1
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Di Marco F, Hipgrave Ederveen AL, van Schaick G, Moran AB, Domínguez-Vega E, Nicolardi S, Blöchl C, Koeleman CA, Danuser R, Al Kaabi A, Dotz V, Grijpstra J, Beurret M, Anish C, Wuhrer M. Comprehensive characterization of bacterial glycoconjugate vaccines by liquid chromatography - mass spectrometry. Carbohydr Polym 2024; 341:122327. [PMID: 38876725 DOI: 10.1016/j.carbpol.2024.122327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/22/2024] [Accepted: 05/25/2024] [Indexed: 06/16/2024]
Abstract
Bacterial pathogens can cause a broad range of infections with detrimental effects on health. Vaccine development is essential as multi-drug resistance in bacterial infections is a rising concern. Recombinantly produced proteins carrying O-antigen glycosylation are promising glycoconjugate vaccine candidates to prevent bacterial infections. However, methods for their comprehensive structural characterization are lacking. Here, we present a bottom-up approach for their site-specific characterization, detecting N-glycopeptides by nano reversed-phase liquid chromatography-mass spectrometry (RP-LC-MS). Glycopeptide analyses revealed information on partial site-occupancy and site-specific glycosylation heterogeneity and helped corroborate the polysaccharide structures and their modifications. Bottom-up analysis was complemented by intact glycoprotein analysis using nano RP-LC-MS allowing the fast visualization of the polysaccharide distribution in the intact glycoconjugate. At the glycopeptide level, the model glycoconjugates analyzed showed different repeat unit (RU) distributions that spanned from 1 to 21 RUs attached to each of the different glycosylation sites. Interestingly, the intact glycoprotein analysis displayed a RU distribution ranging from 1 to 28 RUs, showing the predominant species when the different glycopeptide distributions are combined in the intact glycoconjugate. The complete workflow based on LC-MS measurements allows detailed and comprehensive analysis of the glycosylation state of glycoconjugate vaccines.
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Affiliation(s)
- Fiammetta Di Marco
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Agnes L Hipgrave Ederveen
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Guusje van Schaick
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Alan B Moran
- Bacterial Vaccines Discovery and Early Development, Janssen Vaccines and Prevention B.V., Archimedesweg 4-6, 2333 CN Leiden, the Netherlands
| | - Elena Domínguez-Vega
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Simone Nicolardi
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Constantin Blöchl
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Carolien A Koeleman
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Renzo Danuser
- Janssen Vaccines AG (Branch of Cilag GmbH International), Rehhagstrasse 79, CH-3018 Bern, Switzerland
| | - Ali Al Kaabi
- Janssen Vaccines AG (Branch of Cilag GmbH International), Rehhagstrasse 79, CH-3018 Bern, Switzerland
| | - Viktoria Dotz
- Bacterial Vaccines Discovery and Early Development, Janssen Vaccines and Prevention B.V., Archimedesweg 4-6, 2333 CN Leiden, the Netherlands; BioTherapeutics Analytical Development, Janssen Biologics B.V., Einsteinweg 101, 2333 CB Leiden, the Netherlands
| | - Jan Grijpstra
- Bacterial Vaccines Discovery and Early Development, Janssen Vaccines and Prevention B.V., Archimedesweg 4-6, 2333 CN Leiden, the Netherlands
| | - Michel Beurret
- Bacterial Vaccines Discovery and Early Development, Janssen Vaccines and Prevention B.V., Archimedesweg 4-6, 2333 CN Leiden, the Netherlands
| | - Chakkumkal Anish
- Bacterial Vaccines Discovery and Early Development, Janssen Vaccines and Prevention B.V., Archimedesweg 4-6, 2333 CN Leiden, the Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands.
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2
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2021-2022. MASS SPECTROMETRY REVIEWS 2024. [PMID: 38925550 DOI: 10.1002/mas.21873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 06/28/2024]
Abstract
The use of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well-established technique and this review is the 12th update of the original article published in 1999 and brings coverage of the literature to the end of 2022. As with previous review, this review also includes a few papers that describe methods appropriate to analysis by MALDI, such as sample preparation, even though the ionization method is not MALDI. The review follows the same format as previous reviews. It is divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification and the use of computer software for structural identification. (2) Applications to various structural types such as oligo- and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals, and (3) other general areas such as medicine, industrial processes, natural products and glycan synthesis where MALDI is extensively used. Much of the material relating to applications is presented in tabular form. MALDI is still an ideal technique for carbohydrate analysis, particularly in its ability to produce single ions from each analyte and advancements in the technique and range of applications show little sign of diminishing.
