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Entropic Tension in Crowded Membranes

Overview of attention for article published in PLoS Computational Biology, March 2012
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Title
Entropic Tension in Crowded Membranes
Published in
PLoS Computational Biology, March 2012
DOI 10.1371/journal.pcbi.1002431
Pubmed ID
Authors

Martin Lindén, Pierre Sens, Rob Phillips

Abstract

Unlike their model membrane counterparts, biological membranes are richly decorated with a heterogeneous assembly of membrane proteins. These proteins are so tightly packed that their excluded area interactions can alter the free energy landscape controlling the conformational transitions suffered by such proteins. For membrane channels, this effect can alter the critical membrane tension at which they undergo a transition from a closed to an open state, and therefore influence protein function in vivo. Despite their obvious importance, crowding phenomena in membranes are much less well studied than in the cytoplasm. Using statistical mechanics results for hard disk liquids, we show that crowding induces an entropic tension in the membrane, which influences transitions that alter the projected area and circumference of a membrane protein. As a specific case study in this effect, we consider the impact of crowding on the gating properties of bacterial mechanosensitive membrane channels, which are thought to confer osmoprotection when these cells are subjected to osmotic shock. We find that crowding can alter the gating energies by more than [Formula: see text] in physiological conditions, a substantial fraction of the total gating energies in some cases. Given the ubiquity of membrane crowding, the nonspecific nature of excluded volume interactions, and the fact that the function of many membrane proteins involve significant conformational changes, this specific case study highlights a general aspect in the function of membrane proteins.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 5%
United Kingdom 4 3%
France 4 3%
Germany 1 <1%
Indonesia 1 <1%
Austria 1 <1%
Switzerland 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Other 2 1%
Unknown 129 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 33%
Researcher 36 24%
Professor 17 11%
Student > Master 13 8%
Professor > Associate Professor 9 6%
Other 18 12%
Unknown 9 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 28%
Physics and Astronomy 27 18%
Engineering 19 12%
Biochemistry, Genetics and Molecular Biology 18 12%
Chemistry 18 12%
Other 15 10%
Unknown 13 8%