1
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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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2
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Zhang Y, Krishnan S, Bao B, Chiang AWT, Sorrentino JT, Schinn SM, Kellman BP, Lewis NE. Preparing glycomics data for robust statistical analysis with GlyCompareCT. STAR Protoc 2023; 4:102162. [PMID: 36920914 PMCID: PMC10025275 DOI: 10.1016/j.xpro.2023.102162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 12/27/2022] [Accepted: 02/13/2023] [Indexed: 03/16/2023] Open
Abstract
GlyCompareCT is a portable command-line tool to facilitate downstream glycomic data analyses, by addressing data inherent sparsity and non-independence. Inputting glycan abundances, users can run GlyCompareCT with one line of code to obtain the abundances of a minimal substructure set, named glycomotif, thereby quantifying hidden biosynthetic relationships between measured glycans. Optional parameters tuning and annotation are supported for personal preference. For complete details on the use and execution of this protocol, please refer to Bao et al. (2021).1.
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Affiliation(s)
- Yujie Zhang
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - Sridevi Krishnan
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - Bokan Bao
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - Austin W T Chiang
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - James T Sorrentino
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - Song-Min Schinn
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - Benjamin P Kellman
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Augment Biologics, 9450 SW Gemini Dr. #46664, Beaverton, OR 97008, USA.
| | - Nathan E Lewis
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA.
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3
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Liu Y, Huang Y, Zhu R, Farag MA, Capanoglu E, Zhao C. Structural elucidation approaches in carbohydrates: A comprehensive review on techniques and future trends. Food Chem 2023; 400:134118. [DOI: 10.1016/j.foodchem.2022.134118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/01/2022] [Indexed: 10/14/2022]
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4
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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: 21] [Impact Index Per Article: 10.5] [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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5
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Deng C, Zhao M, Zhao Q, Zhao L. Advances in green bioproduction of marine and glycosaminoglycan oligosaccharides. Carbohydr Polym 2022; 300:120254. [DOI: 10.1016/j.carbpol.2022.120254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 11/02/2022]
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6
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Grabarics M, Lettow M, Kirschbaum C, Greis K, Manz C, Pagel K. Mass Spectrometry-Based Techniques to Elucidate the Sugar Code. Chem Rev 2022; 122:7840-7908. [PMID: 34491038 PMCID: PMC9052437 DOI: 10.1021/acs.chemrev.1c00380] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Indexed: 12/22/2022]
Abstract
Cells encode information in the sequence of biopolymers, such as nucleic acids, proteins, and glycans. Although glycans are essential to all living organisms, surprisingly little is known about the "sugar code" and the biological roles of these molecules. The reason glycobiology lags behind its counterparts dealing with nucleic acids and proteins lies in the complexity of carbohydrate structures, which renders their analysis extremely challenging. Building blocks that may differ only in the configuration of a single stereocenter, combined with the vast possibilities to connect monosaccharide units, lead to an immense variety of isomers, which poses a formidable challenge to conventional mass spectrometry. In recent years, however, a combination of innovative ion activation methods, commercialization of ion mobility-mass spectrometry, progress in gas-phase ion spectroscopy, and advances in computational chemistry have led to a revolution in mass spectrometry-based glycan analysis. The present review focuses on the above techniques that expanded the traditional glycomics toolkit and provided spectacular insight into the structure of these fascinating biomolecules. To emphasize the specific challenges associated with them, major classes of mammalian glycans are discussed in separate sections. By doing so, we aim to put the spotlight on the most important element of glycobiology: the glycans themselves.
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Affiliation(s)
- Márkó Grabarics
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
| | - Maike Lettow
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
| | - Carla Kirschbaum
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
| | - Kim Greis
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
| | - Christian Manz
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
| | - Kevin Pagel
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
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7
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de Haan N, Pučić-Baković M, Novokmet M, Falck D, Lageveen-Kammeijer G, Razdorov G, Vučković F, Trbojević-Akmačić I, Gornik O, Hanić M, Wuhrer M, Lauc G. OUP accepted manuscript. Glycobiology 2022; 32:651-663. [PMID: 35452121 PMCID: PMC9280525 DOI: 10.1093/glycob/cwac026] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 04/02/2022] [Accepted: 04/13/2022] [Indexed: 11/19/2022] Open
Abstract
Glycans expand the structural complexity of proteins by several orders of magnitude, resulting in a tremendous analytical challenge when including them in biomedical research. Recent glycobiological research is painting a picture in which glycans represent a crucial structural and functional component of the majority of proteins, with alternative glycosylation of proteins and lipids being an important regulatory mechanism in many biological and pathological processes. Since interindividual differences in glycosylation are extensive, large studies are needed to map the structures and to understand the role of glycosylation in human (patho)physiology. Driven by these challenges, methods have emerged, which can tackle the complexity of glycosylation in thousands of samples, also known as high-throughput (HT) glycomics. For facile dissemination and implementation of HT glycomics technology, the sample preparation, analysis, as well as data mining, need to be stable over a long period of time (months/years), amenable to automation, and available to non-specialized laboratories. Current HT glycomics methods mainly focus on protein N-glycosylation and allow to extensively characterize this subset of the human glycome in large numbers of various biological samples. The ultimate goal in HT glycomics is to gain better knowledge and understanding of the complete human glycome using methods that are easy to adapt and implement in (basic) biomedical research. Aiming to promote wider use and development of HT glycomics, here, we present currently available, emerging, and prospective methods and some of their applications, revealing a largely unexplored molecular layer of the complexity of life.
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Affiliation(s)
- Noortje de Haan
- Copenhagen Center for Glycomics, University of Copenhagen, Blegdamsvej 3 Copenhagen 2200, Denmark
| | - Maja Pučić-Baković
- Genos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia
| | - Mislav Novokmet
- Genos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia
| | - David Falck
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden 2333ZA, The Netherlands
| | - Guinevere Lageveen-Kammeijer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden 2333ZA, The Netherlands
| | - Genadij Razdorov
- Genos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia
| | - Frano Vučković
- Genos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia
| | | | - Olga Gornik
- Faculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovacica 1, Zagreb 10000, Croatia
| | - Maja Hanić
- Genos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia
| | - Manfred Wuhrer
- Corresponding author: Albinusdreef 2, Leiden 2333ZA, The Netherlands. . Borongajska cesta 83h, Zagreb 10000, Croatia.
| | - Gordan Lauc
- Corresponding author: Albinusdreef 2, Leiden 2333ZA, The Netherlands. . Borongajska cesta 83h, Zagreb 10000, Croatia.
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8
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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: 21] [Impact Index Per Article: 7.0] [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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9
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Bao B, Kellman BP, Chiang AWT, Zhang Y, Sorrentino JT, York AK, Mohammad MA, Haymond MW, Bode L, Lewis NE. Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis. Nat Commun 2021; 12:4988. [PMID: 34404781 PMCID: PMC8371009 DOI: 10.1038/s41467-021-25183-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 07/27/2021] [Indexed: 11/20/2022] Open
Abstract
Glycans are fundamental cellular building blocks, involved in many organismal functions. Advances in glycomics are elucidating the essential roles of glycans. Still, it remains challenging to properly analyze large glycomics datasets, since the abundance of each glycan is dependent on many other glycans that share many intermediate biosynthetic steps. Furthermore, the overlap of measured glycans can be low across samples. We address these challenges with GlyCompare, a glycomic data analysis approach that accounts for shared biosynthetic steps for all measured glycans to correct for sparsity and non-independence in glycomics, which enables direct comparison of different glycoprofiles and increases statistical power. Using GlyCompare, we study diverse N-glycan profiles from glycoengineered erythropoietin. We obtain biologically meaningful clustering of mutant cell glycoprofiles and identify knockout-specific effects of fucosyltransferase mutants on tetra-antennary structures. We further analyze human milk oligosaccharide profiles and find mother’s fucosyltransferase-dependent secretor-status indirectly impact the sialylation. Finally, we apply our method on mucin-type O-glycans, gangliosides, and site-specific compositional glycosylation data to reveal tissues and disease-specific glycan presentations. Our substructure-oriented approach will enable researchers to take full advantage of the growing power and size of glycomics data. Glycomics can uncover important molecular changes but measured glycans are highly interconnected and incompatible with common statistical methods, introducing pitfalls during analysis. Here, the authors develop an approach to identify glycan dependencies across samples to facilitate comparative glycomics.
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Affiliation(s)
- Bokan Bao
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.,Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.,Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Benjamin P Kellman
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.,Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.,Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Austin W T Chiang
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.,The Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, La Jolla, CA, USA
| | - Yujie Zhang
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - James T Sorrentino
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.,Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.,Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Austin K York
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Mahmoud A Mohammad
- Department of Pediatrics, Children's Nutrition Research Center, US Department of Agriculture/Agricultural Research Service, Baylor College of Medicine, Houston, TX, USA
| | - Morey W Haymond
- Department of Pediatrics, Children's Nutrition Research Center, US Department of Agriculture/Agricultural Research Service, Baylor College of Medicine, Houston, TX, USA
| | - Lars Bode
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA. .,Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA. .,The Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, La Jolla, CA, USA.
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10
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Reel PS, Reel S, Pearson E, Trucco E, Jefferson E. Using machine learning approaches for multi-omics data analysis: A review. Biotechnol Adv 2021; 49:107739. [PMID: 33794304 DOI: 10.1016/j.biotechadv.2021.107739] [Citation(s) in RCA: 243] [Impact Index Per Article: 81.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/01/2021] [Accepted: 03/25/2021] [Indexed: 02/06/2023]
Abstract
With the development of modern high-throughput omic measurement platforms, it has become essential for biomedical studies to undertake an integrative (combined) approach to fully utilise these data to gain insights into biological systems. Data from various omics sources such as genetics, proteomics, and metabolomics can be integrated to unravel the intricate working of systems biology using machine learning-based predictive algorithms. Machine learning methods offer novel techniques to integrate and analyse the various omics data enabling the discovery of new biomarkers. These biomarkers have the potential to help in accurate disease prediction, patient stratification and delivery of precision medicine. This review paper explores different integrative machine learning methods which have been used to provide an in-depth understanding of biological systems during normal physiological functioning and in the presence of a disease. It provides insight and recommendations for interdisciplinary professionals who envisage employing machine learning skills in multi-omics studies.
