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The Art of Destruction: Optimizing Collision Energies in Quadrupole-Time of Flight (Q-TOF) Instruments for Glycopeptide-Based Glycoproteomics

In-depth site-specific investigations of protein glycosylation are the basis for understanding the biological function of glycoproteins. Mass spectrometry-based N- and O-glycopeptide analyses enable determination of the glycosylation site, site occupancy, as well as glycan varieties present on a par...

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Autores principales: Hinneburg, Hannes, Stavenhagen, Kathrin, Schweiger-Hufnagel, Ulrike, Pengelley, Stuart, Jabs, Wolfgang, Seeberger, Peter H., Silva, Daniel Varón, Wuhrer, Manfred, Kolarich, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756043/
https://www.ncbi.nlm.nih.gov/pubmed/26729457
http://dx.doi.org/10.1007/s13361-015-1308-6
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author Hinneburg, Hannes
Stavenhagen, Kathrin
Schweiger-Hufnagel, Ulrike
Pengelley, Stuart
Jabs, Wolfgang
Seeberger, Peter H.
Silva, Daniel Varón
Wuhrer, Manfred
Kolarich, Daniel
author_facet Hinneburg, Hannes
Stavenhagen, Kathrin
Schweiger-Hufnagel, Ulrike
Pengelley, Stuart
Jabs, Wolfgang
Seeberger, Peter H.
Silva, Daniel Varón
Wuhrer, Manfred
Kolarich, Daniel
author_sort Hinneburg, Hannes
collection PubMed
description In-depth site-specific investigations of protein glycosylation are the basis for understanding the biological function of glycoproteins. Mass spectrometry-based N- and O-glycopeptide analyses enable determination of the glycosylation site, site occupancy, as well as glycan varieties present on a particular site. However, the depth of information is highly dependent on the applied analytical tools, including glycopeptide fragmentation regimes and automated data analysis. Here, we used a small set of synthetic disialylated, biantennary N-glycopeptides to systematically tune Q-TOF instrument parameters towards optimal energy stepping collision induced dissociation (CID) of glycopeptides. A linear dependency of m/z-ratio and optimal fragmentation energy was found, showing that with increasing m/z-ratio, more energy is required for glycopeptide fragmentation. Based on these optimized fragmentation parameters, a method combining lower- and higher-energy CID was developed, allowing the online acquisition of glycan and peptide-specific fragments within a single tandem MS experiment. We validated this method analyzing a set of human immunoglobulins (IgA1+2, sIgA, IgG1+2, IgE, IgD, IgM) as well as bovine fetuin. These optimized fragmentation parameters also enabled software-assisted glycopeptide assignment of both N- and O-glycopeptides including information about the most abundant glycan compositions, peptide sequence and putative structures. Twenty-six out of 30 N-glycopeptides and four out of five O-glycopeptides carrying >110 different glycoforms could be identified by this optimized LC-ESI tandem MS method with minimal user input. The Q-TOF based glycopeptide analysis platform presented here opens the way to a range of different applications in glycoproteomics research as well as biopharmaceutical development and quality control. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13361-015-1308-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-47560432016-02-26 The Art of Destruction: Optimizing Collision Energies in Quadrupole-Time of Flight (Q-TOF) Instruments for Glycopeptide-Based Glycoproteomics Hinneburg, Hannes Stavenhagen, Kathrin Schweiger-Hufnagel, Ulrike Pengelley, Stuart Jabs, Wolfgang Seeberger, Peter H. Silva, Daniel Varón Wuhrer, Manfred Kolarich, Daniel J Am Soc Mass Spectrom Research Article In-depth site-specific investigations of protein glycosylation are the basis for understanding the biological function of glycoproteins. Mass spectrometry-based N- and O-glycopeptide analyses enable determination of the glycosylation site, site occupancy, as well as glycan varieties present on a particular site. However, the depth of information is highly dependent on the applied analytical tools, including glycopeptide fragmentation regimes and automated data analysis. Here, we used a small set of synthetic disialylated, biantennary N-glycopeptides to systematically tune Q-TOF instrument parameters towards optimal energy stepping collision induced dissociation (CID) of glycopeptides. A linear dependency of m/z-ratio and optimal fragmentation energy was found, showing that with increasing m/z-ratio, more energy is required for glycopeptide fragmentation. Based on these optimized fragmentation parameters, a method combining lower- and higher-energy CID was developed, allowing the online acquisition of glycan and peptide-specific fragments within a single tandem MS experiment. We validated this method analyzing a set of human immunoglobulins (IgA1+2, sIgA, IgG1+2, IgE, IgD, IgM) as well as bovine fetuin. These optimized fragmentation parameters also enabled software-assisted glycopeptide assignment of both N- and O-glycopeptides including information about the most abundant glycan compositions, peptide sequence and putative structures. Twenty-six out of 30 N-glycopeptides and four out of five O-glycopeptides carrying >110 different glycoforms could be identified by this optimized LC-ESI tandem MS method with minimal user input. The Q-TOF based glycopeptide analysis platform presented here opens the way to a range of different applications in glycoproteomics research as well as biopharmaceutical development and quality control. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13361-015-1308-6) contains supplementary material, which is available to authorized users. Springer US 2016-01-04 2016 /pmc/articles/PMC4756043/ /pubmed/26729457 http://dx.doi.org/10.1007/s13361-015-1308-6 Text en © The Author(s) 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Hinneburg, Hannes
Stavenhagen, Kathrin
Schweiger-Hufnagel, Ulrike
Pengelley, Stuart
Jabs, Wolfgang
Seeberger, Peter H.
Silva, Daniel Varón
Wuhrer, Manfred
Kolarich, Daniel
The Art of Destruction: Optimizing Collision Energies in Quadrupole-Time of Flight (Q-TOF) Instruments for Glycopeptide-Based Glycoproteomics
title The Art of Destruction: Optimizing Collision Energies in Quadrupole-Time of Flight (Q-TOF) Instruments for Glycopeptide-Based Glycoproteomics
title_full The Art of Destruction: Optimizing Collision Energies in Quadrupole-Time of Flight (Q-TOF) Instruments for Glycopeptide-Based Glycoproteomics
title_fullStr The Art of Destruction: Optimizing Collision Energies in Quadrupole-Time of Flight (Q-TOF) Instruments for Glycopeptide-Based Glycoproteomics
title_full_unstemmed The Art of Destruction: Optimizing Collision Energies in Quadrupole-Time of Flight (Q-TOF) Instruments for Glycopeptide-Based Glycoproteomics
title_short The Art of Destruction: Optimizing Collision Energies in Quadrupole-Time of Flight (Q-TOF) Instruments for Glycopeptide-Based Glycoproteomics
title_sort art of destruction: optimizing collision energies in quadrupole-time of flight (q-tof) instruments for glycopeptide-based glycoproteomics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756043/
https://www.ncbi.nlm.nih.gov/pubmed/26729457
http://dx.doi.org/10.1007/s13361-015-1308-6
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