ArticlePLoS computational biology2009
Cortical factor feedback model for cellular locomotion and cytofission.
Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 46 citations in OpenAlex.
- Excitable Ras dynamics-based screens reveal RasGEFX is required for macropinocytosis and random cell migration.Nature communications · 2025Article
- Spontaneous signal generation by an excitable system for cell migration.Frontiers in cell and developmental biology · 2024Review
- Mechanochemical subcellular-element model of crawling cells.Frontiers in cell and developmental biology · 2022Article
- Spontaneous transitions between amoeboid and keratocyte-like modes of migration.Frontiers in cell and developmental biology · 2022Article
- Deletion of gmfA induces keratocyte-like migration in Dictyostelium.FEBS open bio · 2022Article
- Tools for computational analysis of moving boundary problems in cellular mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- A minimal computational model for three-dimensional cell migration.Journal of the Royal Society, Interface · 2019Article
- Article
- Crawling and Gliding: A Computational Model for Shape-Driven Cell Migration.PLoS computational biology · 2015Article
- Traveling waves in actin dynamics and cell motility.Current opinion in cell biology · 2013Review
- Continuum modeling and numerical simulation of cell motility.Journal of mathematical biology · 2012Article
- Redundant mechanisms for stable cell locomotion revealed by minimal models.Biophysical journal · 2011Article
- Mechanisms of Cell Propulsion by Active Stresses.New journal of physics · 2011Article
- Activated membrane patches guide chemotactic cell motility.PLoS computational biology · 2011Article
- From molecular signal activation to locomotion: an integrated, multiscale analysis of cell motility on defined matrices.PloS one · 2011Article
- "Self-assisted" amoeboid navigation in complex environments.PloS one · 2011Article
- Zigzag turning preference of freely crawling cells.PloS one · 2011Article
- Cytopede: a three-dimensional tool for modeling cell motility on a flat surface.Journal of computational biology : a journal of computational molecular cell biology · 2010Article
- Modeling of protrusion phenotypes driven by the actin-membrane interaction.Biophysical journal · 2010Article
- Form and function in cell motility: from fibroblasts to keratocytes.Biophysical journal · 2010Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Eukaryotic cells can move spontaneously without being guided by external cues. For such spontaneous movements, a variety of different modes have been observed, including the amoeboid-like locomotion with protrusion of multiple pseudopods, the keratocyte-like locomotion with a widely spread lamellipodium, cell division with two daughter cells crawling in opposite directions, and fragmentations of a cell to multiple pieces. Mutagenesis studies have revealed that cells exhibit these modes depending on which genes are deficient, suggesting that seemingly different modes are the manifestation of a common mechanism to regulate cell motion. In this paper, we propose a hypothesis that the positive feedback mechanism working through the inhomogeneous distribution of regulatory proteins underlies this variety of cell locomotion and cytofission. In this hypothesis, a set of regulatory proteins, which we call cortical factors, suppress actin polymerization. These suppressing factors are diluted at the extending front and accumulated at the retracting rear of cell, which establishes a cellular polarity and enhances the cell motility, leading to the further accumulation of cortical factors at the rear. Stochastic simulation of cell movement shows that the positive feedback mechanism of cortical factors stabilizes or destabilizes modes of movement and determines the cell migration pattern. The model predicts that the pattern is selected by changing the rate of formation of the actin-filament network or the threshold to initiate the network formation.
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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.