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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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5 X users
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4 patents

Readers on

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49 Mendeley
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Article details
Title
A CC′ Loop Decoy Peptide Blocks the Interaction Between Act1 and IL-17RA to Attenuate IL-17– and IL-25–Induced Inflammation
Published in
Science Signaling, November 2011
DOI 10.1126/scisignal.2001843
Pubmed ID
Authors
Abstract

Interleukin-17 (IL-17) and IL-25 signaling induce the expression of genes encoding inflammatory factors and are implicated in the pathology of various inflammatory diseases. Nuclear factor κB (NF-κB) activator 1 (Act1) is an adaptor protein and E3 ubiquitin ligase that is critical for signaling by either IL-17 or IL-25, and it is recruited to their receptors (IL-17R and IL-25R) through heterotypic interactions between the SEFIR [SEF (similar expression to fibroblast growth factor genes) and IL-17R] domain of Act1 and that of the receptor. SEFIR domains have structural similarity with the Toll-IL-1 receptor (TIR) domains of Toll-like receptors and IL-1R. Whereas the BB' loop of TIR is required for TIR-TIR interactions, we found that deletion of the BB' loop from Act1 or IL-17RA (a common subunit of both IL-17R and IL-25R) did not affect Act1-IL-17RA interactions; rather, deletion of the CC' loop from Act1 or IL-17RA abolished the interaction between both proteins. Surface plasmon resonance measurements showed that a peptide corresponding to the CC' loop of Act1 bound directly to IL-17RA. A cell-permeable decoy peptide based on the CC' loop sequence inhibited IL-17- or IL-25-mediated signaling in vitro, as well as IL-17- and IL-25-induced pulmonary inflammation in mice. Together, these findings provide the molecular basis for the specificity of SEFIR-SEFIR versus TIR-TIR domain interactions and consequent signaling. Moreover, we suggest that the CC' loop motif of SEFIR domains is a promising target for therapeutic strategies against inflammatory diseases associated with IL-17 or IL-25 signaling.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 49 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 %
United States 2 4%
Japan 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 31%
Student > Ph. D. Student 6 12%
Other 3 6%
Student > Doctoral Student 3 6%
Professor 3 6%
Other 11 22%
Unknown 8 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 11 22%
Biochemistry, Genetics and Molecular Biology 9 18%
Medicine and Dentistry 9 18%
Immunology and Microbiology 5 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 4 8%
Unknown 9 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 June 2022.
All research outputs
#4,023,994
of 31,591,940 outputs
Outputs from Science Signaling
#1,269
of 3,559 outputs
Outputs of similar age
#20,649
of 179,589 outputs
Outputs of similar age from Science Signaling
#7
of 75 outputs
Altmetric has tracked 31,591,940 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,559 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.9. This one has gotten more attention than average, scoring higher than 64% 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 179,589 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 75 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 90% of its contemporaries.