Literature DB >> 23358606

Branching and capping determine the force-velocity relationships of branching actin networks.

Daniel B Smith1, Jian Liu.   

Abstract

A branching actin network is the major engine that drives cell motility. A measure of the effectiveness of an engine is the velocity the engine is able to produce at a given resistance-the force-velocity relationship. Concave force-velocity relationships consist of a force-insensitive region, indicative of an adaptive response. In contrast, convex force-velocity relationships would reflect a passive response. Even in in vitro experiments, branching actin networks can exhibit both concave and convex force-velocity curves. However, the exact mechanism that can explain both force-velocity curves is not yet known. We carried out an agent-based stochastic simulation to explore such a mechanism. We discovered an emergent behavior of a branching actin network: Upon resistance, it remodels itself by increasing the number of filaments growing in contact with the load. The remodeling is favored by branching events and limited by capping. The force-velocity relationship hinges on the relative time-scale between the intrinsic kinetics of the branching actin network and the loading. Shortly after encountering resistance (∼seconds), the force-velocity relationship of the actin network is always convex, as it does not have enough time to remodel itself. A concave force-velocity relationship requires network remodeling at longer time-scales (∼tens of seconds to minutes) and the faster branching event relative to capping. Furthermore, our model explains the observed hysteresis in the force-velocity relationship of actin networks. Our model thus establishes a unified mechanism that can account for both convex and concave force-velocity relationships observed in branching actin networks.

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Year:  2013        PMID: 23358606      PMCID: PMC3584351          DOI: 10.1088/1478-3975/10/1/016004

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  44 in total

1.  The actin-based nanomachine at the leading edge of migrating cells.

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Journal:  Biophys J       Date:  1999-09       Impact factor: 4.033

2.  Forces generated during actin-based propulsion: a direct measurement by micromanipulation.

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Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-12       Impact factor: 11.205

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Journal:  J Math Biol       Date:  2008-05-07       Impact factor: 2.259

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Authors: 
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8.  The Arp2/3 complex nucleates actin filament branches from the sides of pre-existing filaments.

Authors:  K J Amann; T D Pollard
Journal:  Nat Cell Biol       Date:  2001-03       Impact factor: 28.824

9.  N-WASP generates a buzz at membranes on the move.

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Journal:  Cell       Date:  2007-03-09       Impact factor: 41.582

10.  Direct measurement of the lamellipodial protrusive force in a migrating cell.

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Journal:  J Cell Biol       Date:  2006-09-11       Impact factor: 10.539

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  3 in total

Review 1.  Mathematical modeling of eukaryotic cell migration: insights beyond experiments.

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Journal:  Annu Rev Cell Dev Biol       Date:  2013-07-24       Impact factor: 13.827

2.  A mechanism with severing near barbed ends and annealing explains structure and dynamics of dendritic actin networks.

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Authors:  Ruizhe Wang; A E Carlsson
Journal:  New J Phys       Date:  2014-11-01       Impact factor: 3.729

  3 in total

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