Evidence map›Paper›PMID 38549024›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Identification and Targeted Quantification of Endogenous Neuropeptides in the Nematode Caenorhabditis elegans Using Mass Spectrometry.

Sven Van Bael, Christina Ludwig, Geert Baggerman, Liesbet Temmerman

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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Sven Van BaelDepartment of Biology, Animal Physiology & Neurobiology, University of Leuven (KU Leuven), Leuven, Belgium.
Christina LudwigBavarian Center for Biomolecular Mass Spectrometry (BayBioMS), Technical University of Munich (TUM), Freising, Germany.
Geert BaggermanCenter for Proteomics, University of Antwerp, Antwerp, Belgium.
Liesbet TemmermanDepartment of Biology, Animal Physiology & Neurobiology, University of Leuven (KU Leuven), Leuven, Belgium. Liesbet.Temmerman@kuleuven.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nematode Caenorhabditis elegans lends itself as an excellent model organism for peptidomics studies. Its ease of cultivation and quick generation time make it suitable for high-throughput studies. The nervous system, with its 302 neurons, is probably the best-known and studied endocrine tissue. Moreover, its neuropeptidergic signaling pathways display numerous similarities with those observed in other metazoans. Here, we describe two label-free approaches for neuropeptidomics in C. elegans: one for discovery purposes, and another for targeted quantification and comparisons of neuropeptide levels between different samples. Starting from a detailed peptide extraction procedure, we here outline the liquid chromatography tandem mass spectrometry (LC-MS/MS) setup and describe subsequent data analysis approaches.

Indexed as

NematodaNeuropeptidesAmino Acid SequenceAnimalsCaenorhabditis elegansChromatography, LiquidTandem Mass SpectrometryNeuropeptidesCaenorhabditis elegansData-dependent acquisitionflpFMRFamide-like peptideLabel-free quantificationLC-MS/MSMass spectrometryNeuropeptideNeuropeptide-like proteinnlpParallel reaction monitoringPeptidomics

Identifiers

PMID38549024

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.