Literature DB >> 9826619

Direct tests of muscle cross-bridge theories: predictions of a Brownian dumbbell model for position-dependent cross-bridge lifetimes and step sizes with an optically trapped actin filament.

D A Smith1.   

Abstract

Force and displacement events from a single myosin molecule interacting with an actin filament suspended between optically trapped beads (Finer, J. T., R. M. Simmons, and J. A. Spudich. 1994. Nature. 368:113-119) can be interpreted in terms of a generalized cross-bridge model that includes the effects of Brownian forces on the beads. Steady-state distributions of force and displacement can be obtained directly from a generalized Smoluchowski equation for Brownian motion of the actin-bead "dumbbell," and time series from Monte Carlo simulations of the corresponding Langevin equation. When the frequency spectrum of Brownian motion extends beyond cross-bridge transition rates, the inverse mean lifetimes of force/displacement pulses are given by cross-bridge rate constants averaged over a Boltzmann distribution of Brownian noise. These averaged rate constants reflect the strain-dependence of the rate constants for the stationary filament, most faithfully at high trap stiffness. Hence, measurements of the lifetimes and displacements of single events as a function of the resting position of the dumbbell can provide a direct test of different cross-bridge theories of muscle contraction. Quantitative demonstrations are given for Huxley models with 1) faster binding or 2) slower dissociation at positive cross-bridge strain. Predictions for other models can be inferred from the averaging procedure.

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Year:  1998        PMID: 9826619      PMCID: PMC1299970          DOI: 10.1016/S0006-3495(98)77740-9

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  37 in total

1.  Four aspects of creep phenomena in striated muscle.

Authors:  R P Saldana; D A Smith
Journal:  J Muscle Res Cell Motil       Date:  1991-12       Impact factor: 2.698

2.  Simulation of stochastic processes in motile crossbridge systems.

Authors:  E Pate; R Cooke
Journal:  J Muscle Res Cell Motil       Date:  1991-08       Impact factor: 2.698

3.  Coordinated hydrolysis explains the mechanical behavior of kinesin.

Authors:  C S Peskin; G Oster
Journal:  Biophys J       Date:  1995-04       Impact factor: 4.033

4.  A theory of tension fluctuations due to muscle cross-bridges.

Authors:  N Thomas; R A Thornhill
Journal:  Proc Biol Sci       Date:  1995-03-22       Impact factor: 5.349

5.  Direct observation of kinesin stepping by optical trapping interferometry.

Authors:  K Svoboda; C F Schmidt; B J Schnapp; S M Block
Journal:  Nature       Date:  1993-10-21       Impact factor: 49.962

6.  Pathway of processive ATP hydrolysis by kinesin.

Authors:  S P Gilbert; M R Webb; M Brune; K A Johnson
Journal:  Nature       Date:  1995-02-23       Impact factor: 49.962

7.  Direct measurement of stiffness of single actin filaments with and without tropomyosin by in vitro nanomanipulation.

Authors:  H Kojima; A Ishijima; T Yanagida
Journal:  Proc Natl Acad Sci U S A       Date:  1994-12-20       Impact factor: 11.205

Review 8.  Biological applications of optical forces.

Authors:  K Svoboda; S M Block
Journal:  Annu Rev Biophys Biomol Struct       Date:  1994

9.  Single myosin molecule mechanics: piconewton forces and nanometre steps.

Authors:  J T Finer; R M Simmons; J A Spudich
Journal:  Nature       Date:  1994-03-10       Impact factor: 49.962

10.  Fluctuation analysis of motor protein movement and single enzyme kinetics.

Authors:  K Svoboda; P P Mitra; S M Block
Journal:  Proc Natl Acad Sci U S A       Date:  1994-12-06       Impact factor: 11.205

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  4 in total

1.  Protein-protein ratchets: stochastic simulation and application to processive enzymes.

Authors:  C J Brokaw
Journal:  Biophys J       Date:  2001-09       Impact factor: 4.033

2.  Two independent mechanical events in the interaction cycle of skeletal muscle myosin with actin.

Authors:  M Capitanio; M Canepari; P Cacciafesta; V Lombardi; R Cicchi; M Maffei; F S Pavone; R Bottinelli
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-21       Impact factor: 11.205

3.  Mapping the actin filament with myosin.

Authors:  W Steffen; D Smith; R Simmons; J Sleep
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-04       Impact factor: 11.205

4.  Hidden-Markov methods for the analysis of single-molecule actomyosin displacement data: the variance-Hidden-Markov method.

Authors:  D A Smith; W Steffen; R M Simmons; J Sleep
Journal:  Biophys J       Date:  2001-11       Impact factor: 4.033

  4 in total

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