Effectiveness of a dynein team in tug-of-war helped by reduced load-sensitivity of detachment: evidence from study of bidirectional endosome transport in Dictyostelium discoideum
Deepak Bhat, Manoj Gopalakrishnan (Department of Physics, IIT, Madras)

TL;DR
This study models dynein motor team detachment in bidirectional cargo transport, revealing that a saturated load-dependent detachment rate better explains experimental observations than the traditional exponential model.
Contribution
It introduces a modified load-dependent detachment model for dynein motors that aligns with experimental data, challenging previous assumptions about motor detachment dynamics.
Findings
Exponential load-dependent detachment predicts too rapid dynein unbinding.
Saturation of unbinding rate at stall force matches observed stall durations.
Dynein detachment behavior differs significantly at sub-stall and super-stall loads.
Abstract
Bidirectional cargo transport by molecular motors in cells is a complex phenomenon, in which the cargo (usually a vesicle) alternately moves in retrograde and anterograde directions. In this case, teams of oppositely pulling motors (eg., kinesin and dynein) bind to the cargo simultaneously, and `coordinate' their activity such that the motion consists of spells of positively and negatively directed segments, separated by pauses of varying duration. A set of recent experiments have analyzed the bidirectional motion of endosomes in the amoeba D. discoideum in detail. It was found that in between directional switches, a team of 5-6 dyneins stall a cargo against a stronger kinesin in tug of war, which lasts for almost a second. As the mean detachment time of a kinesin under its stall load was also observed to be ~ 1s, we infer that the collective detachment time of the dynein assembly must…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
