Prediction of traction forces of motile cells.

Interface Focus

Laboratoire interdisciplinaire de physique (LIPHY), University Grenoble Alpes, 38000 Grenoble, France; Laboratoire interdisciplinaire de physique (LIPHY), CNRS, 38000 Grenoble, France.

Published: October 2016

AI Article Synopsis

  • Living cells exert forces on their surfaces through adhesive contacts, enabling shape changes and tension build-up in their cytoskeleton during migration.
  • Traction force microscopy (TFM) allows us to visualize these forces, but understanding the detailed mechanics of migration requires complementary rheological models that link cytoskeletal tension and myosin activity.
  • By solving a PDE using a finite-element approach, the study explores how well these models can predict traction forces in cell migration, confirming that the model's parameters can consistently explain observed force patterns based on cell geometry.

Article 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992744PMC
http://dx.doi.org/10.1098/rsfs.2016.0042DOI Listing

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