Modelling the motion of organelles in an elongated cell via the coordination of heterogeneous drift–diffusion and long-range transport
Lin, C; Ashwin, P; Steinberg, G
Date: 8 March 2021
Journal
European Physical Journal E
Publisher
Springer Verlag
Publisher DOI
Abstract
Cellular distribution of organelles in living cells is achieved via a variety of transport mechanisms, including directed motion, mediated by molecular motors along microtubules (MTs),
and diffusion which is predominantly heterogeneous in space. In this paper, we introduce a
model for particle transport in elongated cells that couples ...
Cellular distribution of organelles in living cells is achieved via a variety of transport mechanisms, including directed motion, mediated by molecular motors along microtubules (MTs),
and diffusion which is predominantly heterogeneous in space. In this paper, we introduce a
model for particle transport in elongated cells that couples poleward drift, long-range bidirectional transport and diffusion with spatial heterogeneity in a three dimensional space. Using
stochastic simulations and analysis of a related population model, we find parameter regions
where the three-dimensional model can be reduced to a coupled one-dimensional model or
even a one-dimensional scalar model. We explore the efficiency with which individual model
components can overcome drift towards one of the cell poles to reach approximately even
distributions. In particular, we find that when lateral movement is well mixed, increasing
binding ability of particles to MTs is an efficient way to overcome a poleward drift. When
lateral motion is not well mixed, increasing the axial diffusivity away from MTs becomes
an efficient way to overcome the poleward drift. Our three-dimensional model provides a
new tool that will help to understand the mechanisms by which eukaryotic cells organise
their organelles in an elongated cell, and in particular when the one-dimensional models are
applicable.
Mathematics and Statistics
Faculty of Environment, Science and Economy
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