ReviewPLoS computational biology2012
A comparison of computational models for eukaryotic cell shape and motility.
Review in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
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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
44 citing papers in PubMed.
- Diversity in emergent cell locomotion from the coupling cytosolic and cortical Marangoni flows with reaction-diffusion dynamics.PLoS computational biology · 2026Article
- Multiscale modelling shows how cell-ECM interactions impact ECM fibre alignment and cell detachment.PLoS computational biology · 2025Article
- Equations describing semi-confluent cell growth (II) colony formation on a flat surface.European biophysics journal : EBJ · 2025Article
- Cooperative short- and long-range interactions enable robust symmetry breaking and axis formation.bioRxiv : the preprint server for biology · 2025Article
- Analysis of the spatio-temporal dynamics of a Rho-GEF-H1-myosin activator-inhibitor reaction-diffusion system.Royal Society open science · 2025Article
- Generative modeling of biological shapes and images using a probabilisticbioRxiv : the preprint server for biology · 2024Article
- Three-component contour dynamics model to simulate and analyze amoeboid cell motility in two dimensions.PloS one · 2024Article
- The Influence of Nucleus Mechanics in Modelling Adhesion-independent Cell Migration in Structured and Confined Environments.Bulletin of mathematical biology · 2023Article
- Adhesion strength and contractility enable metastatic cells to become adurotactic.Cell reports · 2021Article
- Towards understanding the messengers of extracellular space: Computational models of outside-in integrin reaction networks.Computational and structural biotechnology journal · 2021Review
- Two Complementary Signaling Pathways Depict Eukaryotic Chemotaxis: A Mechanochemical Coupling Model.Frontiers in cell and developmental biology · 2021Article
- Membrane Tension Can Enhance Adaptation to Maintain Polarity of Migrating Cells.Biophysical journal · 2020Article
- Stick-slip model for actin-driven cell protrusions, cell polarization, and crawling.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Article
- Tuning Cell Motility via Cell Tension with a Mechanochemical Cell Migration Model.Biophysical journal · 2020Article
- Simple Rho GTPase Dynamics Generate a Complex Regulatory Landscape Associated with Cell Shape.Biophysical journal · 2020Article
- A mechanical toy model linking cell-substrate adhesion to multiple cellular migratory responses.Journal of biological physics · 2019Article
- Theoretical Models of Neural Development.iScience · 2018Review
- Computational modeling of single-cell mechanics and cytoskeletal mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2018Review
- Cellular mechanosensing of the biophysical microenvironment: A review of mathematical models of biophysical regulation of cell responses.Physics of life reviews · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Eukaryotic cell motility involves complex interactions of signalling molecules, cytoskeleton, cell membrane, and mechanics interacting in space and time. Collectively, these components are used by the cell to interpret and respond to external stimuli, leading to polarization, protrusion, adhesion formation, and myosin-facilitated retraction. When these processes are choreographed correctly, shape change and motility results. A wealth of experimental data have identified numerous molecular constituents involved in these processes, but the complexity of their interactions and spatial organization make this a challenging problem to understand. This has motivated theoretical and computational approaches with simplified caricatures of cell structure and behaviour, each aiming to gain better understanding of certain kinds of cells and/or repertoire of behaviour. Reaction-diffusion (RD) equations as well as equations of viscoelastic flows have been used to describe the motility machinery. In this review, we describe some of the recent computational models for cell motility, concentrating on simulations of cell shape changes (mainly in two but also three dimensions). The problem is challenging not only due to the difficulty of abstracting and simplifying biological complexity but also because computing RD or fluid flow equations in deforming regions, known as a "free-boundary" problem, is an extremely challenging problem in applied mathematics. Here we describe the distinct approaches, comparing their strengths and weaknesses, and the kinds of biological questions that they have been able to address.
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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.