Key result
MUSICO modeling predicts muscle fiber contraction characteristics across human myosin isoforms.
Why the study?
To explore how well experimentally defined in-solution cross-bridge cycles for human striated muscle myosin isoforms predict the characteristics of muscle fiber contraction.
Computational modeling using MUSICO demonstrates that experimentally defined cross-bridge cycle parameters can predict the major physiological characteristics of different human muscle fiber types.
May guide isoform-specific myosin therapies in cardiomyopathy; leaves open validation in human muscle performance.
Striated muscle myosins are encoded by a large gene family in all mammals, including human. These isoforms define several of the key characteristics of the different striated muscle fiber types including maximum shortening velocity. We have previously used recombinant isoforms of the motor domains of eight different human myosin isoforms to define the actin.myosin cross-bridge cycle in solution. Here, we use a recently developed modeling approach MUSICO to explore how well the experimentally defined cross-bridge cycles for each isoform in solution can predict the characteristics of muscle fiber contraction including duty ratio, shortening velocity, ATP economy and the load dependence of these parameters. The work shows that the parameters of the cross-bridge cycle predict many of the major characteristics of each muscle fiber type and raises the question of what sequence changes are responsible for these characteristics.
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Johnson et al. (2019) studied this question. Recombinant human muscle myosin II isoforms was evaluated on Predicted muscle fiber contraction characteristics (duty ratio, shortening velocity, ATP economy). Modeling the ATPase cycle of human muscle myosin isoforms predicted key characteristics of muscle fiber contraction, demonstrating how sequence adaptations support distinct physiological roles.
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