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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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 November 2012.
All research outputs
#17,604,528
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#7,544
of 9,043 outputs
Outputs of similar age
#134,798
of 203,228 outputs
Outputs of similar age from PLoS Computational Biology
#75
of 107 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 203,228 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.