Literature DB >> 11371430

A dynamical model of kinesin-microtubule motility assays.

F Gibbons1, J F Chauwin, M Despósito, J V José.   

Abstract

A two-dimensional stochastic model for the dynamics of microtubules in gliding-assay experiments is presented here, which includes the viscous drag acting on the moving fiber and the interaction with the kinesins. For this purpose, we model kinesin as a spring, and explicitly use parameter values to characterize the model from experimental data. We numerically compute the mean attachment lifetimes of all motors, the total force exerted on the microtubules at all times, the effects of a distribution in the motor speeds, and also the mean velocity of a microtubule in a gliding assay. We find quantitative agreement with the results of J. Howard, A. J. Hudspeth, and R. D. Vale, Nature. 342:154-158. We perform additional numerical analysis of the individual motors, and show how cancellation of the forces exerted by the many motors creates a resultant longitudinal force much smaller than the maximum force that could be exerted by a single motor. We also examine the effects of inhomogeneities in the motor-speeds. Finally, we present a simple theoretical model for microtubules dynamics in gliding assays. We show that the model can be analytically solved in the limit of few motors attached to the microtubule and in the opposite limit of high motor density. We find that the speed of the microtubule goes like the mean speed of the motors in good quantitative agreement with the experimental and numerical results.

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Year:  2001        PMID: 11371430      PMCID: PMC1301441          DOI: 10.1016/S0006-3495(01)76223-6

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


  20 in total

1.  "Gliding assays" for motor proteins: A theoretical analysis.

Authors: 
Journal:  Phys Rev Lett       Date:  1995-01-09       Impact factor: 9.161

2.  Bead movement by single kinesin molecules studied with optical tweezers.

Authors:  S M Block; L S Goldstein; B J Schnapp
Journal:  Nature       Date:  1990-11-22       Impact factor: 49.962

3.  Motor protein mechanics: a stochastic model with minimal mechanochemical coupling.

Authors:  T Duke; S Leibler
Journal:  Biophys J       Date:  1996-09       Impact factor: 4.033

4.  Kinesin hydrolyses one ATP per 8-nm step.

Authors:  M J Schnitzer; S M Block
Journal:  Nature       Date:  1997-07-24       Impact factor: 49.962

5.  Movement of microtubules by single kinesin molecules.

Authors:  J Howard; A J Hudspeth; R D Vale
Journal:  Nature       Date:  1989-11-09       Impact factor: 49.962

6.  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

7.  Force production by depolymerizing microtubules: load-velocity curves and run-pause statistics.

Authors:  C S Peskin; G F Oster
Journal:  Biophys J       Date:  1995-12       Impact factor: 4.033

8.  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

9.  Processivity of the motor protein kinesin requires two heads.

Authors:  W O Hancock; J Howard
Journal:  J Cell Biol       Date:  1998-03-23       Impact factor: 10.539

10.  Kinesin takes one 8-nm step for each ATP that it hydrolyzes.

Authors:  D L Coy; M Wagenbach; J Howard
Journal:  J Biol Chem       Date:  1999-02-05       Impact factor: 5.157

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  14 in total

1.  Fast vesicle transport in PC12 neurites: velocities and forces.

Authors:  D B Hill; M J Plaza; K Bonin; G Holzwarth
Journal:  Eur Biophys J       Date:  2004-04-08       Impact factor: 1.733

2.  Analysis of video-based microscopic particle trajectories using Kalman filtering.

Authors:  Pei-Hsun Wu; Ashutosh Agarwal; Henry Hess; Pramod P Khargonekar; Yiider Tseng
Journal:  Biophys J       Date:  2010-06-16       Impact factor: 4.033

3.  A nonequilibrium power balance relation for analyzing dissipative filament dynamics.

Authors:  Falko Ziebert; Hervé Mohrbach; Igor M Kulić
Journal:  Eur Phys J E Soft Matter       Date:  2015-12-22       Impact factor: 1.890

4.  Biophysical model of self-organized spindle formation patterns without centrosomes and kinetochores.

Authors:  Stuart C Schaffner; Jorge V José
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-14       Impact factor: 11.205

5.  Force-velocity relationship for multiple kinesin motors pulling a magnetic bead.

Authors:  Todd L Fallesen; Jed C Macosko; G Holzwarth
Journal:  Eur Biophys J       Date:  2011-07-07       Impact factor: 1.733

6.  Buckling instabilities and spatio-temporal dynamics of active elastic filaments.

Authors:  Yaouen Fily; Priya Subramanian; Tobias M Schneider; Raghunath Chelakkot; Arvind Gopinath
Journal:  J R Soc Interface       Date:  2020-04-22       Impact factor: 4.118

7.  De novo mutations in KIF1A-associated neuronal disorder (KAND) dominant-negatively inhibit motor activity and axonal transport of synaptic vesicle precursors.

Authors:  Yuzu Anazawa; Tomoki Kita; Rei Iguchi; Kumiko Hayashi; Shinsuke Niwa
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-02       Impact factor: 12.779

Review 8.  Kinesin and Dynein Mechanics: Measurement Methods and Research Applications.

Authors:  Zachary Abraham; Emma Hawley; Daniel Hayosh; Victoria A Webster-Wood; Ozan Akkus
Journal:  J Biomech Eng       Date:  2018-02-01       Impact factor: 2.097

9.  Kinesin velocity increases with the number of motors pulling against viscoelastic drag.

Authors:  Jason Gagliano; Matthew Walb; Brian Blaker; Jed C Macosko; George Holzwarth
Journal:  Eur Biophys J       Date:  2009-11-17       Impact factor: 1.733

10.  Twirling motion of actin filaments in gliding assays with nonprocessive Myosin motors.

Authors:  Andrej Vilfan
Journal:  Biophys J       Date:  2009-08-19       Impact factor: 4.033

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