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3
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Wang Y, Liu Y, Liu S, Cheng L, Liu X. Recent advances in N-glycan biomarker discovery among human diseases. Acta Biochim Biophys Sin (Shanghai) 2024. [PMID: 38910518 DOI: 10.3724/abbs.2024101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/25/2024] Open
Abstract
N-glycans play important roles in a variety of biological processes. In recent years, analytical technologies with high resolution and sensitivity have advanced exponentially, enabling analysts to investigate N-glycomic changes in different states. Specific glycan and glycosylation signatures have been identified in multiple diseases, including cancer, autoimmune diseases, nervous system disorders, and metabolic and cardiovascular diseases. These glycans demonstrate comparable or superior indicating capability in disease diagnosis and prognosis over routine biomarkers. Moreover, synchronous glycan alterations concurrent with disease initiation and progression provide novel insights into pathogenetic mechanisms and potential treatment targets. This review elucidates the biological significance of N-glycans, compares the existing glycomic technologies, and delineates the clinical performance of N-glycans across a range of diseases.
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Affiliation(s)
- Yi Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuanyuan Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Si Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Liming Cheng
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xin Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
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4
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Baerenfaenger M, Post MA, Zijlstra F, van Gool AJ, Lefeber DJ, Wessels HJCT. Maximizing Glycoproteomics Results through an Integrated Parallel Accumulation Serial Fragmentation Workflow. Anal Chem 2024; 96:8956-8964. [PMID: 38776126 PMCID: PMC11154686 DOI: 10.1021/acs.analchem.3c05874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 05/10/2024] [Accepted: 05/11/2024] [Indexed: 06/05/2024]
Abstract
Glycoproteins play important roles in numerous physiological processes and are often implicated in disease. Analysis of site-specific protein glycobiology through glycoproteomics has evolved rapidly in recent years thanks to hardware and software innovations. Particularly, the introduction of parallel accumulation serial fragmentation (PASEF) on hybrid trapped ion mobility time-of-flight mass spectrometry instruments combined deep proteome sequencing with separation of (near-)isobaric precursor ions or converging isotope envelopes through ion mobility separation. However, the reported use of PASEF in integrated glycoproteomics workflows to comprehensively capture the glycoproteome is still limited. To this end, we developed an integrated methodology using timsTOF Pro 2 to enhance N-glycopeptide identifications in complex mixtures. We systematically optimized the ion optics tuning, collision energies, mobility isolation width, and the use of dopant-enriched nitrogen gas (DEN). Thus, we obtained a marked increase in unique glycopeptide identification rates compared to standard proteomics settings, showcasing our results on a large set of glycopeptides. With short liquid chromatography gradients of 30 min, we increased the number of unique N-glycopeptide identifications in human plasma samples from around 100 identifications under standard proteomics conditions to up to 1500 with our optimized glycoproteomics approach, highlighting the need for tailored optimizations to obtain comprehensive data.
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Affiliation(s)
- Melissa Baerenfaenger
- Department
of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
- Division
of BioAnalytical Chemistry, AIMMS Amsterdam Institute of Molecular
and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, Netherlands
| | - Merel A. Post
- Department
of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
| | - Fokje Zijlstra
- Translational
Metabolic Laboratory, Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
| | - Alain J. van Gool
- Translational
Metabolic Laboratory, Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
| | - Dirk J. Lefeber
- Department
of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
- Translational
Metabolic Laboratory, Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
| | - Hans J. C. T. Wessels
- Translational
Metabolic Laboratory, Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
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5
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Liu C, Otsuka K, Kawai T. Recent advances in microscale separation techniques for glycome analysis. J Sep Sci 2024; 47:e2400170. [PMID: 38863084 DOI: 10.1002/jssc.202400170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/12/2024] [Accepted: 05/24/2024] [Indexed: 06/13/2024]
Abstract
The glycomic analysis holds significant appeal due to the diverse roles that glycans and glycoconjugates play, acting as modulators and mediators in cellular interactions, cell/organism structure, drugs, energy sources, glyconanomaterials, and more. The glycomic analysis relies on liquid-phase separation technologies for molecular purification, separation, and identification. As a miniaturized form of liquid-phase separation technology, microscale separation technologies offer various advantages such as environmental friendliness, high resolution, sensitivity, fast speed, and integration capabilities. For glycan analysis, microscale separation technologies are continuously evolving to address the increasing challenges in their unique manners. This review discusses the fundamentals and applications of microscale separation technologies for glycomic analysis. It covers liquid-phase separation technologies operating at scales generally less than 100 µm, including capillary electrophoresis, nanoflow liquid chromatography, and microchip electrophoresis. We will provide a brief overview of glycomic analysis and describe new strategies in microscale separation and their applications in glycan analysis from 2014 to 2023.
