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Image-based genome-wide siRNA screen identifies selective autophagy factors

Overview of attention for article published in Nature, December 2011
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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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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7 X users
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2 patents
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1 Facebook page
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1 Wikipedia page
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1 research highlight platform

Citations

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426 Dimensions

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530 Mendeley
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Title
Image-based genome-wide siRNA screen identifies selective autophagy factors
Published in
Nature, December 2011
DOI 10.1038/nature10546
Pubmed ID
Authors

Anthony Orvedahl, Rhea Sumpter, Guanghua Xiao, Aylwin Ng, Zhongju Zou, Yi Tang, Masahiro Narimatsu, Christopher Gilpin, Qihua Sun, Michael Roth, Christian V. Forst, Jeffrey L. Wrana, Ying E. Zhang, Katherine Luby-Phelps, Ramnik J. Xavier, Yang Xie, Beth Levine

Abstract

Selective autophagy involves the recognition and targeting of specific cargo, such as damaged organelles, misfolded proteins, or invading pathogens for lysosomal destruction. Yeast genetic screens have identified proteins required for different forms of selective autophagy, including cytoplasm-to-vacuole targeting, pexophagy and mitophagy, and mammalian genetic screens have identified proteins required for autophagy regulation. However, there have been no systematic approaches to identify molecular determinants of selective autophagy in mammalian cells. Here, to identify mammalian genes required for selective autophagy, we performed a high-content, image-based, genome-wide small interfering RNA screen to detect genes required for the colocalization of Sindbis virus capsid protein with autophagolysosomes. We identified 141 candidate genes required for viral autophagy, which were enriched for cellular pathways related to messenger RNA processing, interferon signalling, vesicle trafficking, cytoskeletal motor function and metabolism. Ninety-six of these genes were also required for Parkin-mediated mitophagy, indicating that common molecular determinants may be involved in autophagic targeting of viral nucleocapsids and autophagic targeting of damaged mitochondria. Murine embryonic fibroblasts lacking one of these gene products, the C2-domain containing protein, SMURF1, are deficient in the autophagosomal targeting of Sindbis and herpes simplex viruses and in the clearance of damaged mitochondria. Moreover, SMURF1-deficient mice accumulate damaged mitochondria in the heart, brain and liver. Thus, our study identifies candidate determinants of selective autophagy, and defines SMURF1 as a newly recognized mediator of both viral autophagy and mitophagy.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 530 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 2%
Germany 5 <1%
United Kingdom 4 <1%
Switzerland 3 <1%
France 3 <1%
Japan 3 <1%
Netherlands 2 <1%
Spain 2 <1%
Canada 1 <1%
Other 4 <1%
Unknown 493 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 146 28%
Researcher 142 27%
Student > Master 42 8%
Professor > Associate Professor 31 6%
Student > Bachelor 26 5%
Other 74 14%
Unknown 69 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 254 48%
Biochemistry, Genetics and Molecular Biology 95 18%
Medicine and Dentistry 46 9%
Immunology and Microbiology 18 3%
Neuroscience 14 3%
Other 28 5%
Unknown 75 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 28 August 2020.
All research outputs
#2,320,171
of 22,655,397 outputs
Outputs from Nature
#43,384
of 90,591 outputs
Outputs of similar age
#18,181
of 240,195 outputs
Outputs of similar age from Nature
#563
of 926 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 90,591 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 99.1. This one has gotten more attention than average, scoring higher than 52% 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 240,195 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 926 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.