Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163726
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dc.contributor.authorLi, Shao-Hengen_US
dc.contributor.authorGao, Huajianen_US
dc.contributor.authorXu, Guang-Kuien_US
dc.date.accessioned2022-12-15T03:26:55Z-
dc.date.available2022-12-15T03:26:55Z-
dc.date.issued2022-
dc.identifier.citationLi, 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.2022.09.035en_US
dc.identifier.issn0006-3495en_US
dc.identifier.urihttps://hdl.handle.net/10356/163726-
dc.description.abstractLiving 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.en_US
dc.description.sponsorshipAgency for Science, Technology and Research (A*STAR)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relation002479-00001en_US
dc.relation.ispartofBiophysical Journalen_US
dc.rights© 2022 Biophysical Society. All rights reserved.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleNetwork dynamics of the nonlinear power-law relaxation of cell cortexen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.organizationInstitute of High Performance Computing, A*STARen_US
dc.identifier.doi10.1016/j.bpj.2022.09.035-
dc.identifier.pmid36171727-
dc.identifier.scopus2-s2.0-85139734066-
dc.identifier.issue21en_US
dc.identifier.volume121en_US
dc.identifier.spage4091en_US
dc.identifier.epage4098en_US
dc.subject.keywordsMechanical-Propertiesen_US
dc.subject.keywordsActin-Filamenten_US
dc.description.acknowledgementG.-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).en_US
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