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Shiferaw GA, Vandermarliere E, Hulstaert N, Gabriels R, Martens L, Volders PJ. COSS: A Fast and User-Friendly Tool for Spectral Library Searching. J Proteome Res 2020; 19:2786-2793. [PMID: 32384242 DOI: 10.1021/acs.jproteome.9b00743] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Spectral similarity searching to identify peptide-derived MS/MS spectra is a promising technique, and different spectrum similarity search tools have therefore been developed. Each of these tools, however, comes with some limitations, mainly because of low processing speed and issues with handling large databases. Furthermore, the number of spectral data formats supported is typically limited, which also creates a threshold to adoption. We have therefore developed COSS (CompOmics Spectral Searching), a new and user-friendly spectral library search tool supporting two scoring functions. COSS also includes decoy spectra generation for result validation. We have benchmarked COSS on three different spectral libraries and compared the results with established spectral searching tools and a sequence database search tool. Our comparison showed that COSS more reliably identifies spectra, is capable of handling large data sets and libraries, and is an easy to use tool that can run on low computer specifications. COSS binaries and source code can be freely downloaded from https://github.com/compomics/COSS.
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Affiliation(s)
- Genet Abay Shiferaw
- VIB-UGent Center for Medical Biotechnology, VIB, 9000 Ghent, Belgium.,Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
| | - Elien Vandermarliere
- VIB-UGent Center for Medical Biotechnology, VIB, 9000 Ghent, Belgium.,Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
| | - Niels Hulstaert
- VIB-UGent Center for Medical Biotechnology, VIB, 9000 Ghent, Belgium.,Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
| | - Ralf Gabriels
- VIB-UGent Center for Medical Biotechnology, VIB, 9000 Ghent, Belgium.,Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
| | - Lennart Martens
- VIB-UGent Center for Medical Biotechnology, VIB, 9000 Ghent, Belgium.,Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium
| | - Pieter-Jan Volders
- VIB-UGent Center for Medical Biotechnology, VIB, 9000 Ghent, Belgium.,Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium.,Cancer Research Institute Ghent, Ghent University, 9000 Ghent, Belgium
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2
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Maes E, Oeyen E, Boonen K, Schildermans K, Mertens I, Pauwels P, Valkenborg D, Baggerman G. The challenges of peptidomics in complementing proteomics in a clinical context. MASS SPECTROMETRY REVIEWS 2019; 38:253-264. [PMID: 30372792 DOI: 10.1002/mas.21581] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Accepted: 10/01/2018] [Indexed: 06/08/2023]
Abstract
Naturally occurring peptides, including growth factors, hormones, and neurotransmitters, represent an important class of biomolecules and have crucial roles in human physiology. The study of these peptides in clinical samples is therefore as relevant as ever. Compared to more routine proteomics applications in clinical research, peptidomics research questions are more challenging and have special requirements with regard to sample handling, experimental design, and bioinformatics. In this review, we describe the issues that confront peptidomics in a clinical context. After these hurdles are (partially) overcome, peptidomics will be ready for a successful translation into medical practice.
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Affiliation(s)
- Evelyne Maes
- Flemish Institute for Technological Research (VITO), Mol, Belgium
- Centre for Proteomics, University of Antwerp, Antwerp, Belgium
- Food and Bio-Based Products, AgResearch Ltd., Lincoln, New Zealand
| | - Eline Oeyen
- Flemish Institute for Technological Research (VITO), Mol, Belgium
- Centre for Proteomics, University of Antwerp, Antwerp, Belgium
| | - Kurt Boonen
- Flemish Institute for Technological Research (VITO), Mol, Belgium
- Centre for Proteomics, University of Antwerp, Antwerp, Belgium
| | - Karin Schildermans
- Flemish Institute for Technological Research (VITO), Mol, Belgium
- Centre for Proteomics, University of Antwerp, Antwerp, Belgium
| | - Inge Mertens
- Flemish Institute for Technological Research (VITO), Mol, Belgium
- Centre for Proteomics, University of Antwerp, Antwerp, Belgium
| | - Patrick Pauwels
- Molecular Pathology Unit, Department of Pathology, Antwerp University Hospital, Edegem, Belgium
| | - Dirk Valkenborg
- Flemish Institute for Technological Research (VITO), Mol, Belgium
- Centre for Proteomics, University of Antwerp, Antwerp, Belgium
- Center for Statistics, Hasselt University, Diepenbeek, Belgium
| | - Geert Baggerman
- Flemish Institute for Technological Research (VITO), Mol, Belgium
- Centre for Proteomics, University of Antwerp, Antwerp, Belgium
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Secher A, Kelstrup CD, Conde-Frieboes KW, Pyke C, Raun K, Wulff BS, Olsen JV. Analytic framework for peptidomics applied to large-scale neuropeptide identification. Nat Commun 2016; 7:11436. [PMID: 27142507 PMCID: PMC4857386 DOI: 10.1038/ncomms11436] [Citation(s) in RCA: 83] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2015] [Accepted: 03/24/2016] [Indexed: 01/03/2023] Open
Abstract
Large-scale mass spectrometry-based peptidomics for drug discovery is relatively unexplored because of challenges in peptide degradation and identification following tissue extraction. Here we present a streamlined analytical pipeline for large-scale peptidomics. We developed an optimized sample preparation protocol to achieve fast, reproducible and effective extraction of endogenous peptides from sub-dissected organs such as the brain, while diminishing unspecific protease activity. Each peptidome sample was analysed by high-resolution tandem mass spectrometry and the resulting data set was integrated with publically available databases. We developed and applied an algorithm that reduces the peptide complexity for identification of biologically relevant peptides. The developed pipeline was applied to rat hypothalamus and identifies thousands of neuropeptides and their post-translational modifications, which is combined in a resource format for visualization, qualitative and quantitative analyses. Neuropeptide research is challenged by technical difficulties in identifying new bioactive peptides. Here the authors present an analytical pipeline for large-scale peptidomics applied to the rat hypothalamus, identifying thousands of endogenous neuropeptides and their post-translational modifications.
