Evidence map›Paper›PMID 31545805›Full record

ArticlePloS one2019

A combined strategy of neuropeptide prediction and tandem mass spectrometry identifies evolutionarily conserved ancient neuropeptides in the sea anemone Nematostella vectensis.

Eisuke Hayakawa, Hiroshi Watanabe, Gerben Menschaert, Thomas W Holstein, Geert Baggerman, Liliane Schoofs

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
12.9field-weighted citation impact, top 1% of its field
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

24 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
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  3. Aboral cell types ofScience advances · 2025
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  5. Review
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  7. Origins, Technological Advancement, and Applications of Peptidomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. Article
  9. On the origin of appetite: GLWamide in jellyfish represents an ancestral satiety neuropeptide.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Toxin-like neuropeptides in the sea anemoneProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Eisuke HayakawaResearch Group of Functional Genomics and Proteomics, KU Leuven, Leuven, Belgium.ORCID 0000-0003-1054-4266
Hiroshi WatanabeEvolutionary Neurobiology Unit, Okinawa Institute of Science & Technology, Okinawa, Japan.
Gerben MenschaertFaculty of Bioscience Engineering, Laboratory for Bioinformatics and Computational Genomics, Ghent University, Ghent, Belgium.
Thomas W HolsteinCentre for Organismal Studies (COS), Heidelberg University, Heidelberg, Germany.
Geert BaggermanCFP/Ceproma, University Antwerpen, Antwerpen, Belgium.
Liliane SchoofsResearch Group of Functional Genomics and Proteomics, KU Leuven, Leuven, Belgium.
Okinawa Institute of Science and Technology Graduate University · JPGhent University · BEHeidelberg University · DEKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuropeptides are a class of bioactive peptides shown to be involved in various physiological processes, including metabolism, development, and reproduction. Although neuropeptide candidates have been predicted from genomic and transcriptomic data, comprehensive characterization of neuropeptide repertoires remains a challenge owing to their small size and variable sequences. De novo prediction of neuropeptides from genome or transcriptome data is difficult and usually only efficient for those peptides that have identified orthologs in other animal species. Recent peptidomics technology has enabled systematic structural identification of neuropeptides by using the combination of liquid chromatography and tandem mass spectrometry. However, reliable identification of naturally occurring peptides using a conventional tandem mass spectrometry approach, scanning spectra against a protein database, remains difficult because a large search space must be scanned due to the absence of a cleavage enzyme specification. We developed a pipeline consisting of in silico prediction of candidate neuropeptides followed by peptide-spectrum matching. This approach enables highly sensitive and reliable neuropeptide identification, as the search space for peptide-spectrum matching is highly reduced. Nematostella vectensis is a basal eumetazoan with one of the most ancient nervous systems. We scanned the Nematostella protein database for sequences displaying structural hallmarks typical of eumetazoan neuropeptide precursors, including amino- and carboxyterminal motifs and associated modifications. Peptide-spectrum matching was performed against a dataset of peptides that are cleaved in silico from these putative peptide precursors. The dozens of newly identified neuropeptides display structural similarities to bilaterian neuropeptides including tachykinin, myoinhibitory peptide, and neuromedin-U/pyrokinin, suggesting these neuropeptides occurred in the eumetazoan ancestor of all animal species.

Indexed as

Evolution, MolecularTandem Mass SpectrometryAmino Acid SequenceAnimalsComputational BiologyConserved SequenceDatabases, GeneticGene ExpressionNeuropeptidesSea AnemonesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationNeuropeptides

Identifiers

PMID31545805
PMCPMC6756747
OpenAlexW2977061492

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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.