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Imaging the post-fusion release and capture of a vesicle membrane protein

Overview of attention for article published in Nature Communications, October 2012
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Title
Imaging the post-fusion release and capture of a vesicle membrane protein
Published in
Nature Communications, October 2012
DOI 10.1038/ncomms2158
Pubmed ID
Authors

Kem A. Sochacki, Ben T. Larson, Deepali C. Sengupta, Mathew P. Daniels, Gleb Shtengel, Harald F. Hess, Justin W. Taraska

Abstract

The molecular mechanism responsible for capturing, sorting and retrieving vesicle membrane proteins following triggered exocytosis is not understood. Here we image the post-fusion release and then capture of a vesicle membrane protein, the vesicular acetylcholine transporter, from single vesicles in living neuroendocrine cells. We combine these measurements with super-resolution interferometric photo-activation localization microscopy and electron microscopy, and modelling to map the nanometer-scale topography and architecture of the structures responsible for the transporter's capture following exocytosis. We show that after exocytosis, the transporter rapidly diffuses into the plasma membrane, but most travels only a short distance before it is locally captured over a dense network of membrane-resident clathrin-coated structures. We propose that the extreme density of these structures acts as a short-range diffusion trap. They quickly sequester diffusing vesicle material and limit its spread across the membrane. This system could provide a means for clathrin-mediated endocytosis to quickly recycle vesicle proteins in highly excitable cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Germany 2 2%
France 2 2%
Chile 1 <1%
Unknown 95 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 34%
Researcher 18 17%
Professor > Associate Professor 8 8%
Student > Master 7 7%
Student > Bachelor 6 6%
Other 16 16%
Unknown 13 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 43%
Biochemistry, Genetics and Molecular Biology 20 19%
Physics and Astronomy 8 8%
Neuroscience 6 6%
Chemistry 4 4%
Other 7 7%
Unknown 14 14%