Network dynamics of the nonlinear power-law relaxation of cell cortex

Living cells are known to exhibit universal power-law rheological behaviors, but their underlying biomechanical principles are still not fully understood. Here, we present a network dynamics picture to decipher the nonlinear power-law relaxation of cortical cytoskeleton. Under step strains, we prese...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Li, Shao-Heng, Gao, Huajian, Xu, Guang-Kui
مؤلفون آخرون: School of Mechanical and Aerospace Engineering
التنسيق: مقال
اللغة:English
منشور في: 2022
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الوصول للمادة أونلاين:https://hdl.handle.net/10356/163726
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المؤسسة: Nanyang Technological University
اللغة: English
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spelling sg-ntu-dr.10356-1637262024-04-09T02:30:24Z Network dynamics of the nonlinear power-law relaxation of cell cortex Li, Shao-Heng Gao, Huajian Xu, Guang-Kui School of Mechanical and Aerospace Engineering Institute of High Performance Computing, A*STAR Engineering::Mechanical engineering Mechanical-Properties Actin-Filament Living cells are known to exhibit universal power-law rheological behaviors, but their underlying biomechanical principles are still not fully understood. Here, we present a network dynamics picture to decipher the nonlinear power-law relaxation of cortical cytoskeleton. Under step strains, we present a scaling relation between instantaneous differential stiffness and external stress as a result of chain reorientation. Then, during the relaxation, we show how the scaling law theoretically originates from an exponential form of cortical disorder, with the scaling exponent decreased by the imposed strain or crosslinker density in the nonlinear regime. We attribute this exponent variation to the molecular realignment along the stretch direction or the transition of network structure from in-series to in-parallel modes, both solidifying the network toward our one-dimensional theoretical limit. In addition, the rebinding of crosslinkers is found to be crucial for moderating the relaxation speed under small strains. Together with the disorder nature, we demonstrate that the structural effects of networks provide a unified interpretation for the nonlinear power-law relaxation of cell cortex, and may help to understand cell mechanics from the molecular scale. Agency for Science, Technology and Research (A*STAR) Nanyang Technological University G.-K.X. acknowledges the National Natural Science Foundation of China (grant nos. 12122210 and 12072252), and H.G. acknowledges a research start-up grant (002479-00001) from Nanyang Technological University and the Agency for Science, Technology and Research (A* STAR). 2022-12-15T03:26:55Z 2022-12-15T03:26:55Z 2022 Journal Article Li, S., Gao, H. & Xu, G. (2022). Network dynamics of the nonlinear power-law relaxation of cell cortex. Biophysical Journal, 121(21), 4091-4098. https://dx.doi.org/10.1016/j.bpj.2022.09.035 0006-3495 https://hdl.handle.net/10356/163726 10.1016/j.bpj.2022.09.035 36171727 2-s2.0-85139734066 21 121 4091 4098 en 002479-00001 Biophysical Journal © 2022 Biophysical Society. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Mechanical-Properties
Actin-Filament
spellingShingle Engineering::Mechanical engineering
Mechanical-Properties
Actin-Filament
Li, Shao-Heng
Gao, Huajian
Xu, Guang-Kui
Network dynamics of the nonlinear power-law relaxation of cell cortex
description Living cells are known to exhibit universal power-law rheological behaviors, but their underlying biomechanical principles are still not fully understood. Here, we present a network dynamics picture to decipher the nonlinear power-law relaxation of cortical cytoskeleton. Under step strains, we present a scaling relation between instantaneous differential stiffness and external stress as a result of chain reorientation. Then, during the relaxation, we show how the scaling law theoretically originates from an exponential form of cortical disorder, with the scaling exponent decreased by the imposed strain or crosslinker density in the nonlinear regime. We attribute this exponent variation to the molecular realignment along the stretch direction or the transition of network structure from in-series to in-parallel modes, both solidifying the network toward our one-dimensional theoretical limit. In addition, the rebinding of crosslinkers is found to be crucial for moderating the relaxation speed under small strains. Together with the disorder nature, we demonstrate that the structural effects of networks provide a unified interpretation for the nonlinear power-law relaxation of cell cortex, and may help to understand cell mechanics from the molecular scale.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Li, Shao-Heng
Gao, Huajian
Xu, Guang-Kui
format Article
author Li, Shao-Heng
Gao, Huajian
Xu, Guang-Kui
author_sort Li, Shao-Heng
title Network dynamics of the nonlinear power-law relaxation of cell cortex
title_short Network dynamics of the nonlinear power-law relaxation of cell cortex
title_full Network dynamics of the nonlinear power-law relaxation of cell cortex
title_fullStr Network dynamics of the nonlinear power-law relaxation of cell cortex
title_full_unstemmed Network dynamics of the nonlinear power-law relaxation of cell cortex
title_sort network dynamics of the nonlinear power-law relaxation of cell cortex
publishDate 2022
url https://hdl.handle.net/10356/163726
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