bioRxiv · 10.1101/2024.07.04.600628
Oxidation-induced structural changes in actin and myosin evaluated by computational simulation, machine learning modeling and high-speed AFM
Abstract
High levels of reactive oxygen species produced during muscle oxidative stress are implicated in the development of several muscle diseases. To better understand the mechanism behind a reduced myosin force generation under oxidizing conditions, we analyzed the structural and functional changes in the actin and actin-myosin complex using high-speed atomic force microscopy (HS-AFM), simulated HS-AFM, and molecular dynamics (MD) simulation. Computational oxidative nitration of tyrosine residues demonstrated instability in the molecular structure of the F-actin subunit. Cross-section analysis of the simulated HS-AFM images revealed a shift in the height values ([~]0.2-1.5 nm in magnitude) between the non-oxidized and oxidized actin, which correspond to the height differences observed in HS-AFM experiments with in vitro oxidized F-actin. The oxidation-induced structural alterations in actin impact myosin molecule displacement on the single-molecule level. The displacements of myosin heads along the F-actin filaments in the presence of ATP involve the binding of the myosin molecule to a specific site on the F-actin filament, followed by the rotation of the myosin lever arm, which triggers the release of inorganic phosphate (Pi). Subsequently, the myosin head detaches from the F-actin and re-binds to a new site on the filament. The formation of the SIN-1-treated F-actin-myosin complex in the presence of ATP resulted in a change in myosin head displacement size, with a significant decrease in the frequency of long displacements ([≥] 4 nm). These results suggest that oxidation decreases the pool of the weak-bound myosin molecules and shortens the long displacements related to the Pi release step, reducing the force generation by myosin motors.
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Matusovsky, O. S., Elkrief, D., Cheng, Y.-S., Rassier, D. E.. 2024-07-08. Oxidation-induced structural changes in actin and myosin evaluated by computational simulation, machine learning modeling and high-speed AFM. https://doi.org/10.1101/2024.07.04.600628
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