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Ultraviolet radiation damages self noncoding RNA and is detected by TLR3

Overview of attention for article published in Nature Medicine, July 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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Readers on

mendeley
359 Mendeley
citeulike
1 CiteULike
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Article details
Title
Ultraviolet radiation damages self noncoding RNA and is detected by TLR3
Published in
Nature Medicine, July 2012
DOI 10.1038/nm.2861
Pubmed ID
Authors
Abstract

Exposure to ultraviolet B (UVB) radiation from the sun can result in sunburn, premature aging and carcinogenesis, but the mechanism responsible for acute inflammation of the skin is not well understood. Here we show that RNA is released from keratinocytes after UVB exposure and that this stimulates production of the inflammatory cytokines tumor necrosis factor α (TNF-α) and interleukin-6 (IL-6) from nonirradiated keratinocytes and peripheral blood mononuclear cells (PBMCs). Whole-transcriptome sequencing revealed that UVB irradiation of keratinocytes induced alterations in the double-stranded domains of some noncoding RNAs. We found that this UVB-damaged RNA was sufficient to induce cytokine production from nonirradiated cells, as UVB irradiation of a purified noncoding RNA (U1 RNA) reproduced the same response as the one we observed to UVB-damaged keratinocytes. The responses to both UVB-damaged self-RNAs and UVB-damaged keratinocytes were dependent on Toll-like receptor 3 (TLR3) and Toll-like receptor adaptor molecule 1 (TRIF). In response to UVB exposure, Tlr3(-/-) mice did not upregulate TNF-α in the skin. Moreover, TLR3 was also necessary for UVB-radiation-induced immune suppression. These findings establish that UVB damage is detected by TLR3 and that self-RNA is a damage-associated molecular pattern that serves as an endogenous signal of solar injury.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 359 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 5 1%
United States 3 <1%
United Kingdom 2 <1%
Germany 2 <1%
Norway 1 <1%
Netherlands 1 <1%
Italy 1 <1%
France 1 <1%
Argentina 1 <1%
Other 0 0%
Unknown 342 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 80 22%
Student > Ph. D. Student 72 20%
Student > Master 32 9%
Professor 24 7%
Student > Doctoral Student 21 6%
Other 62 17%
Unknown 68 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 110 31%
Medicine and Dentistry 58 16%
Biochemistry, Genetics and Molecular Biology 46 13%
Immunology and Microbiology 31 9%
Chemistry 12 3%
Other 23 6%
Unknown 79 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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 30 April 2024.
All research outputs
#468,803
of 32,125,052 outputs
Outputs from Nature Medicine
#1,784
of 11,045 outputs
Outputs of similar age
#1,975
of 202,369 outputs
Outputs of similar age from Nature Medicine
#3
of 109 outputs
Altmetric has tracked 32,125,052 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 110.7. This one has done well, scoring higher than 83% 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 202,369 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 99% of its contemporaries.
We're also able to compare this research output to 109 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.