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Deep Venomics Reveals the Mechanism for Expanded Peptide Diversity in Cone Snail Venom*

Overview of attention for article published in Molecular and Cellular Proteomics, November 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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1 news outlet
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1 X user

Citations

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184 Dimensions

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145 Mendeley
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2 CiteULike
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Title
Deep Venomics Reveals the Mechanism for Expanded Peptide Diversity in Cone Snail Venom*
Published in
Molecular and Cellular Proteomics, November 2012
DOI 10.1074/mcp.m112.021469
Pubmed ID
Authors

Sébastien Dutertre, Ai-hua Jin, Quentin Kaas, Alun Jones, Paul F. Alewood, Richard J. Lewis

Abstract

Cone snails produce highly complex venom comprising mostly small biologically active peptides known as conotoxins or conopeptides. Early estimates that suggested 50-200 venom peptides are produced per species have been recently increased at least 10-fold using advanced mass spectrometry. To uncover the mechanism(s) responsible for generating this impressive diversity, we used an integrated approach combining second-generation transcriptome sequencing with high sensitivity proteomics. From the venom gland transcriptome of Conus marmoreus, a total of 105 conopeptide precursor sequences from 13 gene superfamilies were identified. Over 60% of these precursors belonged to the three gene superfamilies O1, T, and M, consistent with their high levels of expression, which suggests these conotoxins play an important role in prey capture and/or defense. Seven gene superfamilies not previously identified in C. marmoreus, including five novel superfamilies, were also discovered. To confirm the expression of toxins identified at the transcript level, the injected venom of C. marmoreus was comprehensively analyzed by mass spectrometry, revealing 2710 and 3172 peptides using MALDI and ESI-MS, respectively, and 6254 peptides using an ESI-MS TripleTOF 5600 instrument. All conopeptides derived from transcriptomic sequences could be matched to masses obtained on the TripleTOF within 100 ppm accuracy, with 66 (63%) providing MS/MS coverage that unambiguously confirmed these matches. Comprehensive integration of transcriptomic and proteomic data revealed for the first time that the vast majority of the conopeptide diversity arises from a more limited set of genes through a process of variable peptide processing, which generates conopeptides with alternative cleavage sites, heterogeneous post-translational modifications, and highly variable N- and C-terminal truncations. Variable peptide processing is expected to contribute to the evolution of venoms, and explains how a limited set of ∼ 100 gene transcripts can generate thousands of conopeptides in a single species of cone snail.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Spain 1 <1%
Philippines 1 <1%
Estonia 1 <1%
Unknown 140 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 21%
Student > Ph. D. Student 19 13%
Researcher 17 12%
Student > Bachelor 14 10%
Student > Doctoral Student 10 7%
Other 26 18%
Unknown 29 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 35%
Biochemistry, Genetics and Molecular Biology 26 18%
Chemistry 19 13%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Computer Science 2 1%
Other 11 8%
Unknown 32 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 26 April 2021.
All research outputs
#3,625,813
of 25,394,764 outputs
Outputs from Molecular and Cellular Proteomics
#672
of 3,221 outputs
Outputs of similar age
#25,882
of 192,645 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#5
of 56 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,221 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 79% 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 192,645 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 86% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.