ArticleBiophysical journal2012
Self-organized cell motility from motor-filament interactions.
Article in Biophysical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 27 citations in OpenAlex.
- Nonlinear Stability in a Free Boundary Model of Active Locomotion.Archive for rational mechanics and analysis · 2026Article
- Methylation and transcriptomic profiling reveals short term and long term regulatory responses in polarized macrophages.Computational and structural biotechnology journal · 2024Article
- The Influence of Nucleus Mechanics in Modelling Adhesion-independent Cell Migration in Structured and Confined Environments.Bulletin of mathematical biology · 2023Article
- A free-boundary model of a motile cell explains turning behavior.PLoS computational biology · 2017Article
- On a poroviscoelastic model for cell crawling.Journal of mathematical biology · 2015Article
- Rear actomyosin contractility-driven directional cell migration in three-dimensional matrices: a mechano-chemical coupling mechanism.Journal of the Royal Society, Interface · 2014Review
- Effects of adhesion dynamics and substrate compliance on the shape and motility of crawling cells.PloS one · 2013Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell motility is driven primarily by the dynamics of the cell cytoskeleton, a system of filamentous proteins and molecular motors. It has been proposed that cell motility is a self-organized process, that is, local short-range interactions determine much of the dynamics that are required for the whole-cell organization that leads to polarization and directional motion. Here we present a mesoscopic mean-field description of filaments, motors, and cell boundaries. This description gives rise to a dynamical system that exhibits multiple self-organized states. We discuss several qualitative aspects of the asymptotic states and compare them with those of living 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.