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Affiliation(s)
- Parminder S Reel
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Smarti Reel
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Ewan Pearson
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Emanuele Trucco
- VAMPIRE project, Computing, School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Emily Jefferson
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom.
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11
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Lollier V, Fanuel M, Ropartz D, Tessier D, Rogniaux H. Oligator: a flexible interface to draw oligosaccharide structures and generate their theoretical tandem mass spectra. Bioinformatics 2021; 37:4261-4262. [PMID: 34050747 DOI: 10.1093/bioinformatics/btab412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 04/22/2021] [Accepted: 05/27/2021] [Indexed: 11/14/2022] Open
Abstract
SUMMARY Oligator is software designed to assist scientists in their exploration of MS/MS experiments, especially for oligosaccharides bearing unreferenced chemical substitutions. Through a graphical interface, users have the total flexibility to build a candidate glycan structure and produce the corresponding theoretical MS/MS spectrum in accordance with the usual ion nomenclature. The structural information is saved using standard notations, in text format, which facilitates the capitalization and exchange of data as well as any other processing of the information. AVAILABILITY Source code and user manual are freely available at https://github.com/vlollier/oligator. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Virginie Lollier
- INRAE, UR BIA, Nantes, F-44316, France.,INRAE, PROBE research infrastructure, BIBS facility, Nantes, F-44316, France
| | - Mathieu Fanuel
- INRAE, UR BIA, Nantes, F-44316, France.,INRAE, PROBE research infrastructure, BIBS facility, Nantes, F-44316, France
| | - David Ropartz
- INRAE, UR BIA, Nantes, F-44316, France.,INRAE, PROBE research infrastructure, BIBS facility, Nantes, F-44316, France
| | - Dominique Tessier
- INRAE, UR BIA, Nantes, F-44316, France.,INRAE, PROBE research infrastructure, BIBS facility, Nantes, F-44316, France
| | - Hélène Rogniaux
- INRAE, UR BIA, Nantes, F-44316, France.,INRAE, PROBE research infrastructure, BIBS facility, Nantes, F-44316, France
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12
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Kellman BP, Lewis NE. Big-Data Glycomics: Tools to Connect Glycan Biosynthesis to Extracellular Communication. Trends Biochem Sci 2021; 46:284-300. [PMID: 33349503 PMCID: PMC7954846 DOI: 10.1016/j.tibs.2020.10.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Revised: 10/05/2020] [Accepted: 10/22/2020] [Indexed: 12/12/2022]
Abstract
Characteristically, cells must sense and respond to environmental cues. Despite the importance of cell-cell communication, our understanding remains limited and often lacks glycans. Glycans decorate proteins and cell membranes at the cell-environment interface, and modulate intercellular communication, from development to pathogenesis. Providing further challenges, glycan biosynthesis and cellular behavior are co-regulating systems. Here, we discuss how glycosylation contributes to extracellular responses and signaling. We further organize approaches for disentangling the roles of glycans in multicellular interactions using newly available datasets and tools, including glycan biosynthesis models, omics datasets, and systems-level analyses. Thus, emerging tools in big data analytics and systems biology are facilitating novel insights on glycans and their relationship with multicellular behavior.
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Affiliation(s)
- Benjamin P Kellman
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego School of Medicine, La Jolla, CA, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego School of Medicine, La Jolla, CA, USA; Novo Nordisk Foundation Center for Biosustainability at the University of California San Diego School of Medicine, La Jolla, CA, USA.
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13
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Kawanishi K, Saha S, Diaz S, Vaill M, Sasmal A, Siddiqui SS, Choudhury B, Sharma K, Chen X, Schoenhofen IC, Sato C, Kitajima K, Freeze HH, Münster-Kühnel A, Varki A. Evolutionary conservation of human ketodeoxynonulosonic acid production is independent of sialoglycan biosynthesis. J Clin Invest 2021; 131:137681. [PMID: 33373330 DOI: 10.1172/jci137681] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 12/22/2020] [Indexed: 12/13/2022] Open
Abstract
Human metabolic incorporation of nonhuman sialic acid (Sia) N-glycolylneuraminic acid into endogenous glycans generates inflammation via preexisting antibodies, which likely contributes to red meat-induced atherosclerosis acceleration. Exploring whether this mechanism affects atherosclerosis in end-stage renal disease (ESRD), we instead found serum accumulation of 2-keto-3-deoxy-d-glycero-d-galacto-2-nonulosonic acid (Kdn), a Sia prominently expressed in cold-blooded vertebrates. In patients with ESRD, levels of the Kdn precursor mannose also increased, but within a normal range. Mannose ingestion by healthy volunteers raised the levels of urinary mannose and Kdn. Kdn production pathways remained conserved in mammals but were diminished by an M42T substitution in a key biosynthetic enzyme, N-acetylneuraminate synthase. Remarkably, reversion to the ancestral methionine then occurred independently in 2 lineages, including humans. However, mammalian glycan databases contain no Kdn-glycans. We hypothesize that the potential toxicity of excess mannose in mammals is partly buffered by conversion to free Kdn. Thus, mammals probably conserve Kdn biosynthesis and modulate it in a lineage-specific manner, not for glycosylation, but to control physiological mannose intermediates and metabolites. However, human cells can be forced to express Kdn-glycans via genetic mutations enhancing Kdn utilization, or by transfection with fish enzymes producing cytidine monophosphate-Kdn (CMP-Kdn). Antibodies against Kdn-glycans occur in pooled human immunoglobulins. Pathological conditions that elevate Kdn levels could therefore result in antibody-mediated inflammatory pathologies.
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Affiliation(s)
- Kunio Kawanishi
- Glycobiology Research and Training Center.,Department of Cellular and Molecular Medicine, and
| | - Sudeshna Saha
- Glycobiology Research and Training Center.,Department of Cellular and Molecular Medicine, and
| | - Sandra Diaz
- Glycobiology Research and Training Center.,Department of Cellular and Molecular Medicine, and
| | - Michael Vaill
- Glycobiology Research and Training Center.,Department of Cellular and Molecular Medicine, and.,Center for Academic Research and Training in Anthropogeny, University of California, San Diego (UCSD), La Jolla, California, USA
| | - Aniruddha Sasmal
- Glycobiology Research and Training Center.,Department of Cellular and Molecular Medicine, and
| | - Shoib S Siddiqui
- Glycobiology Research and Training Center.,Department of Cellular and Molecular Medicine, and
| | | | - Kumar Sharma
- Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health San Antonio, San Antonio, Texas, USA
| | - Xi Chen
- Department of Chemistry, University of California, Davis (UCD), Davis, California, USA
| | - Ian C Schoenhofen
- Human Health Therapeutics Research Center, National Research Council of Canada, Ottawa, Ontario, Canada
| | - Chihiro Sato
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Japan
| | - Ken Kitajima
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Japan
| | - Hudson H Freeze
- Human Genetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California, USA
| | | | - Ajit Varki
- Glycobiology Research and Training Center.,Department of Cellular and Molecular Medicine, and.,Center for Academic Research and Training in Anthropogeny, University of California, San Diego (UCSD), La Jolla, California, USA.,Department of Medicine, UCSD, La Jolla, California, USA
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14
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Insights into Bioinformatic Applications for Glycosylation: Instigating an Awakening towards Applying Glycoinformatic Resources for Cancer Diagnosis and Therapy. Int J Mol Sci 2020; 21:ijms21249336. [PMID: 33302373 PMCID: PMC7762546 DOI: 10.3390/ijms21249336] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 11/26/2020] [Accepted: 12/01/2020] [Indexed: 01/10/2023] Open
Abstract
Glycosylation plays a crucial role in various diseases and their etiology. This has led to a clear understanding on the functions of carbohydrates in cell communication, which eventually will result in novel therapeutic approaches for treatment of various disease. Glycomics has now become one among the top ten technologies that will change the future. The direct implication of glycosylation as a hallmark of cancer and for cancer therapy is well established. As in proteomics, where bioinformatics tools have led to revolutionary achievements, bioinformatics resources for glycosylation have improved its practical implication. Bioinformatics tools, algorithms and databases are a mandatory requirement to manage and successfully analyze large amount of glycobiological data generated from glycosylation studies. This review consolidates all the available tools and their applications in glycosylation research. The achievements made through the use of bioinformatics into glycosylation studies are also presented. The importance of glycosylation in cancer diagnosis and therapy is discussed and the gap in the application of widely available glyco-informatic tools for cancer research is highlighted. This review is expected to bring an awakening amongst glyco-informaticians as well as cancer biologists to bridge this gap, to exploit the available glyco-informatic tools for cancer.
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15
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Pralow A, Cajic S, Alagesan K, Kolarich D, Rapp E. State-of-the-Art Glycomics Technologies in Glycobiotechnology. ADVANCES IN BIOCHEMICAL ENGINEERING/BIOTECHNOLOGY 2020; 175:379-411. [PMID: 33112988 DOI: 10.1007/10_2020_143] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Glycosylation affects the properties of biologics; thus regulatory bodies classified it as critical quality attribute and force biopharma industry to capture and control it throughout all phases, from R&D till end of product lifetime. The shift from originators to biosimilars further increases importance and extent of glycoanalysis, which thus increases the need for technology platforms enabling reliable high-throughput and in-depth glycan analysis. In this chapter, we will first summarize on established glycoanalytical methods based on liquid chromatography focusing on hydrophilic interaction chromatography, capillary electrophoresis focusing on multiplexed capillary gel electrophoresis, and mass spectrometry focusing on matrix-assisted laser desorption; we will then highlight two emerging technologies based on porous graphitized carbon liquid chromatography and on ion-mobility mass spectrometry as both are highly promising tools to deliver an additional level of information for in-depth glycan analysis; additionally we elaborate on the advantages and challenges of different glycoanalytical technologies and their complementarity; finally, we briefly review applications thereof to biopharmaceutical products. This chapter provides an overview of current state-of-the-art analytical approaches for glycan characterization of biopharmaceuticals that can be employed to capture glycoprotein heterogeneity in a biopharmaceutical context.
