Self-organized stress patterns drive state transitions in actin cortices

Biological functions rely on ordered structures and intricately controlled collective dynamics. This order in living systems is typically established and sustained by continuous dissipation of energy. The emergence of collective patterns of motion is unique to nonequilibrium systems and is a manifes...

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Main Authors: Tan, Tzer Han, Malik-Garbi, Maya, Abu-Shah, Enas, Li, Junang, Sharma, Abhinav, MacKintosh, Fred C., Keren, Kinneret, Schmidt, Christoph F., Fakhri, Nikta
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Published: American Association for the Advancement of Science (AAAS) 2018
Online Access:http://hdl.handle.net/1721.1/118760
https://orcid.org/0000-0001-6246-882X
https://orcid.org/0000-0003-1261-7465
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author Tan, Tzer Han
Malik-Garbi, Maya
Abu-Shah, Enas
Li, Junang
Sharma, Abhinav
MacKintosh, Fred C.
Keren, Kinneret
Schmidt, Christoph F.
Fakhri, Nikta
author2 Massachusetts Institute of Technology. Department of Physics
author_facet Massachusetts Institute of Technology. Department of Physics
Tan, Tzer Han
Malik-Garbi, Maya
Abu-Shah, Enas
Li, Junang
Sharma, Abhinav
MacKintosh, Fred C.
Keren, Kinneret
Schmidt, Christoph F.
Fakhri, Nikta
author_sort Tan, Tzer Han
collection MIT
description Biological functions rely on ordered structures and intricately controlled collective dynamics. This order in living systems is typically established and sustained by continuous dissipation of energy. The emergence of collective patterns of motion is unique to nonequilibrium systems and is a manifestation of dynamic steady states. Mechanical resilience of animal cells is largely controlled by the actomyosin cortex. The cortex provides stability but is, at the same time, highly adaptable due to rapid turnover of its components. Dynamic functions involve regulated transitions between different steady states of the cortex. We find that model actomyosin cortices, constructed to maintain turnover, self-organize into distinct nonequilibrium steady states when we vary cross-link density. The feedback between actin network structure and organization of stress-generating myosin motors defines the symmetries of the dynamic steady states. A marginally cross-linked state displays divergence-free long-range flow patterns. Higher cross-link density causes structural symmetry breaking, resulting in a stationary converging flow pattern. We track the flow patterns in the model actomyosin cortices using fluorescent single-walled carbon nanotubes as novel probes. The self-organization of stress patterns we have observed in a model system can have direct implications for biological functions.
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spelling mit-1721.1/1187602022-09-30T19:14:07Z Self-organized stress patterns drive state transitions in actin cortices Tan, Tzer Han Malik-Garbi, Maya Abu-Shah, Enas Li, Junang Sharma, Abhinav MacKintosh, Fred C. Keren, Kinneret Schmidt, Christoph F. Fakhri, Nikta Massachusetts Institute of Technology. Department of Physics Tan, Tzer Han Li, Junang Fakhri, Nikta Biological functions rely on ordered structures and intricately controlled collective dynamics. This order in living systems is typically established and sustained by continuous dissipation of energy. The emergence of collective patterns of motion is unique to nonequilibrium systems and is a manifestation of dynamic steady states. Mechanical resilience of animal cells is largely controlled by the actomyosin cortex. The cortex provides stability but is, at the same time, highly adaptable due to rapid turnover of its components. Dynamic functions involve regulated transitions between different steady states of the cortex. We find that model actomyosin cortices, constructed to maintain turnover, self-organize into distinct nonequilibrium steady states when we vary cross-link density. The feedback between actin network structure and organization of stress-generating myosin motors defines the symmetries of the dynamic steady states. A marginally cross-linked state displays divergence-free long-range flow patterns. Higher cross-link density causes structural symmetry breaking, resulting in a stationary converging flow pattern. We track the flow patterns in the model actomyosin cortices using fluorescent single-walled carbon nanotubes as novel probes. The self-organization of stress patterns we have observed in a model system can have direct implications for biological functions. Alfred P. Sloan Foundation (Research Fellowship) Human Frontier Science Program (Strasbourg, France) (Career Development Award) Massachusetts Institute of Technology. Department of Physics 2018-10-25T14:07:52Z 2018-10-25T14:07:52Z 2018-06 2018-10-11T15:50:26Z Article http://purl.org/eprint/type/JournalArticle 2375-2548 http://hdl.handle.net/1721.1/118760 Tan, Tzer Han, et al. “Self-Organized Stress Patterns Drive State Transitions in Actin Cortices.” Science Advances, vol. 4, no. 6, June 2018, p. eaar2847. © 2018 the Authors https://orcid.org/0000-0001-6246-882X https://orcid.org/0000-0003-1261-7465 http://dx.doi.org/10.1126/sciadv.aar2847 Science Advances Creative Commons Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ application/pdf American Association for the Advancement of Science (AAAS) Science Advances
spellingShingle Tan, Tzer Han
Malik-Garbi, Maya
Abu-Shah, Enas
Li, Junang
Sharma, Abhinav
MacKintosh, Fred C.
Keren, Kinneret
Schmidt, Christoph F.
Fakhri, Nikta
Self-organized stress patterns drive state transitions in actin cortices
title Self-organized stress patterns drive state transitions in actin cortices
title_full Self-organized stress patterns drive state transitions in actin cortices
title_fullStr Self-organized stress patterns drive state transitions in actin cortices
title_full_unstemmed Self-organized stress patterns drive state transitions in actin cortices
title_short Self-organized stress patterns drive state transitions in actin cortices
title_sort self organized stress patterns drive state transitions in actin cortices
url http://hdl.handle.net/1721.1/118760
https://orcid.org/0000-0001-6246-882X
https://orcid.org/0000-0003-1261-7465
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