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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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. |
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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 |
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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. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Li, Shao-Heng Gao, Huajian Xu, Guang-Kui |
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Article |
author |
Li, Shao-Heng Gao, Huajian Xu, Guang-Kui |
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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 |
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2022 |
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https://hdl.handle.net/10356/163726 |
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1800916131622420480 |