↓ Skip to main content

Large-scale discovery of conopeptides and conoproteins in the injectable venom of a fish-hunting cone snail using a combined proteomic and transcriptomic approach

Overview of attention for article published in Journal of Proteomics, June 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
79 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Large-scale discovery of conopeptides and conoproteins in the injectable venom of a fish-hunting cone snail using a combined proteomic and transcriptomic approach
Published in
Journal of Proteomics, June 2012
DOI 10.1016/j.jprot.2012.06.001
Pubmed ID
Authors

Aude Violette, Daniel Biass, Sébastien Dutertre, Dominique Koua, David Piquemal, Fabien Pierrat, Reto Stöcklin, Philippe Favreau

Abstract

Predatory marine snails of the genus Conus use venom containing a complex mixture of bioactive peptides to subdue their prey. Here we report on a comprehensive analysis of the protein content of injectable venom from Conus consors, an indo-pacific fish-hunting cone snail. By matching MS/MS data against an extensive set of venom gland transcriptomic mRNA sequences, we identified 105 components out of ~400 molecular masses detected in the venom. Among them, we described new conotoxins belonging to the A, M- and O1-superfamilies as well as a novel superfamily of disulphide free conopeptides. A high proportion of the deduced sequences (36%) corresponded to propeptide regions of the A- and M-superfamilies, raising the question of their putative role in injectable venom. Enzymatic digestion of higher molecular mass components allowed the identification of new conkunitzins (~7 kDa) and two proteins in the 25 and 50 kDa molecular mass ranges respectively characterised as actinoporin-like and hyaluronidase-like protein. These results provide the most exhaustive and accurate proteomic overview of an injectable cone snail venom to date, and delineate the major protein families present in the delivered venom. This study demonstrates the feasibility of this analytical approach and paves the way for transcriptomics-assisted strategies in drug discovery.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 1%
Spain 1 1%
Estonia 1 1%
Unknown 74 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 16%
Student > Bachelor 13 16%
Student > Ph. D. Student 12 15%
Student > Master 10 13%
Professor 5 6%
Other 17 22%
Unknown 9 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 35%
Biochemistry, Genetics and Molecular Biology 16 20%
Chemistry 5 6%
Neuroscience 3 4%
Immunology and Microbiology 2 3%
Other 15 19%
Unknown 10 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 June 2012.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Journal of Proteomics
#2,625
of 3,461 outputs
Outputs of similar age
#141,742
of 181,062 outputs
Outputs of similar age from Journal of Proteomics
#44
of 61 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,461 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 181,062 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.