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Affiliation(s)
- Alexander Pralow
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Samanta Cajic
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Kathirvel Alagesan
- Institute for Glycomics, Griffith University, Gold Coast, QLD, Australia
| | - Daniel Kolarich
- Institute for Glycomics, Griffith University, Gold Coast, QLD, Australia
- ARC Centre of Excellence in Nanoscale Biophotonics, Griffith University, Gold Coast, QLD, Australia
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
- glyXera GmbH, Magdeburg, Germany.
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16
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Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics. Int J Mol Sci 2020; 21:ijms21186727. [PMID: 32937895 PMCID: PMC7556027 DOI: 10.3390/ijms21186727] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/03/2020] [Accepted: 09/11/2020] [Indexed: 02/07/2023] Open
Abstract
Glycosylation plays critical roles in various biological processes and is closely related to diseases. Deciphering the glycocode in diverse cells and tissues offers opportunities to develop new disease biomarkers and more effective recombinant therapeutics. In the past few decades, with the development of glycobiology, glycomics, and glycoproteomics technologies, a large amount of glycoscience data has been generated. Subsequently, a number of glycobiology databases covering glycan structure, the glycosylation sites, the protein scaffolds, and related glycogenes have been developed to store, analyze, and integrate these data. However, these databases and tools are not well known or widely used by the public, including clinicians and other researchers who are not in the field of glycobiology, but are interested in glycoproteins. In this study, the representative databases of glycan structure, glycoprotein, glycan-protein interactions, glycogenes, and the newly developed bioinformatic tools and integrated portal for glycoproteomics are reviewed. We hope this overview could assist readers in searching for information on glycoproteins of interest, and promote further clinical application of glycobiology.
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17
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Affiliation(s)
- Hayden Wilkinson
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and Training, Blackrock, Dublin, Ireland
- CÚRAM, SFI Research Centre for Medical Devices, National University of Ireland, Galway, Ireland
- UCD School of Medicine, College of Health and Agricultural Science, University College Dublin, Dublin, Ireland
| | - Radka Saldova
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and Training, Blackrock, Dublin, Ireland
- CÚRAM, SFI Research Centre for Medical Devices, National University of Ireland, Galway, Ireland
- UCD School of Medicine, College of Health and Agricultural Science, University College Dublin, Dublin, Ireland
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18
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Venkatakrishnan V, Dieckmann R, Loke I, Tjondro HC, Chatterjee S, Bylund J, Thaysen-Andersen M, Karlsson NG, Karlsson-Bengtsson A. Glycan analysis of human neutrophil granules implicates a maturation-dependent glycosylation machinery. J Biol Chem 2020; 295:12648-12660. [PMID: 32665399 DOI: 10.1074/jbc.ra120.014011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 06/15/2020] [Indexed: 12/12/2022] Open
Abstract
Protein glycosylation is essential to trafficking and immune functions of human neutrophils. During granulopoiesis in the bone marrow, distinct neutrophil granules are successively formed. Distinct receptors and effector proteins, many of which are glycosylated, are targeted to each type of granule according to their time of expression, a process called "targeting by timing." Therefore, these granules are time capsules reflecting different times of maturation that can be used to understand the glycosylation process during granulopoiesis. Herein, neutrophil subcellular granules were fractionated by Percoll density gradient centrifugation, and N- and O-glycans present in each compartment were analyzed by LC-MS. We found abundant paucimannosidic N-glycans and lack of O-glycans in the early-formed azurophil granules, whereas the later-formed specific and gelatinase granules and secretory vesicles contained complex N- and O-glycans with remarkably elongated N-acetyllactosamine repeats with Lewis epitopes. Immunoblotting and histochemical analysis confirmed the expression of Lewis X and sialyl-Lewis X in the intracellular granules and on the cell surface, respectively. Many glycans identified are unique to neutrophils, and their complexity increased progressively from azurophil granules to specific granules and then to gelatinase granules, suggesting temporal changes in the glycosylation machinery indicative of "glycosylation by timing" during granulopoiesis. In summary, this comprehensive neutrophil granule glycome map, the first of its kind, highlights novel granule-specific glycosylation features and is a crucial first step toward a better understanding of the mechanisms regulating protein glycosylation during neutrophil granulopoiesis and a more detailed understanding of neutrophil biology and function.
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Affiliation(s)
- Vignesh Venkatakrishnan
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Régis Dieckmann
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ian Loke
- Department of Molecular Sciences, Macquarie University, Sydney, Australia.,Cordlife Group Limited, Singapore
| | - Harry C Tjondro
- Department of Molecular Sciences, Macquarie University, Sydney, Australia
| | | | - Johan Bylund
- Department of Oral Microbiology and Immunology, Institute of Odontology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Morten Thaysen-Andersen
- Department of Molecular Sciences, Macquarie University, Sydney, Australia.,Biomolecular Discovery Research Centre, Macquarie University, Sydney, Australia
| | - Niclas G Karlsson
- Department of Medical Chemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anna Karlsson-Bengtsson
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
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19
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Cipollo JF, Parsons LM. Glycomics and glycoproteomics of viruses: Mass spectrometry applications and insights toward structure-function relationships. MASS SPECTROMETRY REVIEWS 2020; 39:371-409. [PMID: 32350911 PMCID: PMC7318305 DOI: 10.1002/mas.21629] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 04/01/2020] [Accepted: 04/05/2020] [Indexed: 05/21/2023]
Abstract
The advancement of viral glycomics has paralleled that of the mass spectrometry glycomics toolbox. In some regard the glycoproteins studied have provided the impetus for this advancement. Viral proteins are often highly glycosylated, especially those targeted by the host immune system. Glycosylation tends to be dynamic over time as viruses propagate in host populations leading to increased number of and/or "movement" of glycosylation sites in response to the immune system and other pressures. This relationship can lead to highly glycosylated, difficult to analyze glycoproteins that challenge the capabilities of modern mass spectrometry. In this review, we briefly discuss five general areas where glycosylation is important in the viral niche and how mass spectrometry has been used to reveal key information regarding structure-function relationships between viral glycoproteins and host cells. We describe the recent past and current glycomics toolbox used in these analyses and give examples of how the requirement to analyze these complex glycoproteins has provided the incentive for some advances seen in glycomics mass spectrometry. A general overview of viral glycomics, special cases, mass spectrometry methods and work-flows, informatics and complementary chemical techniques currently used are discussed. © 2020 The Authors. Mass Spectrometry Reviews published by John Wiley & Sons Ltd. Mass Spec Rev.
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Affiliation(s)
- John F. Cipollo
- Center for Biologics Evaluation and Research, Food and Drug AdministrationSilver SpringMaryland
| | - Lisa M. Parsons
- Center for Biologics Evaluation and Research, Food and Drug AdministrationSilver SpringMaryland
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20
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Miller RL, Guimond SE, Schwörer R, Zubkova OV, Tyler PC, Xu Y, Liu J, Chopra P, Boons GJ, Grabarics M, Manz C, Hofmann J, Karlsson NG, Turnbull JE, Struwe WB, Pagel K. Shotgun ion mobility mass spectrometry sequencing of heparan sulfate saccharides. Nat Commun 2020; 11:1481. [PMID: 32198425 PMCID: PMC7083916 DOI: 10.1038/s41467-020-15284-y] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 02/27/2020] [Indexed: 01/23/2023] Open
Abstract
Despite evident regulatory roles of heparan sulfate (HS) saccharides in numerous biological processes, definitive information on the bioactive sequences of these polymers is lacking, with only a handful of natural structures sequenced to date. Here, we develop a “Shotgun” Ion Mobility Mass Spectrometry Sequencing (SIMMS2) method in which intact HS saccharides are dissociated in an ion mobility mass spectrometer and collision cross section values of fragments measured. Matching of data for intact and fragment ions against known values for 36 fully defined HS saccharide structures (from di- to decasaccharides) permits unambiguous sequence determination of validated standards and unknown natural saccharides, notably including variants with 3O-sulfate groups. SIMMS2 analysis of two fibroblast growth factor-inhibiting hexasaccharides identified from a HS oligosaccharide library screen demonstrates that the approach allows elucidation of structure-activity relationships. SIMMS2 thus overcomes the bottleneck for decoding the informational content of functional HS motifs which is crucial for their future biomedical exploitation. Heparan sulfates (HS) contain functionally relevant structural motifs, but determining their monosaccharide sequence remains challenging. Here, the authors develop an ion mobility mass spectrometry-based method that allows unambiguous characterization of HS sequences and structure-activity relationships.
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Affiliation(s)
- Rebecca L Miller
- Copenhagen Center for Glycomics, Department of Cellular & Molecular Medicine, University of Copenhagen, Copenhagen, N 2200, Denmark. .,Centre for Glycobiology, Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK. .,Laboratory of Cancer Biology, Department of Oncology, Medical Sciences Division, University of Oxford, Old Road Campus Research Building, Old Road Campus, Roosevelt Drive, Oxford, OX3 7DQ, UK.