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Affiliation(s)
- Chenchen Liu
- Department of Chemistry, Faculty of Science, Kyushu University, Fukuoka, Japan
| | - Koji Otsuka
- Department of Material Chemistry, Graduate School of Engineering, Kyoto University, Kyoto, Japan
- Research Administration Center, Osaka Metropolitan University, Osaka, Japan
| | - Takayuki Kawai
- Department of Chemistry, Faculty of Science, Kyushu University, Fukuoka, Japan
- RIKEN Center for Biosystems Dynamics Research, Osaka, Japan
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6
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Safferthal M, Bechtella L, Zappe A, Vos GM, Pagel K. Labeling of Mucin-Type O-Glycans for Quantification Using Liquid Chromatography and Fluorescence Detection. ACS MEASUREMENT SCIENCE AU 2024; 4:223-230. [PMID: 38645579 PMCID: PMC11027200 DOI: 10.1021/acsmeasuresciau.3c00071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 04/23/2024]
Abstract
O-glycosylation is a common post-translational modification that is essential for the defensive properties of mucus barriers. Incomplete and altered O-glycosylation is often linked to severe diseases, such as cancer, cystic fibrosis, and chronic obstructive pulmonary disease. Originating from a nontemplate-driven biosynthesis, mucin-type O-glycan structures are very complex. They are often present as heterogeneous mixtures containing multiple isomers. Therefore, the analysis of complex O-glycan mixtures usually requires hyphenation of orthogonal techniques such as liquid chromatography (LC), ion mobility spectrometry, and mass spectrometry (MS). However, MS-based techniques are mainly qualitative. Moreover, LC separation of O-glycans often lacks reproducibility and requires sophisticated data treatment and analysis. Here we present a mucin-type O-glycomics analysis workflow that utilizes hydrophilic interaction liquid chromatography for separation and fluorescence labeling for detection and quantification. In combination with mass spectrometry, a detailed analysis on the relative abundance of specific mucin-type O-glycan compositions and features, such as fucose, sialic acids, and sulfates, is performed. Furthermore, the average number of monosaccharide units of O-glycans in different samples was determined. To demonstrate universal applicability, the method was tested on mucins from different tissue types and mammals, such as bovine submaxillary mucins, porcine gastric mucins, and human milk mucins. To account for day-to-day retention time shifts in O-glycan separations and increase the comparability between different instruments and laboratories, we included fluorescently labeled dextran ladders in our workflow. In addition, we set up a library of glucose unit values for all identified O-glycans, which can be used to simplify the identification process of glycans in future analyses.
