ArticleMultiscale modeling & simulation : a SIAM interdisciplinary journal2011
A computational model of cell polarization and motility coupling mechanics and biochemistry.
Article in Multiscale modeling & simulation : a SIAM interdisciplinary journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Article
- Sensing the shape of a cell with reaction diffusion and energy minimization.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Forced and spontaneous symmetry breaking in cell polarization.Nature computational science · 2022Article
- Modern perspectives on near-equilibrium analysis of Turing systems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Review
- Spots, stripes, and spiral waves in models for static and motile cells : GTPase patterns in cells.Journal of mathematical biology · 2021Article
- Tools for computational analysis of moving boundary problems in cellular mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Bridging from single to collective cell migration: A review of models and links to experiments.PLoS computational biology · 2020Review
- Membrane Tension Can Enhance Adaptation to Maintain Polarity of Migrating Cells.Biophysical journal · 2020Article
- Simple Rho GTPase Dynamics Generate a Complex Regulatory Landscape Associated with Cell Shape.Biophysical journal · 2020Article
- From energy to cellular forces in the Cellular Potts Model: An algorithmic approach.PLoS computational biology · 2019Article
- Persistent random deformation model of cells crawling on a gel surface.Scientific reports · 2018Article
- A free-boundary model of a motile cell explains turning behavior.PLoS computational biology · 2017Article
- Crawling and turning in a minimal reaction-diffusion cell motility model: Coupling cell shape and biochemistry.Physical review. E · 2017Article
- Modelling of Yeast Mating Reveals Robustness Strategies for Cell-Cell Interactions.PLoS computational biology · 2016Article
- Effects of 3D geometries on cellular gradient sensing and polarization.Physical biology · 2016Article
- Single-Cell Migration in Complex Microenvironments: Mechanics and Signaling Dynamics.Journal of biomechanical engineering · 2016Review
- Modeling the Mechanosensitivity of Neutrophils Passing through a Narrow Channel.Biophysical journal · 2015Article
- Signaling networks and cell motility: a computational approach using a phase field description.Journal of mathematical biology · 2014Article
- Interaction of motility, directional sensing, and polarity modules recreates the behaviors of chemotaxing cells.PLoS computational biology · 2013Article
- Signaling regulated endocytosis and exocytosis lead to mating pheromone concentration dependent morphologies in yeast.FEBS letters · 2012Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The motion of a eukaryotic cell presents a variety of interesting and challenging problems from both a modeling and a computational perspective. The processes span many spatial scales (from molecular to tissue) as well as disparate time scales, with reaction kinetics on the order of seconds, and the deformation and motion of the cell occurring on the order of minutes. The computational difficulty, even in 2D, resides in the fact that the problem is inherently one of deforming, non-stationary domains, bounded by an elastic perimeter, inside of which there is redistribution of biochemical signaling substances. Here we report the results of a computational scheme using the immersed boundary method to address this problem. We adopt a simple reaction-diffusion system that represents an internal regulatory mechanism controlling the polarization of a cell, and determining the strength of protrusion forces at the front of its elastic perimeter. Using this computational scheme we are able to study the effect of protrusive and elastic forces on cell shapes on their own, the distribution of the reaction-diffusion system in irregular domains on its own, and the coupled mechanical-chemical system. We find that this representation of cell crawling can recover important aspects of the spontaneous polarization and motion of certain types of crawling cells.
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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.