| | - Scott E Guimond
- Centre for Glycobiology, Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.,Institute for Science and Technology in Medicine, School of Medicine, Keele University, Keele, Staffordshire, ST5 5BG, UK
| | - Ralf Schwörer
- Ferrier Research Institute, Victoria University of Wellington, 69 Gracefield Road, Gracefield, Lower Hutt, 5010, New Zealand
| | - Olga V Zubkova
- Ferrier Research Institute, Victoria University of Wellington, 69 Gracefield Road, Gracefield, Lower Hutt, 5010, New Zealand
| | - Peter C Tyler
- Ferrier Research Institute, Victoria University of Wellington, 69 Gracefield Road, Gracefield, Lower Hutt, 5010, New Zealand
| | - Yongmei Xu
- Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Jian Liu
- Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Pradeep Chopra
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA, 30602, USA
| | - Geert-Jan Boons
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA, 30602, USA.,Department of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Science, and Bijvoet Center for Biomolecular Research, Utrecht University, Universiteitsweg 99, 3584 CG, Utrecht, The Netherlands
| | - Márkó Grabarics
- Freie Universitaet Berlin, Institute of Chemistry and Biochemistry, Takustrasse 3, 14195, Berlin, Germany.,Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195, Berlin, Germany
| | - Christian Manz
- Freie Universitaet Berlin, Institute of Chemistry and Biochemistry, Takustrasse 3, 14195, Berlin, Germany.,Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195, Berlin, Germany
| | - Johanna Hofmann
- Freie Universitaet Berlin, Institute of Chemistry and Biochemistry, Takustrasse 3, 14195, Berlin, Germany.,Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195, Berlin, Germany
| | - Niclas G Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Jeremy E Turnbull
- Copenhagen Center for Glycomics, Department of Cellular & Molecular Medicine, University of Copenhagen, Copenhagen, N 2200, Denmark.,Centre for Glycobiology, Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK
| | - Weston B Struwe
- Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, OX1 3QZ, UK
| | - Kevin Pagel
- Freie Universitaet Berlin, Institute of Chemistry and Biochemistry, Takustrasse 3, 14195, Berlin, Germany.,Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195, Berlin, Germany
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21
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Neelamegham S, Aoki-Kinoshita K, Bolton E, Frank M, Lisacek F, Lütteke T, O'Boyle N, Packer NH, Stanley P, Toukach P, Varki A, Woods RJ. Updates to the Symbol Nomenclature for Glycans guidelines. Glycobiology 2020; 29:620-624. [PMID: 31184695 DOI: 10.1093/glycob/cwz045] [Citation(s) in RCA: 257] [Impact Index Per Article: 64.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 05/15/2019] [Accepted: 06/06/2019] [Indexed: 11/14/2022] Open
Abstract
The Symbol Nomenclature for Glycans (SNFG) is a community-curated standard for the depiction of monosaccharides and complex glycans using various colored-coded, geometric shapes, along with defined text additions. It is hosted by the National Center for Biotechnology Information (NCBI) at the NCBI-Glycans Page (www.ncbi.nlm.nih.gov/glycans/snfg.html). Several changes have been made to the SNFG page in the past year to update the rules for depicting glycans using the SNFG, to include more examples of use, particularly for non-mammalian organisms, and to provide guidelines for the depiction of ambiguous glycan structures. This Glycoforum article summarizes these recent changes.
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Affiliation(s)
- Sriram Neelamegham
- Department of Chemical & Biological Engineering and Medicine, State University of New York, 906 Furnas Hall, Buffalo, NY 14260, USA
| | - Kiyoko Aoki-Kinoshita
- Glycan & Life System Integration Center (GaLSIC), Faculty of Science and Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan
| | - Evan Bolton
- National Library of Medicine, 8600 Rockville Pike, Bldg. 38A, Room 8S810, Bethesda, MD 20896, USA
| | - Martin Frank
- Biognos AB, Generatorsgatan 1 / Box 8963, 402 74 Göteborg, Sweden
| | - Frederique Lisacek
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Computer Science Department, University of Geneva, route de Drize 7, CH - 1227 Geneva Switzerland, and also Section of Biology, University of Geneva, Geneva, Switzerland
| | - Thomas Lütteke
- GIP GmbH, Strahlenberger Str. 112, 63067 Offenbach, Germany
| | - Noel O'Boyle
- NextMove Software, Innovation Centre, Cambridge Science Park, Milton Road, Cambridge, CB4 0EY, UK
| | - Nicolle H Packer
- Department of Molecular Sciences, Faculty of Science & Engineering, Rm 307, Building E8C, Macquarie University, Sydney, NSW 2109, Australia
| | - Pamela Stanley
- Department of Cell Biology, Albert Einstein College of Medicine, 1300 Morris Park Ave, New York, NY, 10461, USA
| | - Philip Toukach
- Laboratory of Carbohydrate Chemistry, Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences. 119991 Moscow, Leninsky prospect 47, Russia
| | - Ajit Varki
- Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Robert J Woods
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Rd, Athens, GA, 30602, USA
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22
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Abstract
Paucimannosidic N-glycans (PMGs) are special in that they only have the chitobiose core of two β-linked N-acetylglucosamines extended with up to three mannose residues and a core fucose. While such short-chain glycans are well described in plants, reports on their expression in humans have been rather scarce. Also, these glycans are often seen as a potential analytical artifact. Recently, it became clear that PMGs are abundantly expressed on various proteins from human neutrophils, opening up a new field of research into the potential biological roles of these modifications. Another niche where PMGs have repeatedly been described are human cancer tissues and cell lines. Chatterjee et al. build on these scattered reports by performing a large-scale pan-cancer investigation showing that PMGs are broadly expressed in different types of tumor tissues as well as related cell lines. Also, the related noncancerous control tissues likewise exhibit PMGs, albeit at lower levels than the corresponding tumors. In conclusion, this study establishes PMGs as a widely occurring modification of human proteins, and further studies are needed to elucidate the biosynthesis, function and tissue- as well as protein-associated expression of PMGs.
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Affiliation(s)
- Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300RC, Leiden, The Netherlands
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23
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Gray CJ, Migas LG, Barran PE, Pagel K, Seeberger PH, Eyers CE, Boons GJ, Pohl NLB, Compagnon I, Widmalm G, Flitsch SL. Advancing Solutions to the Carbohydrate Sequencing Challenge. J Am Chem Soc 2019; 141:14463-14479. [PMID: 31403778 DOI: 10.1021/jacs.9b06406] [Citation(s) in RCA: 90] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Carbohydrates possess a variety of distinct features with stereochemistry playing a particularly important role in distinguishing their structure and function. Monosaccharide building blocks are defined by a high density of chiral centers. Additionally, the anomericity and regiochemistry of the glycosidic linkages carry important biological information. Any carbohydrate-sequencing method needs to be precise in determining all aspects of this stereodiversity. Recently, several advances have been made in developing fast and precise analytical techniques that have the potential to address the stereochemical complexity of carbohydrates. This perspective seeks to provide an overview of some of these emerging techniques, focusing on those that are based on NMR and MS-hybridized technologies including ion mobility spectrometry and IR spectroscopy.
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Affiliation(s)
- Christopher J Gray
- School of Chemistry & Manchester Institute of Biotechnology , The University of Manchester , 131 Princess Street , Manchester M1 7DN , U.K
| | - Lukasz G Migas
- School of Chemistry & Manchester Institute of Biotechnology , The University of Manchester , 131 Princess Street , Manchester M1 7DN , U.K
| | - Perdita E Barran
- School of Chemistry & Manchester Institute of Biotechnology , The University of Manchester , 131 Princess Street , Manchester M1 7DN , U.K
| | - Kevin Pagel
- Institute for Chemistry and Biochemistry , Freie Universität Berlin , Takustraße 3 , 14195 Berlin , Germany
| | - Peter H Seeberger
- Biomolecular Systems Department , Max Planck Institute for Colloids and Interfaces , Am Muehlenberg 1 , 14476 Potsdam , Germany
| | - Claire E Eyers
- Department of Biochemistry, Institute of Integrative Biology , University of Liverpool , Crown Street , Liverpool L69 7ZB , U.K
| | - Geert-Jan Boons
- Complex Carbohydrate Research Center , University of Georgia , Athens , Georgia 30602 , United States
| | - Nicola L B Pohl
- Department of Chemistry , Indiana University , Bloomington , Indiana 47405 , United States
| | - Isabelle Compagnon
- Institut Lumière Matière, UMR5306 Université Lyon 1-CNRS , Université de Lyon , 69622 Villeurbanne Cedex , France.,Institut Universitaire de France IUF , 103 Blvd St Michel , 75005 Paris , France
| | - Göran Widmalm
- Department of Organic Chemistry, Arrhenius Laboratory , Stockholm University , S-106 91 Stockholm , Sweden
| | - Sabine L Flitsch
- School of Chemistry & Manchester Institute of Biotechnology , The University of Manchester , 131 Princess Street , Manchester M1 7DN , U.K
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24
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Rojas-Macias MA, Mariethoz J, Andersson P, Jin C, Venkatakrishnan V, Aoki NP, Shinmachi D, Ashwood C, Madunic K, Zhang T, Miller RL, Horlacher O, Struwe WB, Watanabe Y, Okuda S, Levander F, Kolarich D, Rudd PM, Wuhrer M, Kettner C, Packer NH, Aoki-Kinoshita KF, Lisacek F, Karlsson NG. Towards a standardized bioinformatics infrastructure for N- and O-glycomics. Nat Commun 2019; 10:3275. [PMID: 31332201 PMCID: PMC6796180 DOI: 10.1038/s41467-019-11131-x] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 06/24/2019] [Indexed: 12/21/2022] Open
Abstract
The mass spectrometry (MS)-based analysis of free polysaccharides and glycans released from proteins, lipids and proteoglycans increasingly relies on databases and software. Here, we review progress in the bioinformatics analysis of protein-released N- and O-linked glycans (N- and O-glycomics) and propose an e-infrastructure to overcome current deficits in data and experimental transparency. This workflow enables the standardized submission of MS-based glycomics information into the public repository UniCarb-DR. It implements the MIRAGE (Minimum Requirement for A Glycomics Experiment) reporting guidelines, storage of unprocessed MS data in the GlycoPOST repository and glycan structure registration using the GlyTouCan registry, thereby supporting the development and extension of a glycan structure knowledgebase.
