Final Report: Measurement of Velocity Fluctuations to Infer Attachment Geometry and Interactions of Mechanically Coupled Molecular Motors in One-Dimensional Arrays

Abstract

Motor proteins such as myosin or kinesin play a major role in cellular cargo transport, muscle contraction, cell division, and also in engineered nano devices. Quantifying the collective behavior of coupled motors is critical for our understanding of these systems. An excellent model system is the gliding motility assay, where hundreds of surface-adhered motors propel one cytoskeletal filament such as anactin filament or a microtubule. The filament motion can be observed using fluorescence microscopy, revealing fluctuations in gliding velocity. These velocity fluctuations have been previously quantified by a motional diffusion coefficient, which Sekimoto and Tawada explained as arising from the addition and removal of motors from the linear array of motors propelling the filament as it advances assuming that different motors are not equally efficient in their force generation. A computational model of kinesin head diffusion and binding to the microtubule allowed us to quantify the heterogeneity of motor efficiency arising from the combination of an harmonic tail stiffness and varying attachment geometries assuming random motor locations on the surface and an absence of coordination between motors. Knowledge of the heterogeneity allows the calculation of the proportionality constant between the motional diffusion coefficient and the motor density. The calculated value (0.3) is within a standard error of our measurements of the motional diffusion coefficient on surfaces with varying motor densities calibrated by landing rate experiments. This allowed us to quantify the loss in efficiency of coupled molecular motors arising from heterogeneity in the attachment geometry.

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Document Details

Document Type
Technical Report
Publication Date
Jun 27, 2016
Accession Number
AD1063080

Entities

People

  • Henry Hess

Organizations

  • Columbia University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Arrays
  • Attachment
  • Biomedical Engineering
  • Cell Division
  • Coefficients
  • Department Of Defense
  • Diffusion Coefficient
  • Efficiency
  • Energy Efficiency
  • Engineering
  • Freight Transportation
  • Geometry
  • Mathematics
  • Phase Transformations
  • Students

Readers

  • Cellular and Molecular Pathways of Apoptosis.
  • Electrical Engineering
  • Plasma Physics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference