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Topological mechanism in the nonlinear power-law relaxation of cell cortex.
Li, Shao-Heng; Xu, Guang-Kui.
Affiliation
  • Li SH; Laboratory for Multiscale Mechanics and Medical Science, Department of Engineering Mechanics, State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
  • Xu GK; Laboratory for Multiscale Mechanics and Medical Science, Department of Engineering Mechanics, State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Phys Rev E ; 108(6-1): 064408, 2023 Dec.
Article in En | MEDLINE | ID: mdl-38243511
ABSTRACT
Different types of cells exhibit a universal power-law rheology, but the mechanism underneath is still unclear. Based on the exponential distribution of actin filament length, we treat the cell cortex as a collection of chains of crosslinkers with exponentially distributed binding energy, and show that the power-law exponent of its stress relaxation should scale with the chain length. Through this model, we are able to explain how the exponent can be regulated by the crosslinker number and imposed strain during cortex relaxation. Network statistics show that the average length of filament-crosslinker chains decreases with the crosslinker number, which endows a denser network with lower exponent. Due to gradual molecular alignment with the stretch direction, the number of effectively stretched crosslinkers in the network is found to increase with the imposed strain. This effective growth in network density diminishes the exponent under large strain. By incorporating the inclined angle of crosslinkers into the model without in-series structure, we show that the exponent cannot be altered by crosslinker rotation directly, refining our previous conjectures. This work may help to understand cellular mechanics from the molecular perspective.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cytoskeleton / Models, Biological Language: En Journal: Phys Rev E Year: 2023 Document type: Article Affiliation country: China Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cytoskeleton / Models, Biological Language: En Journal: Phys Rev E Year: 2023 Document type: Article Affiliation country: China Country of publication: United States