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Affiliation(s)
- Marc Safferthal
- Fritz
Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195 Berlin, Germany
- Department
of Biology, Chemistry, Pharmacy, Freie Universität
Berlin, Altensteinstraße
23a, 14195 Berlin, Germany
| | - Leïla Bechtella
- Fritz
Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195 Berlin, Germany
- Department
of Biology, Chemistry, Pharmacy, Freie Universität
Berlin, Altensteinstraße
23a, 14195 Berlin, Germany
| | - Andreas Zappe
- Fritz
Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195 Berlin, Germany
- Department
of Biology, Chemistry, Pharmacy, Freie Universität
Berlin, Altensteinstraße
23a, 14195 Berlin, Germany
| | - Gaël M. Vos
- Fritz
Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195 Berlin, Germany
- Department
of Biology, Chemistry, Pharmacy, Freie Universität
Berlin, Altensteinstraße
23a, 14195 Berlin, Germany
| | - Kevin Pagel
- Fritz
Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195 Berlin, Germany
- Department
of Biology, Chemistry, Pharmacy, Freie Universität
Berlin, Altensteinstraße
23a, 14195 Berlin, Germany
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7
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Di Marco F, Blöchl C, Esser-Skala W, Schäpertöns V, Zhang T, Wuhrer M, Sandra K, Wohlschlager T, Huber CG. Glycoproteomics of a Single Protein: Revealing Tens of Thousands of Myozyme Glycoforms by Hybrid HPLC-MS Approaches. Mol Cell Proteomics 2023; 22:100622. [PMID: 37478974 PMCID: PMC10470421 DOI: 10.1016/j.mcpro.2023.100622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 06/27/2023] [Accepted: 07/17/2023] [Indexed: 07/23/2023] Open
Abstract
Characterization of highly glycosylated biopharma-ceuticals by mass spectrometry is challenging because of the huge chemical space of coexistent glycoforms present. Here, we report the use of an array of HPLC-mass spectrometry-based approaches at different structural levels of released glycan, glycopeptide, and hitherto unexplored intact glycoforms to scrutinize the biopharmaceutical Myozyme, containing the highly complex lysosomal enzyme recombinant acid α-glucosidase. The intrinsic heterogeneity of recombinant acid α-glucosidase glycoforms was unraveled using a novel strong anion exchange HPLC-mass spectrometry approach involving a pH-gradient of volatile buffers to facilitate chromatographic separation of glycoforms based on their degree of sialylation, followed by the acquisition of native mass spectra in an Orbitrap mass spectrometer. Upon considering the structures of 60 different glycans attached to seven glycosylation sites in the intact protein, the large set of interdependent data acquired at different structural levels was integrated using a set of bioinformatic tools and allowed the annotation of intact glycoforms unraveling more than 1,000,000 putative intact glycoforms. Detectable isoforms also included several mannose-6-phosphate variants, which are essential for directing the drug toward its target, the lysosomes. Finally, for the first time, we sought to validate the intact glycoform annotations by integrating experimental data on the enzymatically dissected proteoforms, which reduced the number of glycoforms supported by experimental evidence to 42,104. The latter verification clearly revealed the strengths but also intrinsic limitations of this approach for fully characterizing such highly complex glycoproteins by mass spectrometry.
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Affiliation(s)
- Fiammetta Di Marco
- Department of Biosciences and Medical Biology, Bioanalytical Research Labs, University of Salzburg, Salzburg, Austria; Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Salzburg, Austria
| | - Constantin Blöchl
- Department of Biosciences and Medical Biology, Bioanalytical Research Labs, University of Salzburg, Salzburg, Austria; Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Wolfgang Esser-Skala
- Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Salzburg, Austria; Department of Biosciences and Medical Biology, Computational Systems Biology Group, University of Salzburg, Salzburg, Austria
| | - Veronika Schäpertöns
- Department of Biosciences and Medical Biology, Bioanalytical Research Labs, University of Salzburg, Salzburg, Austria; Department of Biosciences and Medical Biology, Computational Systems Biology Group, University of Salzburg, Salzburg, Austria
| | - Tao Zhang
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Koen Sandra
- Research Institute for Chromatography (RIC), Kortrijk, Belgium
| | - Therese Wohlschlager
- Department of Biosciences and Medical Biology, Bioanalytical Research Labs, University of Salzburg, Salzburg, Austria; Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Salzburg, Austria
| | - Christian G Huber
- Department of Biosciences and Medical Biology, Bioanalytical Research Labs, University of Salzburg, Salzburg, Austria; Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Salzburg, Austria.
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8
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van Schaick G, Wuhrer M, Domínguez-Vega E. Dopant-enriched nitrogen gas to boost ionization of glycoproteins analyzed with native liquid chromatography coupled to nano-electrospray ionization. Anal Chim Acta 2023; 1265:341271. [PMID: 37230565 DOI: 10.1016/j.aca.2023.341271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/27/2023] [Accepted: 04/23/2023] [Indexed: 05/27/2023]
Abstract
Proteins carry a plethora of post-translational modifications (PTMs), such as glycosylation or phosphorylation, which may affect stability and activity. Analytical strategies are needed to investigate these PTMs in their native state to determine the link between structure and function. The coupling of native separation techniques with mass spectrometry (MS) has emerged as a powerful tool for in-depth protein characterization. Yet obtaining high ionization efficiency still can be challenging. Here, we explored the potential of dopant-enriched nitrogen (DEN) gas to improve nano-electrospray ionization (nano-ESI)-MS of native proteins after anion exchange chromatography. The dopant gas was enriched with different dopants (acetonitrile, methanol, and isopropanol) and the effects were compared with the use of solely nitrogen gas for six proteins covering a wide range of physicochemical properties. The use of DEN gas resulted generally in lower charge states, independent of the selected dopant. Moreover, less adduct formation was observed, particularly for the acetonitrile-enriched nitrogen gas. Importantly, striking differences in MS signal intensity and spectral quality were observed for extensively glycosylated proteins, where isopropanol- and methanol-enriched nitrogen appeared to be most beneficial. Altogether, the use of DEN gas improved nano-ESI of native glycoproteins and increased spectral quality for highly glycosylated proteins that normally suffer from low ionization efficiency.