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Affiliation(s)
- Miguel A Rojas-Macias
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Julien Mariethoz
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
- Computer Science Department, University of Geneva, Geneva, 1227, Switzerland
| | - Peter Andersson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Chunsheng Jin
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Vignesh Venkatakrishnan
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Nobuyuki P Aoki
- Soka University, Hachioji, 192-8577, Tokyo, Japan
- SparqLite LLC., Hachioji, 192-0032, Tokyo, Japan
| | - Daisuke Shinmachi
- Soka University, Hachioji, 192-8577, Tokyo, Japan
- SparqLite LLC., Hachioji, 192-0032, Tokyo, Japan
| | - Christopher Ashwood
- Department of Molecular Sciences, Macquarie University, Sydney, 2109, Australia
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | | | - Tao Zhang
- Leiden University Medical Center, Leiden, 2333ZA, Netherlands
| | - Rebecca L Miller
- Copenhagen Centre for Glycomics, Department of Cellular and Molecular Medicine, University of Copenhagen, København, DK-2200, Denmark
| | - Oliver Horlacher
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
| | - Weston B Struwe
- Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, OX1 3TA, UK
| | - Yu Watanabe
- Graduate School of Medical and Dental Sciences, Niigata University, 950-2181, Niigata, Japan
| | - Shujiro Okuda
- Graduate School of Medical and Dental Sciences, Niigata University, 950-2181, Niigata, Japan
| | - Fredrik Levander
- National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Department of Immunotechnology, Lund University, Lund, 22387, Sweden
| | - Daniel Kolarich
- Institute for Glycomics, Gold Coast Campus, Griffith University, Gold Coast, QLD, QLD 4222, Australia
- ARC Centre for Nanoscale BioPhotonics, Macquarie University and Griffith University, North Ryde and Gold Coast, NSW and QLD, NSW 2109 and QLD 4222, Australia
| | - Pauline M Rudd
- Bioprocessing Technology Institute, AStar, Singapore, 138668, Singapore
| | - Manfred Wuhrer
- Leiden University Medical Center, Leiden, 2333ZA, Netherlands
| | | | - Nicolle H Packer
- Department of Molecular Sciences, Macquarie University, Sydney, 2109, Australia
- Institute for Glycomics, Gold Coast Campus, Griffith University, Gold Coast, QLD, QLD 4222, Australia
- ARC Centre for Nanoscale BioPhotonics, Macquarie University and Griffith University, North Ryde and Gold Coast, NSW and QLD, NSW 2109 and QLD 4222, Australia
| | | | - Frédérique Lisacek
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
- Computer Science Department, University of Geneva, Geneva, 1227, Switzerland
- Section of Biology, University of Geneva, Geneva, 1211, Switzerland
| | - Niclas G Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden.
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Jin C, Harvey DJ, Struwe WB, Karlsson NG. Separation of Isomeric O-Glycans by Ion Mobility and Liquid Chromatography–Mass Spectrometry. Anal Chem 2019; 91:10604-10613. [DOI: 10.1021/acs.analchem.9b01772] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Chunsheng Jin
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - David J. Harvey
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, United Kingdom
| | - Weston B. Struwe
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, United Kingdom
- Chemistry Research laboratory, Department of Chemistry, University of Oxford, 12 Mansfield Road, Oxford OX1 3TA, United Kingdom
| | - Niclas G. Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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26
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Issa SMA, Vitiazeva V, Hayes CA, Karlsson NG. Higher Energy Collisional Dissociation Mass Spectrometry of Sulfated O-Linked Oligosaccharides. J Proteome Res 2018; 17:3259-3267. [DOI: 10.1021/acs.jproteome.8b00376] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Samah M. A. Issa
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Box 440, Medicinaregatan 9A, 405 30 Gothenburg, Sweden
| | - Varvara Vitiazeva
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Box 440, Medicinaregatan 9A, 405 30 Gothenburg, Sweden
| | - Catherine A. Hayes
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Box 440, Medicinaregatan 9A, 405 30 Gothenburg, Sweden
| | - Niclas G. Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Box 440, Medicinaregatan 9A, 405 30 Gothenburg, Sweden
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27
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2013-2014. MASS SPECTROMETRY REVIEWS 2018; 37:353-491. [PMID: 29687922 DOI: 10.1002/mas.21530] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 11/29/2016] [Indexed: 06/08/2023]
Abstract
This review is the eighth update of the original article published in 1999 on the application of Matrix-assisted laser desorption/ionization mass spectrometry (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2014. Topics covered in the first part of the review include general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, and arrays. The second part of the review is devoted to applications to various structural types such as oligo- and poly- saccharides, glycoproteins, glycolipids, glycosides, and biopharmaceuticals. Much of this material is presented in tabular form. The third part of the review covers medical and industrial applications of the technique, studies of enzyme reactions, and applications to chemical synthesis. © 2018 Wiley Periodicals, Inc. Mass Spec Rev 37:353-491, 2018.
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Affiliation(s)
- David J Harvey
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, United Kingdom
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28
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Mirgorodskaya E, Karlsson NG, Sihlbom C, Larson G, Nilsson CL. Cracking the Sugar Code by Mass Spectrometry : An Invited Perspective in Honor of Dr. Catherine E. Costello, Recipient of the 2017 ASMS Distinguished Contribution Award. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2018; 29:1065-1074. [PMID: 29644549 PMCID: PMC6003999 DOI: 10.1007/s13361-018-1912-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 02/06/2018] [Accepted: 02/07/2018] [Indexed: 06/08/2023]
Abstract
The structural study of glycans and glycoconjugates is essential to assign their roles in homeostasis, health, and disease. Once dominated by nuclear magnetic resonance spectroscopy, mass spectrometric methods have become the preferred toolbox for the determination of glycan structures at high sensitivity. The patterns of such structures in different cellular states now allow us to interpret the sugar codes in health and disease, based on structure-function relationships. Dr. Catherine E. Costello was the 2017 recipient of the American Society for Mass Spectrometry's Distinguished Contribution Award. In this Perspective article, we describe her seminal work in a historical and geographical context and review the impact of her research accomplishments in the field.8 ᅟ Graphical abstract.
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Affiliation(s)
- Ekaterina Mirgorodskaya
- Proteomics Core Facility, University of Gothenburg, Sahlgrenska Academy, Box 413, SE-405 30, Gothenburg, Sweden
| | - Niclas G Karlsson
- Department of Medical Biochemistry, University of Gothenburg, Sahlgrenska Academy, Box 440, SE-405 30, Gothenburg, Sweden
| | - Carina Sihlbom
- Proteomics Core Facility, University of Gothenburg, Sahlgrenska Academy, Box 413, SE-405 30, Gothenburg, Sweden
| | - Göran Larson
- Department of Clinical Chemistry and Transfusion Medicine, University of Gothenburg, Sahlgrenska Academy, Institute of Biomedicine, SE-413 45, Gothenburg, Sweden
| | - Carol L Nilsson
- Department of Experimental Medical Science, Lund University, SE-223 62, Lund, Sweden.
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29
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Simple Method for De Novo Structural Determination of Underivatised Glucose Oligosaccharides. Sci Rep 2018; 8:5562. [PMID: 29615745 PMCID: PMC5882935 DOI: 10.1038/s41598-018-23903-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 03/22/2018] [Indexed: 12/04/2022] Open
Abstract
Carbohydrates have various functions in biological systems. However, the structural analysis of carbohydrates remains challenging. Most of the commonly used methods involve derivatization of carbohydrates or can only identify part of the structure. Here, we report a de novo method for completely structural identification of underivatised oligosaccharides. This method, which can provide assignments of linkages, anomeric configurations, and branch locations, entails low-energy collision-induced dissociation (CID) of sodium ion adducts that enable the cleavage of selective chemical bonds, a logical procedure to identify structurally decisive fragment ions for subsequent CID, and the specially prepared disaccharide CID spectrum databases. This method was first applied to determine the structures of four underivatised glucose oligosaccharides. Then, high-performance liquid chromatography and a mass spectrometer with a built-in logical procedure were established to demonstrate the capability of the in situ CID spectrum measurement and structural determination of the oligosaccharides in chromatogram. This consolidation provides a simple, rapid, sensitive method for the structural determination of glucose oligosaccharides, and applications to oligosaccharides containing hexoses other than glucose can be made provided the corresponding disaccharide databases are available.
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30
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Williams C, Royo F, Aizpurua-Olaizola O, Pazos R, Boons GJ, Reichardt NC, Falcon-Perez JM. Glycosylation of extracellular vesicles: current knowledge, tools and clinical perspectives. J Extracell Vesicles 2018. [PMID: 29535851 PMCID: PMC5844028 DOI: 10.1080/20013078.2018.1442985] [Citation(s) in RCA: 151] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
It is now acknowledged that extracellular vesicles (EVs) are important effectors in a vast number of biological processes through intercellular transfer of biomolecules. Increasing research efforts in the EV field have yielded an appreciation for the potential role of glycans in EV function. Indeed, recent reports show that the presence of glycoconjugates is involved in EV biogenesis, in cellular recognition and in the efficient uptake of EVs by recipient cells. It is clear that a full understanding of EV biology will require researchers to focus also on EV glycosylation through glycomics approaches. This review outlines the major glycomics techniques that have been applied to EVs in the context of the recent findings. Beyond understanding the mechanisms by which EVs mediate their physiological functions, glycosylation also provides opportunities by which to engineer EVs for therapeutic and diagnostic purposes. Studies characterising the glycan composition of EVs have highlighted glycome changes in various disease states, thus indicating potential for EV glycans as diagnostic markers. Meanwhile, glycans have been targeted as molecular handles for affinity-based isolation in both research and clinical contexts. An overview of current strategies to exploit EV glycosylation and a discussion of the implications of recent findings for the burgeoning EV industry follows the below review of glycomics and its application to EV biology.
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Affiliation(s)
- Charles Williams
- Exosomes Laboratory. CIC bioGUNE, CIBER, Bizkaia, Spain.,Glycotechnology Laboratory, CIC BiomaGUNE, San Sebastian, Spain
| | - Felix Royo
- Exosomes Laboratory. CIC bioGUNE, CIBER, Bizkaia, Spain
| | - Oier Aizpurua-Olaizola
- Exosomes Laboratory. CIC bioGUNE, CIBER, Bizkaia, Spain.,Department of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, The Netherlands
| | - Raquel Pazos
- Glycotechnology Laboratory, CIC BiomaGUNE, San Sebastian, Spain
| | - Geert-Jan Boons
- Department of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, The Netherlands
| | | | - Juan M Falcon-Perez
- Exosomes Laboratory. CIC bioGUNE, CIBER, Bizkaia, Spain.,CIBER-BBN, San Sebastian, Spain.,IKERBASQUE Basque Foundation for science, Bilbao, Spain
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31
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Wilsdorf M, Schmidt D, Bartetzko MP, Dallabernardina P, Schuhmacher F, Seeberger PH, Pfrengle F. A traceless photocleavable linker for the automated glycan assembly of carbohydrates with free reducing ends. Chem Commun (Camb) 2018; 52:10187-9. [PMID: 27463261 DOI: 10.1039/c6cc04954k] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
We report a traceless photocleavable linker for the automated glycan assembly of carbohydrates with free reducing ends. The reductive-labile functionality in the linker tolerates all commonly used reagents and protocols for automated glycan assembly, as demonstrated with the successful preparation of nine plant cell wall-related oligosaccharides, and is cleaved by hydrogenolysis.
