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Microtubule binding kinetics of membrane-bound kinesin-1 predicts high motor copy numbers on intracellular cargo.

Rui JiangSteven VandalSooHyun ParkSheereen MajdErkan TüzelWilliam O Hancock
Published in: Proceedings of the National Academy of Sciences of the United States of America (2019)
Bidirectional vesicle transport along microtubules is necessary for cell viability and function, particularly in neurons. When multiple motors are attached to a vesicle, the distance a vesicle travels before dissociating is determined by the race between detachment of the bound motors and attachment of the unbound motors. Motor detachment rate constants (k off) can be measured via single-molecule experiments, but motor reattachment rate constants (k on) are generally unknown, as they involve diffusion through the bilayer, geometrical considerations of the motor tether length, and the intrinsic microtubule binding rate of the motor. To understand the attachment dynamics of motors bound to fluid lipid bilayers, we quantified the microtubule accumulation rate of fluorescently labeled kinesin-1 motors in a 2-dimensional (2D) system where motors were linked to a supported lipid bilayer. From the first-order accumulation rate at varying motor densities, we extrapolated a k off that matched single-molecule measurements and measured a 2D k on for membrane-bound kinesin-1 motors binding to the microtubule. This k on is consistent with kinesin-1 being able to reach roughly 20 tubulin subunits when attaching to a microtubule. By incorporating cholesterol to reduce membrane diffusivity, we demonstrate that this k on is not limited by the motor diffusion rate, but instead is determined by the intrinsic motor binding rate. For intracellular vesicle trafficking, this 2D k on predicts that long-range transport of 100-nm-diameter vesicles requires 35 kinesin-1 motors, suggesting that teamwork between different motor classes and motor clustering may play significant roles in long-range vesicle transport.
Keyphrases
  • single molecule
  • computed tomography
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  • living cells
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  • pet imaging