2016
DOI: 10.1039/c5sm02506k
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Microscopic origins of anisotropic active stress in motor-driven nematic liquid crystals

Abstract: The cytoskeleton, despite comprising relatively few building blocks, drives an impressive variety of cellular phenomena ranging from cell division to motility. These building blocks include filaments, motor proteins, and static crosslinkers. Outside of cells, these same components can form novel materials exhibiting active flows and nonequilibrium contraction or extension. While dipolar extensile or contractile active stresses are common in nematic motor-filament systems, their microscopic origin remains uncle… Show more

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Cited by 43 publications
(69 citation statements)
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“…We computed the full filament pair partition function to ensure that cross-linker/motor kinetics followed the correct statistical mechanical rules ( 115 , 116 , 118 ). Attachment/detachment occurs for either head individually, so the motors/cross-linkers can have zero, one, or two heads bound.…”
Section: Methodsmentioning
confidence: 99%
“…We computed the full filament pair partition function to ensure that cross-linker/motor kinetics followed the correct statistical mechanical rules ( 115 , 116 , 118 ). Attachment/detachment occurs for either head individually, so the motors/cross-linkers can have zero, one, or two heads bound.…”
Section: Methodsmentioning
confidence: 99%
“…Because steric interactions between MTs may contribute to MT alignment and the establishment of bipolarity, we modeled short-range hard-wall repulsion between MTs rather than neglecting MT-MT interactions or using a spring-like repulsion. We also built on our previous work (115,116,118) to compute the statistical mechanics of motor and cross-linker binding and unbinding kinetics accurately, ensuring that detailed balance is maintained at the level of single binding/unbinding events. Finally, we used quantitative comparison of our simulated spindles' length and structure to data from light and electron microscopy to optimize the model's poorly constrained parameters.…”
Section: S C I E N C E a D V A N C E S | R E S E A R C H A R T I C L Ementioning
confidence: 99%
“…Kinetic Monte Carlo methods model stochastic events that change the state of molecules in the system, including motor/cross-linker binding/unbinding and MT dynamic instability. We previously used these techniques to model MT-motor mixtures and kinetochore capture (115)(116)(117)(118)(119).…”
Section: Model Designmentioning
confidence: 99%
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