ArticleJournal of proteomics2013
A multi-scale strategy for discovery of novel endogenous neuropeptides in the crustacean nervous system.
Article in Journal of proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 36 citations in OpenAlex.
- 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
- Exploring the Sexual Dimorphism of Crustacean Neuropeptide Expression UsingJournal of proteome research · 2021Article
- Mass Spectrometric Profiling of Neuropeptides inACS chemical neuroscience · 2020Article
- Signature-Ion-Triggered Mass Spectrometry Approach Enabled Discovery of N- and O-Linked Glycosylated Neuropeptides in the Crustacean Nervous System.Journal of proteome research · 2020Article
- Identification of putative neuropeptidergic signaling systems in the spiny lobster, Panulirus argus.Invertebrate neuroscience : IN · 2020Article
- A microanalytical capillary electrophoresis mass spectrometry assay for quantifying angiotensin peptides in the brain.Analytical and bioanalytical chemistry · 2019Article
- Data Independent Acquisition Mass Spectrometry Method for Improved Neuropeptidomic Coverage in Crustacean Neural Tissue Extracts.Analytical chemistry · 2019Article
- New techniques, applications and perspectives in neuropeptide research.The Journal of experimental biology · 2018Review
- Neuropeptidomics: Mass Spectrometry-Based Identification and Quantitation of Neuropeptides.Genomics & informatics · 2016Review
- ASAP: a machine learning framework for local protein properties.Database : the journal of biological databases and curation · 2016Article
- Peptidomics of Neuropeptidergic Tissues of the Tsetse Fly Glossina morsitans morsitans.Journal of the American Society for Mass Spectrometry · 2015Article
- Defining the Neuropeptidome of the Spiny Lobster Panulirus interruptus Brain Using a Multidimensional Mass Spectrometry-Based Platform.Journal of proteome research · 2015Article
- Peptidomics for the discovery and characterization of neuropeptides and hormones.Trends in pharmacological sciences · 2015Review
- Mass spectrometric analysis of spatio-temporal dynamics of crustacean neuropeptides.Biochimica et biophysica acta · 2015Review
- Mass spectrometric measurement of neuropeptide secretion in the crab, Cancer borealis, by in vivo microdialysis.The Analyst · 2015Article
- Advances in Mass Spectrometric Tools for Probing Neuropeptides.Annual review of analytical chemistry (Palo Alto, Calif.) · 2015Review
- Article
- Identification of best indicators of peptide-spectrum match using a permutation resampling approach.Journal of bioinformatics and computational biology · 2014Article
- Qualitative and quantitative top-down mass spectral analysis of crustacean hyperglycemic hormones in response to feeding.Proteomics · 2014Article
- Site-specific characterization of (D)-amino acid containing peptide epimers by ion mobility spectrometry.Analytical chemistry · 2014Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
The conventional mass spectrometry (MS)-based strategy is often inadequate for the comprehensive characterization of various size neuropeptides without the assistance of genomic information. This study evaluated sequence coverage of different size neuropeptides in two crustacean species, blue crab Callinectes sapidus and Jonah crab Cancer borealis using conventional MS methodologies and revealed limitations to mid- and large-size peptide analysis. Herein we attempt to establish a multi-scale strategy for simultaneous and confident sequence elucidation of various sizes of peptides in the crustacean nervous system. Nine novel neuropeptides spanning a wide range of molecular weights (0.9-8.2kDa) were fully sequenced from a major neuroendocrine organ, the sinus gland of the spiny lobster Panulirus interruptus. These novel neuropeptides included seven allatostatin (A- and B-type) peptides, one crustacean hyperglycemic hormone precursor-related peptide, and one crustacean hyperglycemic hormone. Highly accurate multi-scale characterization of a collection of varied size neuropeptides was achieved by integrating traditional data-dependent tandem MS, improved bottom-up sequencing, multiple fragmentation technique-enabled top-down sequencing, chemical derivatization, and in silico homology search. Collectively, the ability to characterize a neuropeptidome with vastly differing molecule sizes from a neural tissue extract could find great utility in unraveling complex signaling peptide mixtures employed by other biological systems. BIOLOGICAL SIGNIFICANCE: Mass spectrometry (MS)-based neuropeptidomics aims to completely characterize the neuropeptides in a target organism as an important first step toward a better understanding of the structure and function of these complex signaling molecules. Although liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) with data-dependent acquisition is a powerful tool in peptidomic research, it often lacks the capability for de novo sequencing of mid-size and large peptides due to inefficient fragmentation of peptides larger than 4kDa. This study describes a multi-scale strategy for complete and confident sequence elucidation of various sizes of neuropeptides in the crustacean nervous system. The aim is to fill a technical gap where the conventional strategy is inefficient for comprehensive characterization of a complex neuropeptidome without assistance of genomic information. Nine novel neuropeptides in a wide range of molecular weights (0.9-8.2kDa) were fully sequenced from a major neuroendocrine organ of the spiny lobster, P. interruptus. The resulting molecular information extracted from such multi-scale peptidomic analysis will greatly accelerate functional studies of these novel neuropeptides.
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