ArticleAnalytical chemistry2019
Data Independent Acquisition Mass Spectrometry Method for Improved Neuropeptidomic Coverage in Crustacean Neural Tissue Extracts.
Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 37 citations in OpenAlex.
- Global Profiling of Post-Translationally Modified Crustacean Neuropeptidome Trends Affiliated with Feeding Activity.Journal of the American Society for Mass Spectrometry · 2026Article
- DeepSecMS Advances DIA-Based Selenoproteome Profiling Through Cys-to-Sec Proxy Training.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Neuropeptide Characterization Workflow from Sampling to Data-Independent Acquisition Mass Spectrometry.Journal of visualized experiments : JoVE · 2025Article
- Decoding Neuropeptide Complexity: Advancing Neurobiological Insights from Invertebrates to Vertebrates through Evolutionary Perspectives.ACS chemical neuroscience · 2025Review
- Regulation of granin neuropeptide gene expression in human brain during development.Frontiers in molecular neuroscience · 2025Article
- A crustacean neuropeptide spectral library for data-independent acquisition (DIA) mass spectrometry applications.Proteomics · 2024Article
- The subcommissural organ regulates brain development via secreted peptides.Nature neuroscience · 2024Article
- Article
- The subcommissural organ regulates brain development via secreted peptides.bioRxiv : the preprint server for biology · 2024Article
- An Updated Guide to the Identification, Quantitation, and Imaging of the Crustacean Neuropeptidome.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Recent advances in characterization of citrullination and its implication in human disease research: From method development to network integration.Proteomics · 2023Review
- Definitive Screening Designs to Optimize Library-Free DIA-MS Identification and Quantification of Neuropeptides.Journal of proteome research · 2023Article
- Recent advances in mass spectrometry analysis of neuropeptides.Mass spectrometry reviews · 2023Review
- HyPep: An Open-Source Software for Identification and Discovery of Neuropeptides Using Sequence Homology Search.Journal of proteome research · 2023Article
- Mass spectrometry profiling and quantitation of changes in circulating hormones secreted over time in Cancer borealis hemolymph due to feeding behavior.Analytical and bioanalytical chemistry · 2022Article
- Multiplexed quantitative neuropeptidomics via DiLeu isobaric tagging.Methods in enzymology · 2022Article
- Recent Developments and Applications of Quantitative Proteomics Strategies for High-Throughput Biomolecular Analyses in Cancer Research.RSC chemical biology · 2021Article
- Developing mass spectrometry for the quantitative analysis of neuropeptides.Expert review of proteomics · 2021Review
- Targeted Top-Down Mass Spectrometry for the Characterization and Tissue-Specific Functional Discovery of Crustacean Hyperglycemic Hormones (CHH) and CHH Precursor-Related Peptides in Response to Low pH Stress.Journal of the American Society for Mass Spectrometry · 2021Article
- Mass Spectrometry Quantification, Localization, and Discovery of Feeding-Related Neuropeptides inACS chemical neuroscience · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Neuropeptides are an important class of signaling molecules in the nervous and neuroendocrine system, but they are challenging to study due to their low concentration in vivo in the presence of numerous interfering artifacts. Often the limitation of mass spectrometry analyses of neuropeptides in complex tissue extracts is not due to neuropeptides being below the detection limit but due to ions not being selected for tandem mass spectrometry during the liquid chromatography elution time and therefore not being identified. In this study, a data independent acquisition (DIA) method was developed to improve the coverage of neuropeptides in neural tissue from the model organism C. borealis. The optimal mass-to-charge ratio range and isolation window were determined and subsequently used to detect more neuropeptides in extracts from the brain and pericardial organs than the conventional data dependent acquisition method. The DIA method led to the detection of almost twice as many neuropeptides in the brain and approximately 1.5-fold more neuropeptides in the pericardial organs. The technical and biological reproducibility were also explored and found to be improved over the original method, with 56% of neuropeptides detected in 3 out of 3 replicate injections and 62% in 3 out of 3 biological replicates. Furthermore, 68 putative novel neuropeptides were detected and identified with de novo sequencing. The quantitative accuracy of the method was also explored. The developed method is anticipated to be useful for gaining a deeper profiling of neuropeptides, especially those in low abundance, in a variety of sample types.
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