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Affiliation(s)
- Guusje van Schaick
- Leiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, the Netherlands
| | - Manfred Wuhrer
- Leiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, the Netherlands
| | - Elena Domínguez-Vega
- Leiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, the Netherlands.
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9
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In-Depth Analysis of the N-Glycome of Colorectal Cancer Cell Lines. Int J Mol Sci 2023; 24:ijms24054842. [PMID: 36902272 PMCID: PMC10003090 DOI: 10.3390/ijms24054842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/21/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the second leading cause of cancer deaths worldwide. A well-known hallmark of cancer is altered glycosylation. Analyzing the N-glycosylation of CRC cell lines may provide potential therapeutic or diagnostic targets. In this study, an in-depth N-glycomic analysis of 25 CRC cell lines was conducted using porous graphitized carbon nano-liquid chromatography coupled to electrospray ionization mass spectrometry. This method allows for the separation of isomers and performs structural characterization, revealing profound N-glycomic diversity among the studied CRC cell lines with the elucidation of a number of 139 N-glycans. A high degree of similarity between the two N-glycan datasets measured on the two different platforms (porous graphitized carbon nano-liquid chromatography electrospray ionization tandem mass spectrometry (PGC-nano-LC-ESI-MS) and matrix-assisted laser desorption/ionization time of flight-mass spectrometry (MALDI-TOF-MS)) was discovered. Furthermore, we studied the associations between glycosylation features, glycosyltransferases (GTs), and transcription factors (TFs). While no significant correlations between the glycosylation features and GTs were found, the association between TF CDX1 and (s)Le antigen expression and relevant GTs FUT3/6 suggests that CDX1 contributes to the expression of the (s)Le antigen through the regulation of FUT3/6. Our study provides a comprehensive characterization of the N-glycome of CRC cell lines, which may contribute to the future discovery of novel glyco-biomarkers of CRC.
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10
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Chau TH, Chernykh A, Ugonotti J, Parker BL, Kawahara R, Thaysen-Andersen M. Glycomics-Assisted Glycoproteomics Enables Deep and Unbiased N-Glycoproteome Profiling of Complex Biological Specimens. Methods Mol Biol 2023; 2628:235-263. [PMID: 36781790 DOI: 10.1007/978-1-0716-2978-9_16] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Mass spectrometry-driven glycomics and glycoproteomics, the system-wide profiling of detached glycans and intact glycopeptides from biological samples, respectively, are powerful approaches to interrogate the heterogenous glycoproteome. Efforts to develop integrated workflows employing both glycomics and glycoproteomics have been invested since the concerted application of these complementary approaches enables a deeper exploration of the glycoproteome. This protocol paper outlines, step-by-step, an integrated -omics technology, the "glycomics-assisted glycoproteomics" method, that first establishes the N-glycan fine structures and their quantitative distribution pattern of protein extracts via porous graphitized carbon-LC-MS/MS. The N-glycome information is then used to augment and guide the challenging reversed-phase LC-MS/MS-based profiling of intact N-glycopeptides from the same protein samples. Experimental details and considerations relating to the sample preparation and the N-glycomics and N-glycoproteomics data collection, analysis, and integration are discussed. Benefits of the glycomics-assisted glycoproteomics method, which can be readily applied to both simple and complex biological specimens such as protein extracts from cells, tissues, and bodily fluids (e.g., serum), include quantitative information of the protein carriers and site(s) of glycosylation, site occupancy, and the site-specific glycan structures directly from biological samples. The glycomics-assisted glycoproteomics method therefore facilitates a comprehensive view of the complexity and dynamics of the heterogenous glycoproteome.