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Affiliation(s)
- M Wilsdorf
- Department of Biomolecular Systems, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany.
| | - D Schmidt
- Department of Biomolecular Systems, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany. and Freie Universität Berlin, Institute of Chemistry and Biochemistry, Arnimallee 22, 14195 Berlin, Germany
| | - M P Bartetzko
- Department of Biomolecular Systems, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany. and Freie Universität Berlin, Institute of Chemistry and Biochemistry, Arnimallee 22, 14195 Berlin, Germany
| | - P Dallabernardina
- Department of Biomolecular Systems, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany. and Freie Universität Berlin, Institute of Chemistry and Biochemistry, Arnimallee 22, 14195 Berlin, Germany
| | - F Schuhmacher
- Department of Biomolecular Systems, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany. and Freie Universität Berlin, Institute of Chemistry and Biochemistry, Arnimallee 22, 14195 Berlin, Germany
| | - P H Seeberger
- Department of Biomolecular Systems, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany. and Freie Universität Berlin, Institute of Chemistry and Biochemistry, Arnimallee 22, 14195 Berlin, Germany
| | - F Pfrengle
- Department of Biomolecular Systems, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany. and Freie Universität Berlin, Institute of Chemistry and Biochemistry, Arnimallee 22, 14195 Berlin, Germany
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Everest-Dass AV, Moh ESX, Ashwood C, Shathili AMM, Packer NH. Human disease glycomics: technology advances enabling protein glycosylation analysis - part 1. Expert Rev Proteomics 2018; 15:165-182. [PMID: 29285957 DOI: 10.1080/14789450.2018.1421946] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
INTRODUCTION Protein glycosylation is recognized as an important post-translational modification, with specific substructures having significant effects on protein folding, conformation, distribution, stability and activity. However, due to the structural complexity of glycans, elucidating glycan structure-function relationships is demanding. The fine detail of glycan structures attached to proteins (including sequence, branching, linkage and anomericity) is still best analysed after the glycans are released from the purified or mixture of glycoproteins (glycomics). The technologies currently available for glycomics are becoming streamlined and standardized and many features of protein glycosylation can now be determined using instruments available in most protein analytical laboratories. Areas covered: This review focuses on the current glycomics technologies being commonly used for the analysis of the microheterogeneity of monosaccharide composition, sequence, branching and linkage of released N- and O-linked glycans that enable the determination of precise glycan structural determinants presented on secreted proteins and on the surface of all cells. Expert commentary: Several emerging advances in these technologies enabling glycomics analysis are discussed. The technological and bioinformatics requirements to be able to accurately assign these precise glycan features at biological levels in a disease context are assessed.
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Affiliation(s)
- Arun V Everest-Dass
- a Biomolecular Discovery and Design Research Centre, Faculty of Science and Engineering , Macquarie University , Sydney , Australia.,b Institute for Glycomics , Griffith University , Gold Coast , Australia.,c ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Edward S X Moh
- a Biomolecular Discovery and Design Research Centre, Faculty of Science and Engineering , Macquarie University , Sydney , Australia.,c ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Christopher Ashwood
- a Biomolecular Discovery and Design Research Centre, Faculty of Science and Engineering , Macquarie University , Sydney , Australia.,c ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Abdulrahman M M Shathili
- a Biomolecular Discovery and Design Research Centre, Faculty of Science and Engineering , Macquarie University , Sydney , Australia.,c ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Nicolle H Packer
- a Biomolecular Discovery and Design Research Centre, Faculty of Science and Engineering , Macquarie University , Sydney , Australia.,b Institute for Glycomics , Griffith University , Gold Coast , Australia.,c ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
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33
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Adamczyk B, Jin C, Polom K, Muñoz P, Rojas-Macias MA, Zeeberg D, Borén M, Roviello F, Karlsson NG. Sample handling of gastric tissue and O-glycan alterations in paired gastric cancer and non-tumorigenic tissues. Sci Rep 2018; 8:242. [PMID: 29321476 PMCID: PMC5762837 DOI: 10.1038/s41598-017-18299-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 12/07/2017] [Indexed: 12/13/2022] Open
Abstract
Sample collection, handling and storage are the most critical steps for ensuring the highest preservation of specimens. Pre-analytical variability can influence the results as protein signatures alter rapidly after tissue excision or during long-term storage. Hence, we evaluated current state-of-the-art biobank preservation methods from a glycomics perspective and analyzed O-glycan alterations occurring in the gastric cancer tissues. Paired tumor and adjacent normal tissue samples were obtained from six patients undergoing gastric cancer surgery. Collected samples (n = 24) were either snap-frozen or heat stabilized and then homogenized. Glycans were released from extracted glycoproteins and analyzed by LC-MS/MS. In total, the relative abundance of 83 O-glycans and 17 derived structural features were used for comparison. There was no statistically significant difference found in variables between snap frozen and heat-stabilized samples, which indicated the two preservation methods were comparable. The data also showed significant changes between normal and cancerous tissue. In addition to a shift from high sialylation in the cancer area towards blood group ABO in the normal area, we also detected that the LacdiNAc epitope (N,N'-diacetyllactosamine) was significantly decreased in cancer samples. The O-glycan alterations that are presented here may provide predictive power for the detection and prognosis of gastric cancer.
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Affiliation(s)
- Barbara Adamczyk
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Chunsheng Jin
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Karol Polom
- Department General Surgery and Surgical Oncology, University of Siena, Siena, Italy
- Department of Surgical Oncology, Medical University of Gdansk, Gdansk, Poland
| | - Pedro Muñoz
- Department of Biochemistry and Molecular Biology III, School of Medicine, Complutense University of Madrid, Madrid, Spain
| | - Miguel A Rojas-Macias
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Mats Borén
- Denator AB, Uppsala Science Park, Uppsala, Sweden
| | - Franco Roviello
- Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
| | - Niclas G Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
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Rabus JM, Simmons DR, Maître P, Bythell BJ. Deprotonated carbohydrate anion fragmentation chemistry: structural evidence from tandem mass spectrometry, infra-red spectroscopy, and theory. Phys Chem Chem Phys 2018; 20:27897-27909. [DOI: 10.1039/c8cp02620c] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
We investigate the gas-phase structures and fragmentation chemistry of deprotonated carbohydrate anions using combined tandem mass spectrometry, infrared spectroscopy, regioselective labelling, and theory.
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Affiliation(s)
- Jordan M. Rabus
- Department of Chemistry and Biochemistry
- University of Missouri-St. Louis
- St. Louis
- USA
| | - Daniel R. Simmons
- Department of Chemistry and Biochemistry
- University of Missouri-St. Louis
- St. Louis
- USA
| | - Philippe Maître
- Laboratoire de Chimie Physique (UMR8000)
- CNRS
- Univ. Paris-Sud
- Université Paris-Saclay
- Orsay
| | - Benjamin J. Bythell
- Department of Chemistry and Biochemistry
- University of Missouri-St. Louis
- St. Louis
- USA
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35
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Isomeric Separation and Characterisation of Glycoconjugates. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018; 1104:77-99. [DOI: 10.1007/978-981-13-2158-0_5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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36
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O'Flaherty R, Trbojević-Akmačić I, Greville G, Rudd PM, Lauc G. The sweet spot for biologics: recent advances in characterization of biotherapeutic glycoproteins. Expert Rev Proteomics 2017; 15:13-29. [PMID: 29130774 DOI: 10.1080/14789450.2018.1404907] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Glycosylation is recognized as a Critical Quality Attribute for therapeutic glycoproteins such as monoclonal antibodies, fusion proteins and therapeutic replacement enzymes. Hence, efficient and quantitative glycan analysis techniques have been increasingly important for their discovery, development and quality control. The aim of this review is to highlight relevant and recent advances in analytical technologies for characterization of biotherapeutic glycoproteins. Areas covered: The review gives an overview of the glycosylation trends of biotherapeutics approved in 2016 and 2017 by FDA. It describes current and novel analytical technologies for characterization of therapeutic glycoproteins and is explored in the context of released glycan, glycopeptide or intact glycoprotein analysis. Ultra performance liquid chromatography, mass spectrometry and capillary electrophoresis technologies are explored in this context. Expert commentary: There is a need for the biopharmaceutical industry to incorporate novel state of the art analytical technologies into existing and new therapeutic glycoprotein workflows for safer and more efficient biotherapeutics and for the improvement of future biotherapeutic design. Additionally, at present, there is no 'gold-standard' approach to address all the regulatory requirements and as such this will involve the use of orthogonal glycoanalytical technologies with a view to gain diagnostic information about the therapeutic glycoprotein.
