Tunable intracellular transport on converging microtubule morphologies
Niranjan Sarpangala, Brooke Randell, Ajay Gopinathan, Oleg Kogan

TL;DR
This paper presents a one-dimensional model of microtubule-based intracellular transport near the MTOC, revealing how attachment/detachment rates and attractor positioning influence transport efficiency and control within cells.
Contribution
The study introduces a novel model incorporating advective and diffusive transport to analyze the tunability of cargo movement near the MTOC in cells.
Findings
MFPT transitions from low to high over specific attachment/detachment rates
Optimal dispersal occurs with asymmetric attractor placement when rates are increased
Escape location sensitivity to attractor position is exponentially high in rare event regimes
Abstract
A common type of cytoskeletal morphology involves multiple converging microbutubules with their minus ends collected and stabilized by a microtubule organizing center (MTOC) in the interior of the cell. This arrangement enables the ballistic transport of cargo bound to microtubules, both dynein mediated transport towards the MTOC and kinesin mediated transport away from it, interspersed with diffusion for unbound cargo-motor complexes. Spatial and temporal positioning of the MTOC allows for bidirectional transport towards and away from specific organelles and locations within the cell and also the sequestering and subsequent dispersal of dynein transported cargo. The general principles governing dynamics, efficiency and tunability of such transport in the MTOC vicinity is not fully understood. To address this, we develop a one-dimensional model that includes advective transport towards…
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.
Taxonomy
TopicsMicrotubule and mitosis dynamics · Micro and Nano Robotics · Stochastic processes and statistical mechanics
MethodsDiffusion
