title: A macroscopic model of traffic jams in axons.
abstract: The purpose of this paper is to develop a minimal macroscopic model capable of explaining the formation of traffic jams in fast axonal transport. The model accounts for the decrease of the number density of positively (and negatively) oriented microtubules near the location of the traffic jam due to formation of microtubule swirls; the model also accounts for the reduction of the effective velocity of organelle transport in the traffic jam region due to organelles falling off microtubule tracks more often in the swirl region. The model is based on molecular-motor-assisted transport equations and the hydrodynamic model of traffic jams in highway traffic. Parametric analyses of the model's predictions for various values of viscosity of the traffic flow, variance of the velocity distribution, diffusivity of microtubule-bound and free organelles, rate constants for binding to and detachment from microtubules, relaxation time, and average motor velocities of the retrograde and anterograde transport, are carried out.
authors: Dept. of Mechanical and Aerospace Engineering, North Carolina State University, Campus Box 7910, Raleigh, NC 27695-7910, USA. avkuznet@eos.ncsu.edu
authors: A V
authors: AV
authors: Kuznetsov
authors: A A
authors: AA
authors: Avramenko
mesh_terms: D001370:Axonal Transport / Q000502:physiology*; D006801:Humans; D008870:Microtubules / Q000502:physiology*; D008959:Models, Neurological; D009716:Numerical Analysis, Computer-Assisted; D015388:Organelles / Q000502:physiology*