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Affiliation(s)
- Anna Secher
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3b, DK-2200 Copenhagen, Denmark.,Histology and Imaging, Novo Nordisk A/S, Novo Nordisk Park, DK-2760 Maaloev, Denmark
| | - Christian D Kelstrup
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3b, DK-2200 Copenhagen, Denmark
| | | | - Charles Pyke
- Histology and Imaging, Novo Nordisk A/S, Novo Nordisk Park, DK-2760 Maaloev, Denmark
| | - Kirsten Raun
- Incretin &Obesity Pharmacology, Novo Nordisk A/S, Novo Nordisk Park, DK-2760 Maaloev, Denmark
| | - Birgitte S Wulff
- Incretin &Obesity Research, Novo Nordisk A/S, Novo Nordisk Park, DK-2760 Maaloev, Denmark
| | - Jesper V Olsen
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3b, DK-2200 Copenhagen, Denmark
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4
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Next Generation Sequencing Data and Proteogenomics. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2016; 926:11-19. [DOI: 10.1007/978-3-319-42316-6_2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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De Haes W, Van Sinay E, Detienne G, Temmerman L, Schoofs L, Boonen K. Functional neuropeptidomics in invertebrates. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2014; 1854:812-26. [PMID: 25528324 DOI: 10.1016/j.bbapap.2014.12.011] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2014] [Revised: 11/27/2014] [Accepted: 12/10/2014] [Indexed: 10/24/2022]
Abstract
Neuropeptides are key messengers in almost all physiological processes. They originate from larger precursors and are extensively processed to become bioactive. Neuropeptidomics aims to comprehensively identify the collection of neuropeptides in an organism, organ, tissue or cell. The neuropeptidome of several invertebrates is thoroughly explored since they are important model organisms (and models for human diseases), disease vectors and pest species. The charting of the neuropeptidome is the first step towards understanding peptidergic signaling. This review will first discuss the latest developments in exploring the neuropeptidome. The physiological roles and modes of action of neuropeptides can be explored in two ways, which are largely orthogonal and therefore complementary. The first way consists of inferring the functions of neuropeptides by a forward approach where neuropeptide profiles are compared under different physiological conditions. Second is the reverse approach were neuropeptide collections are used to screen for receptor-binding. This is followed by localization studies and functional tests. This review will focus on how these different functional screening methods contributed to the field of invertebrate neuropeptidomics and expanded our knowledge of peptidergic signaling. This article is part of a Special Issue entitled: Neuroproteomics: Applications in Neuroscience and Neurology.
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Affiliation(s)
- Wouter De Haes
- Functional Genomics and Proteomics, Department of Biology, University of Leuven (KU Leuven), Naamsestraat 59, 3000 Leuven, Belgium
| | - Elien Van Sinay
- Functional Genomics and Proteomics, Department of Biology, University of Leuven (KU Leuven), Naamsestraat 59, 3000 Leuven, Belgium
| | - Giel Detienne
- Functional Genomics and Proteomics, Department of Biology, University of Leuven (KU Leuven), Naamsestraat 59, 3000 Leuven, Belgium
| | - Liesbet Temmerman
- Functional Genomics and Proteomics, Department of Biology, University of Leuven (KU Leuven), Naamsestraat 59, 3000 Leuven, Belgium
| | - Liliane Schoofs
- Functional Genomics and Proteomics, Department of Biology, University of Leuven (KU Leuven), Naamsestraat 59, 3000 Leuven, Belgium
| | - Kurt Boonen
- Functional Genomics and Proteomics, Department of Biology, University of Leuven (KU Leuven), Naamsestraat 59, 3000 Leuven, Belgium.
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