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Phase behaviour of disordered proteins underlying low density and high permeability of liquid organelles

Overview of attention for article published in Nature Chemistry, June 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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9 news outlets
blogs
1 blog
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23 X users
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1 Facebook page

Citations

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453 Dimensions

Readers on

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618 Mendeley
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Title
Phase behaviour of disordered proteins underlying low density and high permeability of liquid organelles
Published in
Nature Chemistry, June 2017
DOI 10.1038/nchem.2803
Pubmed ID
Authors

Ming-Tzo Wei, Shana Elbaum-Garfinkle, Alex S. Holehouse, Carlos Chih-Hsiung Chen, Marina Feric, Craig B. Arnold, Rodney D. Priestley, Rohit V. Pappu, Clifford P. Brangwynne

Abstract

Many intracellular membraneless organelles form via phase separation of intrinsically disordered proteins (IDPs) or regions (IDRs). These include the Caenorhabditis elegans protein LAF-1, which forms P granule-like droplets in vitro. However, the role of protein disorder in phase separation and the macromolecular organization within droplets remain elusive. Here, we utilize a novel technique, ultrafast-scanning fluorescence correlation spectroscopy, to measure the molecular interactions and full coexistence curves (binodals), which quantify the protein concentration within LAF-1 droplets. The binodals of LAF-1 and its IDR display a number of unusual features, including 'high concentration' binodal arms that correspond to remarkably dilute droplets. We find that LAF-1 and other in vitro and intracellular droplets are characterized by an effective mesh size of ∼3-8 nm, which determines the size scale at which droplet properties impact molecular diffusion and permeability. These findings reveal how specific IDPs can phase separate to form permeable, low-density (semi-dilute) liquids, whose structural features are likely to strongly impact biological function.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users 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 618 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 618 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 180 29%
Researcher 83 13%
Student > Bachelor 66 11%
Student > Master 56 9%
Student > Doctoral Student 31 5%
Other 75 12%
Unknown 127 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 191 31%
Agricultural and Biological Sciences 68 11%
Chemistry 68 11%
Physics and Astronomy 52 8%
Chemical Engineering 34 6%
Other 58 9%
Unknown 147 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 80. 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 25 May 2021.
All research outputs
#536,567
of 25,515,042 outputs
Outputs from Nature Chemistry
#401
of 3,353 outputs
Outputs of similar age
#11,367
of 328,690 outputs
Outputs of similar age from Nature Chemistry
#7
of 57 outputs
Altmetric has tracked 25,515,042 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.1. This one has done well, scoring higher than 88% 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 328,690 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 96% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.