mechanics and Immune Responses.Cancer research communications · 2026Article
- A scalable high-throughput platform for the discovery of intracellular and extracellular regulators of platelet migration.Blood advances · 2026Article
- Neuromechanobiology: Bridging Mechanobiology and Neuroscience Through Evidence and Open Questions.Cells · 2026Review
- Nonlinear Stability in a Free Boundary Model of Active Locomotion.Archive for rational mechanics and analysis · 2026Article
- RAC2 orchestrates immune cell actin remodeling and migration.Frontiers in immunology · 2026Review
- Contractile forces direct the chiral swirling of minimal cell collectives.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Effect of Extracellular Matrix Derived from Porcine Tissue on Stemness of Porcine Spermatogonial Stem Cells.International journal of molecular sciences · 2025Article
- Uridine phosphorylase-1 supports metastasis by altering immune and extracellular matrix landscapes.EMBO reports · 2025Article
- Time, the final frontier.Molecular oncology · 2025Article
- Regulation of cell migration by extracellular matrix mechanics at a glance.Journal of cell science · 2025Review
- A Benzodiazepine-Derived Molecule That Interferes with the Bio-Mechanical Properties of Glioblastoma-Astrocytoma Cells Altering Their Proliferation and Migration.International journal of molecular sciences · 2025Article
- Humanized anti-CD11d monoclonal antibodies suitable for basic research and therapeutic applications.Antibody therapeutics · 2025Article
- A Multicellular Mechanochemical Model to Investigate Tumor Microenvironment Remodeling and Pre-Metastatic Niche Formation.Cellular and molecular bioengineering · 2024Article
- Mutual antagonism between CD44 and integrins in glioblastoma cell traction and migration.APL bioengineering · 2024Article
- Use of iPSC-Derived Smooth Muscle Cells to Model Physiology and Pathology.Arteriosclerosis, thrombosis, and vascular biology · 2024Review
- Maximum likelihood phylogeographic inference of cell motility and cell division from spatial lineage tracing data.Bioinformatics (Oxford, England) · 2024Article
- A simple active fluid model unites cytokinesis, cell crawling, and axonal outgrowth.bioRxiv : the preprint server for biology · 2024Article
- Glioblastoma Cells Use an Integrin- and CD44-Mediated Motor-Clutch Mode of Migration in Brain Tissue.Cellular and molecular bioengineering · 2024Article
- Mesenchymal cell migration on one-dimensional micropatterns.Frontiers in cell and developmental biology · 2024Review
- A simple active fluid model unites cytokinesis, cell crawling, and axonal outgrowth.Frontiers in cell and developmental biology · 2024Article
171 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Migration of mammalian blood and tissue cells over adhesive surfaces is apparently mediated by specific reversible reactions between cell membrane adhesion receptors and complementary ligands attached to the substratum. Although in a number of systems these receptors and ligand molecules have been isolated and identified, a theory capable of predicting the effects of their properties on cell migration behavior currently does not exist. We present a simple mathematical model for elucidating the dependence of cell speed on adhesion-receptor/ligand binding and cell mechanical properties. Our model can be applied to propose answers to questions such as: does an optimal adhesiveness exist for cell movement? How might changes in receptor and ligand density and/or affinity affect the rate of migration? Can cell rheological properties influence movement speed? This model incorporates cytoskeletal force generation, cell polarization, and dynamic adhesion as requirements for persistent cell movement. A critical feature is the proposed existence of an asymmetry in some cell adhesion-receptor property, correlated with cell polarity. We consider two major alternative mechanisms underlying this asymmetry: (a) a spatial distribution of adhesion-receptor number due to polarized endocytic trafficking and (b) a spatial variation in adhesion-receptor/ligand bond strength. Applying a viscoelastic-solid model for cell mechanics allows us to represent one-dimensional locomotion with a system of differential equations describing cell deformation and displacement along with adhesion-receptor dynamics. In this paper, we solve these equations under the simplifying assumption that receptor dynamics are at a quasi-steady state relative to cell locomotion. Thus, our results are strictly valid for sufficiently slow cell movement, as typically observed for tissue cells such as fibroblasts. Numerical examples relevant to experimental systems are provided. Our results predict how cell speed might vary with intracellular contractile force, cell rheology, receptor/ligand kinetics, and receptor/ligand number densities. A biphasic dependence is shown to be possible with respect to some of the system parameters, with position of the maxima essentially governed by a balance between transmitted contractile force and adhesiveness. We demonstrate that predictions for the two alternative asymmetry mechanisms can be distinguished and could be experimentally tested using cell populations possessing different adhesion-receptor numbers.
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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.