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Huntingtin functions as a scaffold for selective macroautophagy

Overview of attention for article published in Nature Cell Biology, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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2 news outlets
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14 X users
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4 weibo users
facebook
1 Facebook page

Citations

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342 Dimensions

Readers on

mendeley
397 Mendeley
citeulike
1 CiteULike
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Title
Huntingtin functions as a scaffold for selective macroautophagy
Published in
Nature Cell Biology, February 2015
DOI 10.1038/ncb3101
Pubmed ID
Authors

Yan-Ning Rui, Zhen Xu, Bindi Patel, Zhihua Chen, Dongsheng Chen, Antonio Tito, Gabriela David, Yamin Sun, Erin F. Stimming, Hugo J. Bellen, Ana Maria Cuervo, Sheng Zhang

Abstract

Selective macroautophagy is an important protective mechanism against diverse cellular stresses. In contrast to the well-characterized starvation-induced autophagy, the regulation of selective autophagy is largely unknown. Here, we demonstrate that Huntingtin, the Huntington disease gene product, functions as a scaffold protein for selective macroautophagy but it is dispensable for non-selective macroautophagy. In Drosophila, Huntingtin genetically interacts with autophagy pathway components. In mammalian cells, Huntingtin physically interacts with the autophagy cargo receptor p62 to facilitate its association with the integral autophagosome component LC3 and with Lys-63-linked ubiquitin-modified substrates. Maximal activation of selective autophagy during stress is attained by the ability of Huntingtin to bind ULK1, a kinase that initiates autophagy, which releases ULK1 from negative regulation by mTOR. Our data uncover an important physiological function of Huntingtin and provide a missing link in the activation of selective macroautophagy in metazoans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 397 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
Austria 2 <1%
United States 2 <1%
France 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Belgium 1 <1%
Poland 1 <1%
Unknown 385 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 104 26%
Researcher 67 17%
Student > Master 58 15%
Student > Bachelor 40 10%
Student > Postgraduate 14 4%
Other 45 11%
Unknown 69 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 120 30%
Biochemistry, Genetics and Molecular Biology 86 22%
Neuroscience 63 16%
Medicine and Dentistry 20 5%
Pharmacology, Toxicology and Pharmaceutical Science 10 3%
Other 18 5%
Unknown 80 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 26 July 2016.
All research outputs
#1,394,153
of 26,017,215 outputs
Outputs from Nature Cell Biology
#800
of 4,184 outputs
Outputs of similar age
#17,094
of 275,003 outputs
Outputs of similar age from Nature Cell Biology
#18
of 53 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,184 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has done well, scoring higher than 80% 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 275,003 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 93% of its contemporaries.
We're also able to compare this research output to 53 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 66% of its contemporaries.