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Single-molecule analysis reveals self assembly and nanoscale segregation of two distinct cavin subcomplexes on caveolae

Overview of attention for article published in eLife, January 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
Single-molecule analysis reveals self assembly and nanoscale segregation of two distinct cavin subcomplexes on caveolae
Published in
eLife, January 2014
DOI 10.7554/elife.01434
Pubmed ID
Authors

Yann Gambin, Nicholas Ariotti, Kerrie-Ann McMahon, Michele Bastiani, Emma Sierecki, Oleksiy Kovtun, Mark E Polinkovsky, Astrid Magenau, WooRam Jung, Satomi Okano, Yong Zhou, Natalya Leneva, Sergey Mureev, Wayne Johnston, Katharina Gaus, John F Hancock, Brett M Collins, Kirill Alexandrov, Robert G Parton

Abstract

In mammalian cells three closely related cavin proteins cooperate with the scaffolding protein caveolin to form membrane invaginations known as caveolae. Here we have developed a novel single-molecule fluorescence approach to directly observe interactions and stoichiometries in protein complexes from cell extracts and from in vitro synthesized components. We show that up to 50 cavins associate on a caveola. However, rather than forming a single coat complex containing the three cavin family members, single-molecule analysis reveals an exquisite specificity of interactions between cavin1, cavin2 and cavin3. Changes in membrane tension can flatten the caveolae, causing the release of the cavin coat and its disassembly into separate cavin1-cavin2 and cavin1-cavin3 subcomplexes. Each of these subcomplexes contain 9 ± 2 cavin molecules and appear to be the building blocks of the caveolar coat. High resolution immunoelectron microscopy suggests a remarkable nanoscale organization of these separate subcomplexes, forming individual striations on the surface of caveolae. DOI: http://dx.doi.org/10.7554/eLife.01434.001.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Sweden 1 1%
United Kingdom 1 1%
Canada 1 1%
Japan 1 1%
Unknown 86 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 29%
Researcher 19 21%
Student > Bachelor 8 9%
Student > Doctoral Student 7 8%
Student > Master 7 8%
Other 10 11%
Unknown 14 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 30%
Agricultural and Biological Sciences 26 29%
Medicine and Dentistry 5 5%
Physics and Astronomy 5 5%
Chemistry 4 4%
Other 8 9%
Unknown 16 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 13 September 2022.
All research outputs
#1,800,170
of 23,318,744 outputs
Outputs from eLife
#5,417
of 14,174 outputs
Outputs of similar age
#22,017
of 310,290 outputs
Outputs of similar age from eLife
#26
of 99 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,174 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.9. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 310,290 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.