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Affiliation(s)
- Róisín O'Flaherty
- a NIBRT GlycoScience Group , National Institute for Bioprocessing, Research and Training , Blackrock, Co. Dublin , Ireland
| | | | - Gordon Greville
- a NIBRT GlycoScience Group , National Institute for Bioprocessing, Research and Training , Blackrock, Co. Dublin , Ireland
| | - Pauline M Rudd
- a NIBRT GlycoScience Group , National Institute for Bioprocessing, Research and Training , Blackrock, Co. Dublin , Ireland
| | - Gordan Lauc
- b Genos Glycoscience Research Laboratory , 10000 , Zagreb , Croatia.,c Faculty of Pharmacy and Biochemistry , University of Zagreb , Zagreb , Croatia
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37
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Anugraham M, Jacob F, Everest-Dass AV, Schoetzau A, Nixdorf S, Hacker NF, Fink D, Heinzelmann-Schwarz V, Packer NH. Tissue glycomics distinguish tumour sites in women with advanced serous adenocarcinoma. Mol Oncol 2017; 11:1595-1615. [PMID: 28853212 PMCID: PMC5663998 DOI: 10.1002/1878-0261.12134] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2017] [Revised: 08/06/2017] [Accepted: 08/11/2017] [Indexed: 11/08/2022] Open
Abstract
In the era of precision medicine, the tailoring of cancer treatment is increasingly important as we transition from organ‐based diagnosis towards a more comprehensive and patient‐centric molecular diagnosis. This is particularly the case for high‐grade serous adenocarcinomas of the ovary and peritoneum, which are commonly diagnosed at an advanced stage, and collectively treated and managed similarly. We characterized the N‐ and O‐glycome of serous ovarian (OC) and peritoneal cancer (PC) tissues using PGC‐LC‐ESI‐IT‐MS/MS profiling and validated the discriminatory glycans and their corresponding glyco‐gene expression levels using cell lines and transcriptomic data from 232 patients. Overall, the N‐ and O‐glycan repertoires of both cancer types were found to comprise mostly of α2,6‐sialylated glycan structures, with the majority of N‐glycans displaying the biantennary mono‐ and disialylation as well as bisecting‐type biantennary glycans. The MS profiling by PGC‐LC also revealed several glycan structural isomers that corresponded to LacdiNAc‐type (GalNAcβ1‐4GlcNAc) motifs that were unique to the serous ovarian cancers and that correlated with elevated gene expression of B4GALNT3 and B4GALNT4 in patients with serous cancer. Statistical evaluation of the discriminatory glycans also revealed 13 N‐ and 3 O‐glycans (P < 0.05) that significantly discriminated tumour‐sampling sites, with LacdiNAc‐type N‐glycans (m/z 1205.02− and m/z 1059.42−) being associated with ovarian‐derived cancer tissue and bisecting GlcNAc‐type (m/z 994.92−) and branched N‐glycans (m/z 1294.02− and m/z 1148.42−) upregulated at the metastatic sites. Hence, we demonstrate for the first time that OC and PC display distinct molecular signatures at both their glycomic and transcriptomic levels. These signatures may have potential utility for the development of accurate diagnosis and personalized treatments.
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Affiliation(s)
- Merrina Anugraham
- Department of Chemistry & Biomolecular Sciences, Biomolecular Discovery & Design Research Centre, Faculty of Science and Engineering, Macquarie University, North Ryde, NSW, Australia.,Glyco-oncology, Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel, University of Basel, Switzerland
| | - Francis Jacob
- Glyco-oncology, Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel, University of Basel, Switzerland
| | - Arun V Everest-Dass
- Department of Chemistry & Biomolecular Sciences, Biomolecular Discovery & Design Research Centre, Faculty of Science and Engineering, Macquarie University, North Ryde, NSW, Australia.,Australian Research Council Centre of Excellence in Nanoscale Biophotonics, Macquarie University, North Ryde, NSW, Australia.,Glycomics Institute, Griffith University, Gold Coast, Queensland, Australia
| | - Andreas Schoetzau
- Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel, University of Basel, Switzerland
| | - Sheri Nixdorf
- Gynecological Research, Adult Cancer Program, Lowy Cancer Research Centre, University of New South Wales, Sydney, Australia
| | - Neville F Hacker
- Royal Hospital for Women, Gynecological Cancer Centre, School of Women's and Children's Health, University of New South Wales, Sydney, Australia
| | - Daniel Fink
- Department of Gynecology, University Hospital Zurich, Switzerland
| | - Viola Heinzelmann-Schwarz
- Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel, University of Basel, Switzerland.,Hospital for Women, Department of Gynecology and Gynecological Oncology, University Hospital Basel, University of Basel, Switzerland
| | - Nicolle H Packer
- Department of Chemistry & Biomolecular Sciences, Biomolecular Discovery & Design Research Centre, Faculty of Science and Engineering, Macquarie University, North Ryde, NSW, Australia.,Australian Research Council Centre of Excellence in Nanoscale Biophotonics, Macquarie University, North Ryde, NSW, Australia.,Glycomics Institute, Griffith University, Gold Coast, Queensland, Australia
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38
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Abrahams JL, Campbell MP, Packer NH. Building a PGC-LC-MS N-glycan retention library and elution mapping resource. Glycoconj J 2017; 35:15-29. [PMID: 28905148 DOI: 10.1007/s10719-017-9793-4] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 08/10/2017] [Accepted: 08/18/2017] [Indexed: 11/27/2022]
Abstract
Porous graphitised carbon-liquid chromatography (PGC-LC) has been proven to be a powerful technique for the analysis and characterisation of complex mixtures of isomeric and isobaric glycan structures. Here we evaluate the elution behaviour of N-glycans on PGC-LC and thereby provide the potential of using chromatographic separation properties, together with mass spectrometry (MS) fragmentation, to determine glycan structure assignments more easily. We used previously reported N-glycan structures released from the purified glycoproteins Immunoglobulin G (IgG), Immunoglobulin A (IgA), lactoferrin, α1-acid glycoprotein, Ribonuclease B (RNase B), fetuin and ovalbumin to profile their behaviour on capillary PGC-LC-MS. Over 100 glycan structures were determined by MS/MS, and together with targeted exoglycosidase digestions, created a N-glycan PGC retention library covering a full spectrum of biologically significant N-glycans from pauci mannose to sialylated tetra-antennary classes. The resultant PGC retention library ( http://www.glycostore.org/showPgc ) incorporates retention times and supporting fragmentation spectra including exoglycosidase digestion products, and provides detailed knowledge on the elution properties of N-glycans by PGC-LC. Consequently, this platform should serve as a valuable resource for facilitating the detailed analysis of the glycosylation of both purified recombinant, and complex mixtures of, glycoproteins using established workflows.
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Affiliation(s)
- Jodie L Abrahams
- Department of Chemistry and Biomolecular Sciences, Faculty of Science & Engineering, Macquarie University, North Ryde, Sydney, NSW, 2109, Australia
- Institute for Glycomics, Griffith University, QLD, Gold Coast, 4222, Australia
| | - Matthew P Campbell
- Department of Chemistry and Biomolecular Sciences, Faculty of Science & Engineering, Macquarie University, North Ryde, Sydney, NSW, 2109, Australia
- Institute for Glycomics, Griffith University, QLD, Gold Coast, 4222, Australia
| | - Nicolle H Packer
- Department of Chemistry and Biomolecular Sciences, Faculty of Science & Engineering, Macquarie University, North Ryde, Sydney, NSW, 2109, Australia.
- Institute for Glycomics, Griffith University, QLD, Gold Coast, 4222, Australia.
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39
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Hecht ES, Loziuk PL, Muddiman DC. Xylose Migration During Tandem Mass Spectrometry of N-Linked Glycans. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2017; 28:729-732. [PMID: 28127681 PMCID: PMC5373971 DOI: 10.1007/s13361-016-1588-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Revised: 12/13/2016] [Accepted: 12/25/2016] [Indexed: 05/15/2023]
Abstract
Understanding the rearrangement of gas-phase ions via tandem mass spectrometry is critical to improving manual and automated interpretation of complex datasets. N-glycan analysis may be carried out under collision induced (CID) or higher energy collision dissociation (HCD), which favors cleavage at the glycosidic bond. However, fucose migration has been observed in tandem MS, leading to the formation of new bonds over four saccharide units away. In the following work, we report the second instance of saccharide migration ever to occur for N-glycans. Using horseradish peroxidase as a standard, the beta-1,2 xylose was observed to migrate from a hexose to a glucosamine residue on the (Xyl)Man3GlcNac2 glycan. This investigation was followed up in a complex N-linked glycan mixture derived from stem differentiating xylem tissue, and the rearranged product ion was observed for 75% of the glycans. Rearrangement was not favored in isomeric glycans with a core or antennae fucose and unobserved in glycans predicted to have a permanent core-fucose modification. As the first empirical observation of this rearrangement, this work warrants dissemination so it may be searched in de novo sequencing glycan workflows. Graphical Abstract ᅟ.
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Affiliation(s)
- Elizabeth S Hecht
- W.M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA
| | - Philip L Loziuk
- W.M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA
| | - David C Muddiman
- W.M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA.
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40
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Karlsson NG, Jin C, Rojas-Macias MA, Adamczyk B. Next Generation O-Linked Glycomics. TRENDS GLYCOSCI GLYC 2017. [DOI: 10.4052/tigg.1602.1e] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- Niclas G. Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
| | - Chunsheng Jin
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
| | - Miguel A. Rojas-Macias
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
| | - Barbara Adamczyk
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
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41
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Lisacek F, Mariethoz J, Alocci D, Rudd PM, Abrahams JL, Campbell MP, Packer NH, Ståhle J, Widmalm G, Mullen E, Adamczyk B, Rojas-Macias MA, Jin C, Karlsson NG. Databases and Associated Tools for Glycomics and Glycoproteomics. Methods Mol Biol 2017; 1503:235-264. [PMID: 27743371 DOI: 10.1007/978-1-4939-6493-2_18] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
The access to biodatabases for glycomics and glycoproteomics has proven to be essential for current glycobiological research. This chapter presents available databases that are devoted to different aspects of glycobioinformatics. This includes oligosaccharide sequence databases, experimental databases, 3D structure databases (of both glycans and glycorelated proteins) and association of glycans with tissue, disease, and proteins. Specific search protocols are also provided using tools associated with experimental databases for converting primary glycoanalytical data to glycan structural information. In particular, researchers using glycoanalysis methods by U/HPLC (GlycoBase), MS (GlycoWorkbench, UniCarb-DB, GlycoDigest), and NMR (CASPER) will benefit from this chapter. In addition we also include information on how to utilize glycan structural information to query databases that associate glycans with proteins (UniCarbKB) and with interactions with pathogens (SugarBind).
