ArticleJournal of biomedicine & biotechnology2011
Distribution of myosin attachment times predicted from viscoelastic mechanics of striated muscle.
Article in Journal of biomedicine & biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- RLC phosphorylation amplifies Ca2+ sensitivity of force in myocardium from cMyBP-C knockout mice.The Journal of general physiology · 2023Article
- Mavacamten decreases maximal force and CaAmerican journal of physiology. Heart and circulatory physiology · 2021Article
- Effects of mavacamten on CaBritish journal of pharmacology · 2020Article
- Omecamtiv Mecarbil Slows Myosin Kinetics in Skinned Rat Myocardium at Physiological Temperature.Biophysical journal · 2019Article
- An inverse power-law distribution of molecular bond lifetimes predicts fractional derivative viscoelasticity in biological tissue.Biophysical journal · 2013Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
We demonstrate that viscoelastic mechanics of striated muscle, measured as elastic and viscous moduli, emerge directly from the myosin crossbridge attachment time, t(att), also called time-on. The distribution of t(att) was modeled using a gamma distribution with shape parameter, p, and scale parameter, β. At 5 mM MgATP, β was similar between mouse α-MyHC (16.0 ± 3.7 ms) and β-MyHC (17.9 ± 2.0 ms), and p was higher (P < 0.05) for β-MyHC (5.6 ± 0.4 no units) compared to α-MyHC (3.2 ± 0.9). At 1 mM MgATP, p approached a value of 10 in both isoforms, but β rose only in the β-MyHC (34.8 ± 5.8 ms). The estimated mean t(att) (i.e., pβ product) was longer in the β-MyHC compared to α-MyHC, and became prolonged in both isoforms as MgATP was reduced as expected. The application of our viscoelastic model to these isoforms and varying MgATP conditions suggest that t(att) is better modeled as a gamma distribution due to its representing multiple temporal events occurring within t(att) compared to a single exponential distribution which assumes only one temporal event within t(att).
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Registered trials
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