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Role of molecular turnover in dynamic deformation of a three-dimensional cellular membrane

Overview of attention for article published in Biomechanics and Modeling in Mechanobiology, May 2017
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Title
Role of molecular turnover in dynamic deformation of a three-dimensional cellular membrane
Published in
Biomechanics and Modeling in Mechanobiology, May 2017
DOI 10.1007/s10237-017-0920-8
Pubmed ID
Authors

Satoru Okuda, Mototsugu Eiraku

Abstract

In cells, the molecular constituents of membranes are dynamically turned over by transportation from one membrane to another. This molecular turnover causes the membrane to shrink or expand by sensing the stress state within the cell, changing its morphology. At present, little is known as to how this turnover regulates the dynamic deformation of cellular membranes. In this study, we propose a new physical model by which molecular turnover is coupled with three-dimensional membrane deformation to explore mechanosensing roles of turnover in cellular membrane deformations. In particular, as an example of microscopic machinery, based on a coarse-graining description, we suppose that molecular turnover depends on the local membrane strain. Using the proposed model, we demonstrate computational simulations of a single vesicle. The results show that molecular turnover adaptively facilitates vesicle deformation, owing to its stress dependence; while the vesicle drastically expands in the case with low bending rigidity, it shrinks in that with high bending rigidity. Moreover, localized active tension on the membrane causes cellular migration by driving the directional transport of molecules within the cell. These results illustrate the use of the proposed model as well as the role of turnover in the dynamic deformations of cellular membranes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Student > Master 2 18%
Professor 1 9%
Student > Bachelor 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Engineering 2 18%
Agricultural and Biological Sciences 1 9%
Materials Science 1 9%
Chemistry 1 9%
Other 0 0%
Unknown 4 36%
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 05 June 2017.
All research outputs
#20,964,263
of 25,750,437 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#406
of 532 outputs
Outputs of similar age
#253,669
of 328,814 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#10
of 11 outputs
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So far Altmetric has tracked 532 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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