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STING manifests self DNA-dependent inflammatory disease

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, November 2012
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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 (82nd percentile)

Mentioned by

news
2 news outlets
twitter
2 X users
patent
23 patents
reddit
1 Redditor

Readers on

mendeley
343 Mendeley
citeulike
1 CiteULike
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Article details
Title
STING manifests self DNA-dependent inflammatory disease
Published in
Proceedings of the National Academy of Sciences of the United States of America, November 2012
DOI 10.1073/pnas.1215006109
Pubmed ID
Authors
Abstract

Inflammatory autoimmune diseases such as systemic lupus erythematosus (SLE) and polyarthritis are characterized by chronic cytokine overproduction, suggesting that the stimulation of host innate immune responses, speculatively by persistent infection or self nucleic acids, plays a role in the manifestation of these disorders. Mice lacking DNase II die during embryonic development through comparable inflammatory disease because phagocytosed DNA from apoptotic cells cannot be adequately digested and intracellular host DNA sensor pathways are engaged, resulting in the production of a variety of cytokines including type I IFN. The cellular sensor pathway(s) responsible for triggering DNA-mediated inflammation aggravated autoimmune disease remains to be determined. However, we report here that Stimulator of IFN Genes (STING) is responsible for inflammation-related embryonic death in DNase II defective mice initiated by self DNA. DNase II-dependent embryonic lethality was rescued by loss of STING function, and polyarthritis completely prevented because cytosolic DNA failed to robustly trigger cytokine production through STING-controlled signaling pathways. Our data provides significant molecular insight into the causes of DNA-mediated inflammatory disorders and affords a target that could plausibly be therapeutically controlled to help prevent such diseases.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 343 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Japan 2 <1%
France 2 <1%
United States 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Unknown 335 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 81 24%
Researcher 62 18%
Student > Master 39 11%
Student > Bachelor 26 8%
Student > Doctoral Student 13 4%
Other 41 12%
Unknown 81 24%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 77 22%
Biochemistry, Genetics and Molecular Biology 63 18%
Immunology and Microbiology 42 12%
Medicine and Dentistry 31 9%
Chemistry 12 3%
Other 30 9%
Unknown 88 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 07 October 2025.
All research outputs
#1,689,026
of 34,358,242 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#22,031
of 118,929 outputs
Outputs of similar age
#9,336
of 240,070 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#166
of 937 outputs
Altmetric has tracked 34,358,242 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 118,929 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one has done well, scoring higher than 81% 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 240,070 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 937 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.