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Optimized deep-targeted proteotranscriptomic profiling reveals unexplored Conus toxin diversity and novel cysteine frameworks

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, July 2015
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
9 X users
googleplus
2 Google+ users

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
105 Mendeley
citeulike
1 CiteULike
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Title
Optimized deep-targeted proteotranscriptomic profiling reveals unexplored Conus toxin diversity and novel cysteine frameworks
Published in
Proceedings of the National Academy of Sciences of the United States of America, July 2015
DOI 10.1073/pnas.1501334112
Pubmed ID
Authors

Vincent Lavergne, Ivon Harliwong, Alun Jones, David Miller, Ryan J. Taft, Paul F. Alewood

Abstract

Cone snails are predatory marine gastropods characterized by a sophisticated venom apparatus responsible for the biosynthesis and delivery of complex mixtures of cysteine-rich toxin peptides. These conotoxins fold into small highly structured frameworks, allowing them to potently and selectively interact with heterologous ion channels and receptors. Approximately 2,000 toxins from an estimated number of >70,000 bioactive peptides have been identified in the genus Conus to date. Here, we describe a high-resolution interrogation of the transcriptomes (available at www.ddbj.nig.ac.jp) and proteomes of the diverse compartments of the Conus episcopatus venom apparatus. Using biochemical and bioinformatic tools, we found the highest number of conopeptides yet discovered in a single Conus specimen, with 3,305 novel precursor toxin sequences classified into 9 known superfamilies (A, I1, I2, M, O1, O2, S, T, Z), and identified 16 new superfamilies showing unique signal peptide signatures. We were also able to depict the largest population of venom peptides containing the pharmacologically active C-C-CC-C-C inhibitor cystine knot and CC-C-C motifs (168 and 44 toxins, respectively), as well as 208 new conotoxins displaying odd numbers of cysteine residues derived from known conotoxin motifs. Importantly, six novel cysteine-rich frameworks were revealed which may have novel pharmacology. Finally, analyses of codon usage bias and RNA-editing processes of the conotoxin transcripts demonstrate a specific conservation of the cysteine skeleton at the nucleic acid level and provide new insights about the origin of sequence hypervariablity in mature toxin regions.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Spain 1 <1%
Unknown 103 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 18%
Student > Master 18 17%
Student > Bachelor 16 15%
Student > Ph. D. Student 12 11%
Student > Doctoral Student 7 7%
Other 19 18%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 32%
Biochemistry, Genetics and Molecular Biology 27 26%
Chemistry 9 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Medicine and Dentistry 4 4%
Other 7 7%
Unknown 20 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 70. 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 06 October 2018.
All research outputs
#579,886
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#10,105
of 101,438 outputs
Outputs of similar age
#6,478
of 267,376 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#125
of 917 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done particularly well, scoring higher than 90% 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 267,376 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 917 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.