ArticleProteomics2024
A crustacean neuropeptide spectral library for data-independent acquisition (DIA) mass spectrometry applications.
Article in Proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Top-Down Proteomics of Zebrafish Brain Regions Using Capillary Zone Electrophoresis-Tandem Mass Spectrometry.Journal of proteome research · 2026Article
- Global Profiling of Post-Translationally Modified Crustacean Neuropeptidome Trends Affiliated with Feeding Activity.Journal of the American Society for Mass Spectrometry · 2026Article
- Decoding Neuropeptide Complexity: Advancing Neurobiological Insights from Invertebrates to Vertebrates through Evolutionary Perspectives.ACS chemical neuroscience · 2025Review
- EndoGenius: Optimized Neuropeptide Identification from Mass Spectrometry Datasets.Journal of proteome research · 2024Article
- An Updated Guide to the Identification, Quantitation, and Imaging of the Crustacean Neuropeptidome.Methods in molecular biology (Clifton, N.J.) · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
Neuropeptides have tremendous potential for application in modern medicine, including utility as biomarkers and therapeutics. To overcome the inherent challenges associated with neuropeptide identification and characterization, data-independent acquisition (DIA) is a fitting mass spectrometry (MS) method of choice to achieve sensitive and accurate analysis. It is advantageous for preliminary neuropeptidomic studies to occur in less complex organisms, with crustacean models serving as a popular choice due to their relatively simple nervous system. With spectral libraries serving as a means to interpret DIA-MS output spectra, and Cancer borealis as a model of choice for neuropeptide analysis, we performed the first spectral library mapping of crustacean neuropeptides. Leveraging pre-existing data-dependent acquisition (DDA) spectra, a spectral library was built using PEAKS Online. The library is comprised of 333 unique neuropeptides. The identification results obtained through the use of this spectral library were compared with those achieved through library-free analysis of crustacean brain, pericardial organs (PO), and thoracic ganglia (TG) tissues. A statistically significant increase (Student's t-test, P value < 0.05) in the number of identifications achieved from the TG data was observed in the spectral library results. Furthermore, in each of the tissues, a distinctly different set of identifications was found in the library search compared to the library-free search. This work highlights the necessity for the use of spectral libraries in neuropeptide analysis, illustrating the advantage of spectral libraries for interpreting DIA spectra in a reproducible manner with greater neuropeptidomic depth.
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