Force percolation of contractile active gels

José Alvarado, Michael Sheinman, Abhinav Sharma, Fred C. MacKintosh, Gijsje H. Koenderink*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Living systems provide a paradigmatic example of active soft matter. Cells and tissues comprise viscoelastic materials that exert forces and can actively change shape. This strikingly autonomous behavior is powered by the cytoskeleton, an active gel of semiflexible filaments, crosslinks, and molecular motors inside cells. Although individual motors are only a few nm in size and exert minute forces of a few pN, cells spatially integrate the activity of an ensemble of motors to produce larger contractile forces (∼nN and greater) on cellular, tissue, and organismal length scales. Here we review experimental and theoretical studies on contractile active gels composed of actin filaments and myosin motors. Unlike other active soft matter systems, which tend to form ordered patterns, actin-myosin systems exhibit a generic tendency to contract. Experimental studies of reconstituted actin-myosin model systems have long suggested that a mechanical interplay between motor activity and the network's connectivity governs this contractile behavior. Recent theoretical models indicate that this interplay can be understood in terms of percolation models, extended to include effects of motor activity on the network connectivity. Based on concepts from percolation theory, we propose a state diagram that unites a large body of experimental observations. This framework provides valuable insights into the mechanisms that drive cellular shape changes and also provides design principles for synthetic active materials.

Original languageEnglish
Pages (from-to)5624-5644
Number of pages21
JournalSoft Matter
Volume13
Issue number34
DOIs
Publication statusPublished - 2017

Funding

This work is part of the research programme of the Netherlands Organisation for Scientific Research (NWO). G. K. acknowledges support from a Starting Grant from the European Research Council under the European Union’s Seventh Framework Programme (FP/2007–2013)/ERC Grant Agreement no. [335672]. J. A. acknowledges support from the U. S. Army Research Laboratory and the U. S. Army Research Office under grant number W911NF-14-1-0396, as well as the National Science Foundation under Grant No. NSF PHY11-25915. F. C. M. was supported in part by the National Science Foundation (Grant PHY-1427654). We furthermore thank Shiladitya Banerjee, Chiu Fan Lee, Gunnar Pruessner, Margaret Gardel, Martin Lenz, Michael Murrell, Thibaut Divoux, and Stephan Grill for insightful comments and discussions.

FundersFunder number
U. S. Army Research Laboratory
U. S. Army Research OfficeW911NF-14-1-0396
National Science FoundationPHY-1427654
European Research Council
Seventh Framework ProgrammeFP/2007–2013

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