Power laws in microrheology experiments on living cells:: Comparative analysis and modeling

被引:185
作者
Balland, Martial
Desprat, Nicolas
Icard, Delphine
Fereol, Sophie
Asnacios, Atef
Browaeys, Julien
Henon, Sylvie
Gallet, Francois
机构
[1] CNRS, UMR 7057, Lab Mat & Syst Complexes, F-75251 Paris 05, France
[2] Univ Paris 07, F-75251 Paris 05, France
[3] Fac Med, INSERM, U492, F-94010 Creteil, France
[4] Fac Sci & Technol, F-94010 Creteil, France
来源
PHYSICAL REVIEW E | 2006年 / 74卷 / 02期
关键词
D O I
10.1103/PhysRevE.74.021911
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 [等离子体物理]; 080103 [流体力学]; 080704 [流体机械及工程];
摘要
We compare and synthesize the results of two microrheological experiments on the cytoskeleton of single cells. In the first one, the creep function J(t) of a cell stretched between two glass plates is measured after applying a constant force step. In the second one, a microbead specifically bound to transmembrane receptors is driven by an oscillating optical trap, and the viscoelastic coefficient G(e)(omega) is retrieved. Both J(t) and G(e)(omega) exhibit power law behaviors: J(t)=A(0)(t/t(0))(alpha) and parallel to G(e)(omega)parallel to=G(0)(omega/omega(0))(alpha), with the same exponent alpha approximate to 0.2. This power law behavior is very robust; alpha is distributed over a narrow range, and shows almost no dependence on the cell type, on the nature of the protein complex which transmits the mechanical stress, nor on the typical length scale of the experiment. On the contrary, the prefactors A(0) and G(0) appear very sensitive to these parameters. Whereas the exponents alpha are normally distributed over the cell population, the prefactors A(0) and G(0) follow a log-normal repartition. These results are compared with other data published in the literature. We propose a global interpretation, based on a semiphenomenological model, which involves a broad distribution of relaxation times in the system. The model predicts the power law behavior and the statistical repartition of the mechanical parameters, as experimentally observed for the cells. Moreover, it leads to an estimate of the largest response time in the cytoskeletal network: tau(m)similar to 1000 s.
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页数:17
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