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Yeast surface display identifies a family of evasins from ticks with novel polyvalent CC chemokine-binding activities

Overview of attention for article published in Scientific Reports, June 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
12 news outlets
blogs
3 blogs
twitter
30 X users
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1 patent
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2 Facebook pages

Citations

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23 Dimensions

Readers on

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44 Mendeley
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Title
Yeast surface display identifies a family of evasins from ticks with novel polyvalent CC chemokine-binding activities
Published in
Scientific Reports, June 2017
DOI 10.1038/s41598-017-04378-1
Pubmed ID
Authors

Kamayani Singh, Graham Davies, Yara Alenazi, James R. O. Eaton, Akane Kawamura, Shoumo Bhattacharya

Abstract

Chemokines function via G-protein coupled receptors in a robust network to recruit immune cells to sites of inflammation. Due to the complexity of this network, targeting single chemokines or receptors has not been successful in inflammatory disease. Dog tick saliva contains polyvalent CC-chemokine binding peptides termed evasins 1 and 4, that efficiently disrupt the chemokine network in models of inflammatory disease. Here we develop yeast surface display as a tool for functionally identifying evasins, and use it to identify 10 novel polyvalent CC-chemokine binding evasin-like peptides from salivary transcriptomes of eight tick species in Rhipicephalus and Amblyomma genera. These evasins have unique binding profiles compared to evasins 1 and 4, targeting CCL2 and CCL13 in addition to other CC-chemokines. Evasin binding leads to neutralisation of chemokine function including that of complex chemokine mixtures, suggesting therapeutic efficacy in inflammatory disease. We propose that yeast surface display is a powerful approach to mine potential therapeutics from inter-species protein interactions that have arisen during evolution of parasitism in ticks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 25%
Student > Ph. D. Student 10 23%
Researcher 6 14%
Student > Bachelor 5 11%
Student > Doctoral Student 2 5%
Other 3 7%
Unknown 7 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 27%
Agricultural and Biological Sciences 7 16%
Pharmacology, Toxicology and Pharmaceutical Science 5 11%
Chemistry 4 9%
Veterinary Science and Veterinary Medicine 2 5%
Other 6 14%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 122. 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 21 February 2019.
All research outputs
#334,422
of 24,978,429 outputs
Outputs from Scientific Reports
#3,753
of 136,923 outputs
Outputs of similar age
#7,280
of 321,383 outputs
Outputs of similar age from Scientific Reports
#112
of 4,710 outputs
Altmetric has tracked 24,978,429 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 136,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done particularly well, scoring higher than 97% 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 321,383 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 97% of its contemporaries.
We're also able to compare this research output to 4,710 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.