Issue 20, 2023

Micro-mechanical response and power-law exponents from the longitudinal fluctuations of F-actin solutions

Abstract

We investigate the local fluctuations of filamentous actin (F-actin), with a focus on the skeletal thin filament, using single-particle optical trapping interferometry. This experimental technique allows us to detect the Brownian motion of a tracer bead immersed in a complex fluid with nanometric resolution at the microsecond time-scale. The mean square displacement, loss modulus, and velocity autocorrelation function (VAF) of the trapped microprobes in the fluid follow power-law behaviors, whose exponents can be determined in the short-time/high-frequency regime over several decades. We obtain 7/8 subdiffusive power-law exponents for polystyrene depleted microtracers at low optical trapping forces. Microrheologically, the elastic modulus of these suspensions is observed to be constant up to the limit of high frequencies, confirming that the origin of this subdiffusive exponent is the local longitudinal fluctuations of the polymers. Deviations from this value are measured and discussed in relation to the characteristic length scales of these F-actin networks and probes’ properties, and also in connection with the different power-law exponents detected in the VAFs. Finally, we observed that the thin filament, composed of tropomyosin (Tm) and troponin (Tn) coupled to F-actin in the presence of Ca2+, shows exponent values less dispersed than that of F-actin alone, which we interpret as a micro-measurement of the filament stabilization.

Graphical abstract: Micro-mechanical response and power-law exponents from the longitudinal fluctuations of F-actin solutions

Supplementary files

Article information

Article type
Paper
Submitted
03 Nov 2022
Accepted
24 Apr 2023
First published
28 Apr 2023
This article is Open Access
Creative Commons BY-NC license

Soft Matter, 2023,19, 3652-3660

Micro-mechanical response and power-law exponents from the longitudinal fluctuations of F-actin solutions

P. Domínguez-García, J. R. Pinto, A. Akrap and S. Jeney, Soft Matter, 2023, 19, 3652 DOI: 10.1039/D2SM01445A

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