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Mesoscopic Model of Actin-Based Propulsion

Overview of attention for article published in PLoS Computational Biology, November 2012
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Title
Mesoscopic Model of Actin-Based Propulsion
Published in
PLoS Computational Biology, November 2012
DOI 10.1371/journal.pcbi.1002764
Pubmed ID
Authors

Jie Zhu, Alex Mogilner

Abstract

Two theoretical models dominate current understanding of actin-based propulsion: microscopic polymerization ratchet model predicts that growing and writhing actin filaments generate forces and movements, while macroscopic elastic propulsion model suggests that deformation and stress of growing actin gel are responsible for the propulsion. We examine both experimentally and computationally the 2D movement of ellipsoidal beads propelled by actin tails and show that neither of the two models can explain the observed bistability of the orientation of the beads. To explain the data, we develop a 2D hybrid mesoscopic model by reconciling these two models such that individual actin filaments undergoing nucleation, elongation, attachment, detachment and capping are embedded into the boundary of a node-spring viscoelastic network representing the macroscopic actin gel. Stochastic simulations of this 'in silico' actin network show that the combined effects of the macroscopic elastic deformation and microscopic ratchets can explain the observed bistable orientation of the actin-propelled ellipsoidal beads. To test the theory further, we analyze observed distribution of the curvatures of the trajectories and show that the hybrid model's predictions fit the data. Finally, we demonstrate that the model can explain both concave-up and concave-down force-velocity relations for growing actin networks depending on the characteristic time scale and network recoil. To summarize, we propose that both microscopic polymerization ratchets and macroscopic stresses of the deformable actin network are responsible for the force and movement generation.

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Geographical breakdown

Country Count As %
United States 2 2%
Turkey 1 1%
France 1 1%
Netherlands 1 1%
Japan 1 1%
United Kingdom 1 1%
Unknown 74 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 30%
Researcher 23 28%
Student > Bachelor 6 7%
Professor > Associate Professor 5 6%
Student > Master 5 6%
Other 9 11%
Unknown 9 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 32%
Physics and Astronomy 15 19%
Biochemistry, Genetics and Molecular Biology 13 16%
Engineering 7 9%
Mathematics 5 6%
Other 4 5%
Unknown 11 14%