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Affiliation(s)
- The Huong Chau
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia
| | - Anastasia Chernykh
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia
| | - Julian Ugonotti
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia
| | - Benjamin L Parker
- Department of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Rebeca Kawahara
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia
| | - Morten Thaysen-Andersen
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia.
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia.
- Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Aichi, Japan.
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11
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Lageveen‐Kammeijer GSM, Kuster B, Reusch D, Wuhrer M. High sensitivity glycomics in biomedicine. MASS SPECTROMETRY REVIEWS 2022; 41:1014-1039. [PMID: 34494287 PMCID: PMC9788051 DOI: 10.1002/mas.21730] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 08/23/2021] [Accepted: 08/26/2021] [Indexed: 05/15/2023]
Abstract
Many analytical challenges in biomedicine arise from the generally high heterogeneity and complexity of glycan- and glycoconjugate-containing samples, which are often only available in minute amounts. Therefore, highly sensitive workflows and detection methods are required. In this review mass spectrometric workflows and detection methods are evaluated for glycans and glycoproteins. Furthermore, glycomic methodologies and innovations that are tailored for enzymatic treatments, chemical derivatization, purification, separation, and detection at high sensitivity are highlighted. The discussion is focused on the analysis of mammalian N-linked and GalNAc-type O-linked glycans.
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Affiliation(s)
| | - Bernhard Kuster
- Chair for Proteomics and BioanalyticsTechnical University of MunichFreisingGermany
| | - Dietmar Reusch
- Pharma Technical Development EuropeRoche Diagnostics GmbHPenzbergGermany
| | - Manfred Wuhrer
- Leiden University Medical CenterCenter for Proteomics and MetabolomicsLeidenThe Netherlands
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Trbojević-Akmačić I, Lageveen-Kammeijer GSM, Heijs B, Petrović T, Deriš H, Wuhrer M, Lauc G. High-Throughput Glycomic Methods. Chem Rev 2022; 122:15865-15913. [PMID: 35797639 PMCID: PMC9614987 DOI: 10.1021/acs.chemrev.1c01031] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Glycomics aims to identify the structure and function of the glycome, the complete set of oligosaccharides (glycans), produced in a given cell or organism, as well as to identify genes and other factors that govern glycosylation. This challenging endeavor requires highly robust, sensitive, and potentially automatable analytical technologies for the analysis of hundreds or thousands of glycomes in a timely manner (termed high-throughput glycomics). This review provides a historic overview as well as highlights recent developments and challenges of glycomic profiling by the most prominent high-throughput glycomic approaches, with N-glycosylation analysis as the focal point. It describes the current state-of-the-art regarding levels of characterization and most widely used technologies, selected applications of high-throughput glycomics in deciphering glycosylation process in healthy and disease states, as well as future perspectives.
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Affiliation(s)
| | | | - Bram Heijs
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Tea Petrović
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
| | - Helena Deriš
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
| | - Manfred Wuhrer
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Gordan Lauc
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
- Faculty
of Pharmacy and Biochemistry, University
of Zagreb, A. Kovačića 1, 10 000 Zagreb, Croatia
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13
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Wang D, Madunić K, Zhang T, Mayboroda OA, Lageveen-Kammeijer GSM, Wuhrer M. High Diversity of Glycosphingolipid Glycans of Colorectal Cancer Cell Lines Reflects the Cellular Differentiation Phenotype. Mol Cell Proteomics 2022; 21:100239. [PMID: 35489554 PMCID: PMC9157004 DOI: 10.1016/j.mcpro.2022.100239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/04/2022] [Accepted: 04/26/2022] [Indexed: 12/24/2022] Open
Abstract
Colorectal cancer (CRC)–associated changes of protein glycosylation have been widely studied. In contrast, the expression of glycosphingolipid (GSL) patterns in CRC has, hitherto, remained largely unexplored. Even though GSLs are major carriers of cell surface carbohydrates, they are understudied due to their complexity and analytical challenges. In this study, we provide an in-depth analysis of GSL glycans of 22 CRC cell lines using porous graphitized carbon nano–liquid chromatography coupled with electrospray ionization–mass spectrometry. Our data revealed that the GSL expression varies among different cell line classifications, with undifferentiated cell lines showing high expression of blood group A, B, and H antigens while for colon-like cell lines the most prominent GSL glycans contained (sialyl)-LewisA/X and LewisB/Y antigens. Moreover, the GSL expression correlated with relevant glycosyltransferases that are involved in their biosynthesis as well as with transcription factors (TFs) implicated in colon differentiation. Additionally, correlations between certain glycosyltransferases and TFs at mRNA expression level were found, such as FUT3, which correlated with CDX1, ETS2, HNF1A, HNF4A, MECOM, and MYB. These TFs are upregulated in colon-like cell lines pointing to their potential role in regulating fucosylation during colon differentiation. In conclusion, our study reveals novel layers of potential GSL glycans regulation relevant for future research in colon differentiation and CRC. Undifferentiated cell lines showed high expression of blood group A, B, and H antigens. Colon-like cell lines are high in GSLs carrying (sialyl)-LewisA/X and LewisB/Y antigens. (Sialyl)-LewisA/X and LewisB/Y antigens associated with expression of FUT3 and CDX1. I-branching was elevated in undifferentiated cells.