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Affiliation(s)
- Frederique Lisacek
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Julien Mariethoz
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Davide Alocci
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Pauline M Rudd
- NIBRT GlycoScience Group, NIBRT-The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co., Dublin, Ireland
| | - Jodie L Abrahams
- Biomolecular Frontiers Research Centre, Macquarie University, North Ryde, NSW, Australia
| | - Matthew P Campbell
- Biomolecular Frontiers Research Centre, Macquarie University, North Ryde, NSW, Australia
| | - Nicolle H Packer
- Biomolecular Frontiers Research Centre, Macquarie University, North Ryde, NSW, Australia
| | - Jonas Ståhle
- Department of Organic Chemistry, Arrhenius Laboratory, Stockholm University, Stockholm, Sweden
| | - Göran Widmalm
- Department of Organic Chemistry, Arrhenius Laboratory, Stockholm University, Stockholm, Sweden
| | | | - Barbara Adamczyk
- NIBRT GlycoScience Group, NIBRT-The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co., Dublin, Ireland
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Box 440, 405 30, Gothenburg, Sweden
| | - Miguel A Rojas-Macias
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Box 440, 405 30, Gothenburg, Sweden
| | - Chunsheng Jin
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Box 440, 405 30, Gothenburg, Sweden
| | - Niclas G Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Box 440, 405 30, Gothenburg, Sweden.
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42
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Wang X, Peng Q, Li P, Zhang Q, Ding X, Zhang W, Zhang L. Identification of triacylglycerol using automated annotation of high resolution multistage mass spectral trees. Anal Chim Acta 2016; 940:84-91. [DOI: 10.1016/j.aca.2016.07.036] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 07/20/2016] [Accepted: 07/26/2016] [Indexed: 10/21/2022]
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43
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Gray C, Thomas B, Upton R, Migas L, Eyers C, Barran P, Flitsch S. Applications of ion mobility mass spectrometry for high throughput, high resolution glycan analysis. Biochim Biophys Acta Gen Subj 2016; 1860:1688-709. [DOI: 10.1016/j.bbagen.2016.02.003] [Citation(s) in RCA: 108] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 02/01/2016] [Accepted: 02/02/2016] [Indexed: 12/21/2022]
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Comparison of analytical methods for profiling N- and O-linked glycans from cultured cell lines : HUPO Human Disease Glycomics/Proteome Initiative multi-institutional study. Glycoconj J 2015; 33:405-415. [PMID: 26511985 DOI: 10.1007/s10719-015-9625-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2015] [Revised: 10/01/2015] [Accepted: 10/04/2015] [Indexed: 10/22/2022]
Abstract
The Human Disease Glycomics/Proteome Initiative (HGPI) is an activity in the Human Proteome Organization (HUPO) supported by leading researchers from international institutes and aims at development of disease-related glycomics/glycoproteomics analysis techniques. Since 2004, the initiative has conducted three pilot studies. The first two were N- and O-glycan analyses of purified transferrin and immunoglobulin-G and assessed the most appropriate analytical approach employed at the time. This paper describes the third study, which was conducted to compare different approaches for quantitation of N- and O-linked glycans attached to proteins in crude biological samples. The preliminary analysis on cell pellets resulted in wildly varied glycan profiles, which was probably the consequence of variations in the pre-processing sample preparation methodologies. However, the reproducibility of the data was not improved dramatically in the subsequent analysis on cell lysate fractions prepared in a specified method by one lab. The study demonstrated the difficulty of carrying out a complete analysis of the glycome in crude samples by any single technology and the importance of rigorous optimization of the course of analysis from preprocessing to data interpretation. It suggests that another collaborative study employing the latest technologies in this rapidly evolving field will help to realize the requirements of carrying out the large-scale analysis of glycoproteins in complex cell samples.
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45
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Yuriev E, Ramsland PA. Carbohydrates in Cyberspace. Front Immunol 2015; 6:300. [PMID: 26113848 PMCID: PMC4462093 DOI: 10.3389/fimmu.2015.00300] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Accepted: 05/26/2015] [Indexed: 11/13/2022] Open
Affiliation(s)
- Elizabeth Yuriev
- Monash Institute of Pharmaceutical Sciences, Monash University , Parkville, VIC , Australia
| | - Paul A Ramsland
- Centre for Biomedical Research, Burnet Institute , Melbourne, VIC , Australia ; Department of Immunology, Alfred Medical Research and Education Precinct, Monash University , Melbourne, VIC , Australia ; Department of Surgery Austin Health, University of Melbourne , Heidelberg, VIC , Australia ; CHIRI Biosciences, School of Biomedical Sciences, Curtin University , Perth, WA , Australia
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46
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Michael C, Rizzi AM. Quantitative isomer-specific N-glycan fingerprinting using isotope coded labeling and high performance liquid chromatography-electrospray ionization-mass spectrometry with graphitic carbon stationary phase. J Chromatogr A 2015; 1383:88-95. [PMID: 25638265 DOI: 10.1016/j.chroma.2015.01.028] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Revised: 12/17/2014] [Accepted: 01/12/2015] [Indexed: 12/25/2022]
Abstract
Glycan reductive isotope labeling (GRIL) using (12)C6-/(13)C6-aniline as labeling reagent is reported with the aim of quantitative N-glycan fingerprinting. Porous graphitized carbon (PGC) as stationary phase in capillary scale HPLC coupled to electrospray mass spectrometry with time of flight analyzer was applied for the determination of labeled N-glycans released from glycoproteins. The main benefit of using stable isotope-coding in the context of comparative glycomics lies in the improved accuracy and precision of the quantitative analysis in combined samples and in the potential of correcting for structure-dependent incomplete enzymatic release of oligosaccharides when comparing identical target proteins. The method was validated with respect to mobile phase parameters, reproducibility, accuracy, linearity and limit of detection/quantification (LOD/LOQ) using test glycoproteins. It is shown that the developed method is capable of determining relative amounts of N-glycans (including isomers) comparing two samples in one single HPLC-MS run. The analytical potential and usefulness of GRIL in combination with PGC-ESI-TOF-MS is demonstrated comparing glycosylation in human monoclonal antibodies produced in Chinese hamster ovary cells (CHO) and hybridoma cell lines.
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Affiliation(s)
- Claudia Michael
- Institute of Analytical Chemistry, University of Vienna, Währinger Straße 38, 1090 Vienna, Austria
| | - Andreas M Rizzi
- Institute of Analytical Chemistry, University of Vienna, Währinger Straße 38, 1090 Vienna, Austria.
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Stavenhagen K, Kolarich D, Wuhrer M. Clinical Glycomics Employing Graphitized Carbon Liquid Chromatography-Mass Spectrometry. Chromatographia 2014; 78:307-320. [PMID: 25750456 PMCID: PMC4346670 DOI: 10.1007/s10337-014-2813-7] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Revised: 10/25/2014] [Accepted: 11/13/2014] [Indexed: 12/25/2022]
Abstract
Glycoconjugates and free glycan are involved in a variety of biological processes such as cell-cell interaction and cell trafficking. Alterations in the complex glycosylation machinery have been correlated with various pathological processes including cancer progression and metastasis. Mass Spectrometry (MS) has evolved as one of the most powerful tools in glycomics and glycoproteomics and in combination with porous graphitized carbon-liquid chromatography (PGC-LC) it is a versatile and sensitive technique for the analysis of glycans and to some extent also glycopeptides. PGC-LC-ESI-MS analysis is characterized by a high isomer separation power enabling a specific glycan compound analysis on the level of individual structures. This allows the investigation of the biological relevance of particular glycan structures and glycan features. Consequently, this strategy is a very powerful technique suitable for clinical research, such as cancer biomarker discovery, as well as in-depth analysis of recombinant glycoproteins. In this review, we will focus on how PGC in conjunction with MS detection can deliver specific structural information for clinical research on protein-bound N-glycans and mucin-type O-glycans. In addition, we will briefly review PGC analysis approaches for glycopeptides, glycosaminoglycans (GAGs) and human milk oligosaccharides (HMOs). The presented applications cover systems that vary vastly with regard to complexity such as purified glycoproteins, cells, tissue or body fluids revealing specific glycosylation changes associated with various biological processes including cancer and inflammation.
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Affiliation(s)
- Kathrin Stavenhagen
- Division of BioAnalytical Chemistry, VU University Amsterdam, De Boelelaan 1083, 1081 HV Amsterdam, The Netherlands
| | - Daniel Kolarich
- Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, Wissenschaftspark Potsdam-Golm, Am Mühlenberg 1 OT Golm, 14242 Potsdam, Germany
| | - Manfred Wuhrer
- Division of BioAnalytical Chemistry, VU University Amsterdam, De Boelelaan 1083, 1081 HV Amsterdam, The Netherlands ; Department of Molecular Cell Biology and Immunology, VU University Medical Center, Amsterdam, The Netherlands ; Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
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48
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Ashline DJ, Hanneman AJS, Zhang H, Reinhold VN. Structural documentation of glycan epitopes: sequential mass spectrometry and spectral matching. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2014; 25:444-53. [PMID: 24385394 PMCID: PMC3950938 DOI: 10.1007/s13361-013-0776-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2013] [Revised: 10/09/2013] [Accepted: 10/09/2013] [Indexed: 05/27/2023]
Abstract
Documenting mass spectral data is a fundamental aspect of accepted protocols. In this report, we contrast MS(n) sequential disassembly spectra obtained from natural and synthetic glycan epitopes. The epitopes considered are clusters found on conjugate termini of lipids and N- and O-glycans of proteins. The latter are most frequently pendant through a CID-labile HexNAc glycosidic linkage. The synthetic samples were supplied by collaborating colleagues and commercial sources and usually possessed a readily released reducing-end linker, a by-product of synthesis. All samples were comparably methylated, extracted, and MS(n) disassembled to compare their linkage and branching spectral details. Both sample types provide B-ion type fragments early in a disassembly pathway and their compositions are a suggestion of structure. Further steps of disassembly are necessary to confirm the details of linkage and branching. Included in this study were various Lewis and H antigens, 3- and 6-linked sialyl-lactosamine, NeuAc-2,8-NeuAc dimer, and Galα1,3Gal. Sample infusion provided high quality spectral data whereas disassembly to small fragments generates reproducible high signal/noise spectra for spectral matching. All samples were analyzed as sodium adducted positive ions. This study includes comparability statistics and evaluations on several mass spectrometers.
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Affiliation(s)
| | | | - Hailong Zhang
- The Glycomics Center, Department of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, NH, 03824
| | - Vernon N. Reinhold
- The Glycomics Center, Department of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, NH, 03824
- Glycan Connections, LLC, Lee, New Hampshire, 03861
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