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

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 modellin...

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Detalles Bibliográficos
Autores principales: Rickman, Jamie, Nédélec, François, Surrey, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655122/
https://www.ncbi.nlm.nih.gov/pubmed/31013252
http://dx.doi.org/10.1088/1478-3975/ab0fb1
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author Rickman, Jamie
Nédélec, François
Surrey, Thomas
author_facet Rickman, Jamie
Nédélec, François
Surrey, Thomas
author_sort Rickman, Jamie
collection PubMed
description 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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spelling pubmed-76551222020-11-12 Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization Rickman, Jamie Nédélec, François Surrey, Thomas Phys Biol Paper 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. IOP Publishing 2019-07 2019-04-23 /pmc/articles/PMC7655122/ /pubmed/31013252 http://dx.doi.org/10.1088/1478-3975/ab0fb1 Text en © 2019 IOP Publishing Ltd http://creativecommons.org/licenses/by/3.0/ Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (http://creativecommons.org/licenses/by/3.0) . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
spellingShingle Paper
Rickman, Jamie
Nédélec, François
Surrey, Thomas
Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization
title Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization
title_full Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization
title_fullStr Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization
title_full_unstemmed Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization
title_short Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization
title_sort effects of spatial dimensionality and steric interactions on microtubule-motor self-organization
topic Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655122/
https://www.ncbi.nlm.nih.gov/pubmed/31013252
http://dx.doi.org/10.1088/1478-3975/ab0fb1
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