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Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization.

Authors
  • Rickman, Jamie1
  • Nédélec, François
  • Surrey, Thomas
  • 1 The Francis Crick Institute, 1 Midland Road, London NW1 1AT, United Kingdom. Centre for Mathematics and Physics in the Life Sciences and Experimental Biology, University College London, London WC1 6BT, United Kingdom. , (United Kingdom)
Type
Published Article
Journal
Physical Biology
Publisher
IOP Publishing
Publication Date
Apr 23, 2019
Volume
16
Issue
4
Pages
46004–46004
Identifiers
DOI: 10.1088/1478-3975/ab0fb1
PMID: 31013252
Source
Medline
Language
English
License
Unknown

Abstract

Active networks composed of filaments and motor proteins can self-organize into a variety of architectures. Computer simulations in two or three spatial dimensions and including or omitting steric interactions between filaments can be used to model active networks. Here we examine how these modelling choices affect the state space of network self-organization. We compare the networks generated by different models of a system of dynamic microtubules and microtubule-crosslinking motors. We find that a thin 3D model that includes steric interactions between filaments is the most versatile, capturing a variety of network states observed in recent experiments. In contrast, 2D models either with or without steric interactions which prohibit microtubule crossings can produce some, but not all, observed network states. Our results provide guidelines for the most appropriate choice of model for the study of different network types and elucidate mechanisms of active network organization.

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