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Title: Frequency-dependent transition in power-law rheological behavior of living cells
Authors: Hang, Jiutao
Xu, Guangkui
Gao, Huajian
Keywords: Engineering::Mechanical engineering
Issue Date: 2022
Source: Hang, J., Xu, G. & Gao, H. (2022). Frequency-dependent transition in power-law rheological behavior of living cells. Science Advances, 8(18), eabn6093-.
Project: SUG 002479-00001
Journal: Science Advances
Abstract: Living cells are active viscoelastic materials exhibiting diverse mechanical behaviors at different time scales. However, dynamical rheological characteristics of cells in frequency range spanning many orders of magnitude, especially in high frequencies, remain poorly understood. Here, we show that a self-similar hierarchical model can capture cell's power-law rheological characteristics in different frequency scales. In low-frequency scales, the storage and loss moduli exhibit a weak power-law dependence on frequency with same exponent. In high-frequency scales, the storage modulus becomes a constant, while the loss modulus shows a power-law dependence on frequency with an exponent of 1.0. The transition between low- and high-frequency scales is defined by a transition frequency based on cell's mechanical parameters. The cytoskeletal differences of different cell types or states can be characterized by changes in mechanical parameters in the model. This study provides valuable insights into potentially using mechanics-based markers for cell classification and cancer diagnosis.
ISSN: 2375-2548
DOI: 10.1126/sciadv.abn6093
Schools: School of Mechanical and Aerospace Engineering 
Organisations: Institute of High Performance Computing, A*STAR
Rights: © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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