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Programmed Bending Reveals Dynamic Mechanochemical Coupling in Supported Lipid Bilayers

Overview of attention for article published in PLOS ONE, December 2011
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Title
Programmed Bending Reveals Dynamic Mechanochemical Coupling in Supported Lipid Bilayers
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0028517
Pubmed ID
Authors

Sean F. Gilmore, Harika Nanduri, Atul N. Parikh

Abstract

In living cells, mechanochemical coupling represents a dynamic means by which membrane components are spatially organized. An extra-ordinary example of such coupling involves curvature-dependent polar localization of chemically-distinct lipid domains at bacterial poles, which also undergo dramatic reequilibration upon subtle changes in their interfacial environment such as during sporulation. Here, we demonstrate that such interfacially-triggered mechanochemical coupling can be recapitulated in vitro by simultaneous, real-time introduction of mechanically-generated periodic curvatures and attendant strain-induced lateral forces in lipid bilayers supported on elastomeric substrates. In particular, we show that real-time wrinkling of the elastomeric substrate prompts a dynamic domain reorganization within the adhering bilayer, producing large, oriented liquid-ordered domains in regions of low curvature. Our results suggest a mechanism in which interfacial forces generated during surface wrinkling and the topographical deformation of the bilayer combine to facilitate dynamic reequilibration prompting the observed domain reorganization. We anticipate this curvature-generating model system will prove to be a simple and versatile tool for a broad range of studies of curvature-dependent dynamic reorganizations in membranes that are constrained by the interfacial elastic and dynamic frameworks such as the cell wall, glycocalyx, and cytoskeleton.

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The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 47%
Researcher 3 18%
Student > Bachelor 2 12%
Lecturer 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Engineering 6 35%
Physics and Astronomy 5 29%
Chemistry 3 18%
Agricultural and Biological Sciences 2 12%
Unknown 1 6%