2019
DOI: 10.1088/1478-3975/ab0fb1
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Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization

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 mo… Show more

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Cited by 18 publications
(21 citation statements)
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“…In contrast to MEDYAN, other cytoskeletal modeling strategies, such as Cytosim (Cytoskeletal Simulation) [66,67], AFINES (Active Filament Network Simulation) [68], and the model by Kim and coworkers [41] rely on the Langevin dynamics of cytoskeletal components, explicitly simulating thermal undulations at the expense of significant diminution of computational efficiency. Among these models, MEDYAN’s treatment of general reaction-diffusion processes is most comprehensive (in particular, with regard to G-actin’s diffusion and reactions).…”
Section: Methodsmentioning
confidence: 99%
“…In contrast to MEDYAN, other cytoskeletal modeling strategies, such as Cytosim (Cytoskeletal Simulation) [66,67], AFINES (Active Filament Network Simulation) [68], and the model by Kim and coworkers [41] rely on the Langevin dynamics of cytoskeletal components, explicitly simulating thermal undulations at the expense of significant diminution of computational efficiency. Among these models, MEDYAN’s treatment of general reaction-diffusion processes is most comprehensive (in particular, with regard to G-actin’s diffusion and reactions).…”
Section: Methodsmentioning
confidence: 99%
“…The current simulator was developed in a 3D environment and the movement of the molecules was restricted to a 2D space for reducing the simulation complexity as we analyzed only the formation of Level 2-3 sub-structures. Considering the recommendation made by Jamie et al [19] about the effect of spatial dimensionality, we plan to extend the framework in 3D (Level 4) in the future to form complete MTs from the current substructures (Level 1-3). We also plan to include the effect of MTOCs, Golgi apparatus by adding new environments and interaction rules.…”
Section: Discussionmentioning
confidence: 99%
“…Also, the effect of several mutants destroying the self-organization was analyzed in their work. The effect of spatial dimensionality on MT self-organization was investigated by Jamie et al [19]. They conducted simulations on filament active networks and motor-proteins self-organizing into tubes in 2D and 3D spaces.…”
Section: Introductionmentioning
confidence: 99%
“…Attractive steric forces between filaments were not included in the simulations. The steric parameters were adapted from the range in previous studies testing steric interactions between microtubules or actin filaments using Cytosim 58,59 . Because of excessive computational costs, it was difficult to perform simulations of centrosome positioning with dense actin filaments.…”
Section: Methodsmentioning
confidence: 99%