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Affiliation(s)
- Di Wang
- Leiden University Medical Center, Center for Proteomics and Metabolomics, RC Leiden, The Netherlands
| | - Katarina Madunić
- Leiden University Medical Center, Center for Proteomics and Metabolomics, RC Leiden, The Netherlands
| | - Tao Zhang
- Leiden University Medical Center, Center for Proteomics and Metabolomics, RC Leiden, The Netherlands
| | - Oleg A Mayboroda
- Leiden University Medical Center, Center for Proteomics and Metabolomics, RC Leiden, The Netherlands
| | | | - Manfred Wuhrer
- Leiden University Medical Center, Center for Proteomics and Metabolomics, RC Leiden, The Netherlands.
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Abstract
Mucin-domain glycoproteins comprise a class of proteins whose densely O-glycosylated mucin domains adopt a secondary structure with unique biophysical and biochemical properties. The canonical family of mucins is well-known to be involved in various diseases, especially cancer. Despite this, very little is known about the site-specific molecular structures and biological activities of mucins, in part because they are extremely challenging to study by mass spectrometry (MS). Here, we summarize recent advancements toward this goal, with a particular focus on mucin-domain glycoproteins as opposed to general O-glycoproteins. We summarize proteolytic digestion techniques, enrichment strategies, MS fragmentation, and intact analysis, as well as new bioinformatic platforms. In particular, we highlight mucin directed technologies such as mucin-selective proteases, tunable mucin platforms, and a mucinomics strategy to enrich mucin-domain glycoproteins from complex samples. Finally, we provide examples of targeted mucin-domain glycoproteomics that combine these techniques in comprehensive site-specific analyses of proteins. Overall, this Review summarizes the methods, challenges, and new opportunities associated with studying enigmatic mucin domains.
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Affiliation(s)
- Valentina Rangel-Angarita
- Department of Chemistry, Yale University, 275 Prospect Street, New Haven, Connecticut 06511, United States
| | - Stacy A. Malaker
- Department of Chemistry, Yale University, 275 Prospect Street, New Haven, Connecticut 06511, United States
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15
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Donohoo KB, Wang J, Goli M, Yu A, Peng W, Hakim MA, Mechref Y. Advances in mass spectrometry-based glycomics-An update covering the period 2017-2021. Electrophoresis 2021; 43:119-142. [PMID: 34505713 DOI: 10.1002/elps.202100199] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/20/2021] [Accepted: 08/25/2021] [Indexed: 12/21/2022]
Abstract
The wide variety of chemical properties and biological functions found in proteins is attained via post-translational modifications like glycosylation. Covalently bonded to proteins, glycans play a critical role in cell activity. Complex structures with microheterogeneity, the glycan structures that are associated with proteins are difficult to analyze comprehensively. Recent advances in sample preparation methods, separation techniques, and MS have facilitated the quantitation and structural elucidation of glycans. This review focuses on highlighting advances in MS-based techniques for glycomic analysis that occurred over the last 5 years (2017-2021) as an update to the previous review on the subject. The topics of discussion will include progress in glycomic workflow such as glycan release, purification, derivatization, and separation as well as the topics of ionization, tandem MS, and separation techniques that can be coupled with MS. Additionally, bioinformatics tools used for the analysis of glycans will be described.
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Affiliation(s)
- Kaitlyn B Donohoo
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Junyao Wang
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Mona Goli
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Aiying Yu
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Wenjing Peng
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Md Abdul Hakim
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
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