ArticleInterface focus2016
Prediction of traction forces of motile cells.
Article in Interface focus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Discrete mechanical model of lamellipodial actin network implements molecular clutch mechanism and generates arcs and microspikes.PLoS computational biology · 2021Article
- Bridging from single to collective cell migration: A review of models and links to experiments.PLoS computational biology · 2020Review
- The bioenergetics of integrin-based adhesion, from single molecule dynamics to stability of macromolecular complexes.Computational and structural biotechnology journal · 2020Review
- From energy to cellular forces in the Cellular Potts Model: An algorithmic approach.PLoS computational biology · 2019Article
- Steps in Mechanotransduction Pathways that Control Cell Morphology.Annual review of physiology · 2019Review
- Geometry can provide long-range mechanical guidance for embryogenesis.PLoS computational biology · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When crawling on a flat substrate, living cells exert forces on it via adhesive contacts, enabling them to build up tension within their cytoskeleton and to change shape. The measurement of these forces has been made possible by traction force microscopy (TFM), a technique which has allowed us to obtain time-resolved traction force maps during cell migration. This cell 'footprint' is, however, not sufficient to understand the details of the mechanics of migration, that is how cytoskeletal elements (respectively, adhesion complexes) are put under tension and reinforce or deform (respectively, mature and/or unbind) as a result. In a recent paper, we have validated a rheological model of actomyosin linking tension, deformation and myosin activity. Here, we complement this model with tentative models of the mechanics of adhesion and explore how closely these models can predict the traction forces that we recover from experimental measurements during cell migration. The resulting mathematical problem is a PDE set on the experimentally observed domain, which we solve using a finite-element approach. The four parameters of the model can then be adjusted by comparison with experimental results on a single frame of an experiment, and then used to test the predictive power of the model for following frames and other experiments. It is found that the basic pattern of traction forces is robustly predicted by the model and fixed parameters as a function of current geometry only.
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