Evidence map›Paper›PMID 26150494›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

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

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

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. In Silico Conotoxin Studies: Progress and Prospects.Molecules (Basel, Switzerland) · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Isolation and characterization of five novel disulfide-poor conopeptides fromThe journal of venomous animals and toxins including tropical diseases · 2022
    Article
  17. Article
  18. Article
  19. Proteomic analysis of Red SeaThe journal of venomous animals and toxins including tropical diseases · 2021
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Vincent LavergneDivision of Chemistry and Structural Biology, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia;
Ivon HarliwongDivision of Genomics and Computational Biology, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
Alun JonesDivision of Chemistry and Structural Biology, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia;
David MillerDivision of Genomics and Computational Biology, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
Ryan J TaftDivision of Genomics and Computational Biology, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
Paul F AlewoodDivision of Chemistry and Structural Biology, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia; p.alewood@imb.uq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Gene Expression ProfilingProteomicsAmino Acid MotifsAmino Acid SequenceAnimalsAnimal StructuresChemical FractionationChromatography, High Pressure LiquidChromatography, Reverse-PhaseCodonConotoxinsConus SnailCysteineDNA, ComplementaryGene LibraryMolecular Sequence DataCodonConotoxinsCysteineDNA, ComplementaryPeptidesRNAbioinformaticconotoxincysteine-rich peptidesproteomictranscriptomic

Identifiers

PMID26150494
PMCPMC4517256

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.