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SARS-Coronavirus Open Reading Frame-3a drives multimodal necrotic cell death

Overview of attention for article published in Cell Death & Disease, September 2018
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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3 news outlets
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4 X users
patent
1 patent
wikipedia
1 Wikipedia page

Citations

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202 Dimensions

Readers on

mendeley
198 Mendeley
Title
SARS-Coronavirus Open Reading Frame-3a drives multimodal necrotic cell death
Published in
Cell Death & Disease, September 2018
DOI 10.1038/s41419-018-0917-y
Pubmed ID
Authors

Yuan Yue, Neel R. Nabar, Chong-Shan Shi, Olena Kamenyeva, Xun Xiao, Il-Young Hwang, Min Wang, John H. Kehrl

Abstract

The molecular mechanisms underlying the severe lung pathology that occurs during SARS-CoV infections remain incompletely understood. The largest of the SARS-CoV accessory protein open reading frames (SARS 3a) oligomerizes, dynamically inserting into late endosomal, lysosomal, and trans-Golgi-network membranes. While previously implicated in a non-inflammatory apoptotic cell death pathway, here we extend the range of SARS 3a pathophysiologic targets by examining its effects on necrotic cell death pathways. We show that SARS 3a interacts with Receptor Interacting Protein 3 (Rip3), which augments the oligomerization of SARS 3a helping drive necrotic cell death. In addition, by inserting into lysosomal membranes SARS 3a triggers lysosomal damage and dysfunction. Consequently, Transcription Factor EB (TFEB) translocates to the nucleus increasing the transcription of autophagy- and lysosome-related genes. Finally, SARS 3a activates caspase-1 either directly or via an enhanced potassium efflux, which triggers NLRP3 inflammasome assembly. In summary, Rip3-mediated oligomerization of SARS 3a causes necrotic cell death, lysosomal damage, and caspase-1 activation-all likely contributing to the clinical manifestations of SARS-CoV infection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 198 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 15%
Researcher 28 14%
Student > Bachelor 19 10%
Student > Master 16 8%
Professor 10 5%
Other 32 16%
Unknown 63 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 53 27%
Medicine and Dentistry 20 10%
Immunology and Microbiology 17 9%
Agricultural and Biological Sciences 12 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Other 25 13%
Unknown 67 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 29 January 2024.
All research outputs
#1,176,973
of 25,387,668 outputs
Outputs from Cell Death & Disease
#102
of 7,328 outputs
Outputs of similar age
#24,717
of 345,374 outputs
Outputs of similar age from Cell Death & Disease
#6
of 218 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,328 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 98% 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 345,374 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 218 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.