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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2019-2020. MASS SPECTROMETRY REVIEWS 2022:e21806. [PMID: 36468275 DOI: 10.1002/mas.21806] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
This review is the tenth update of the original article published in 1999 on the application of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2020. Also included are papers that describe methods appropriate to analysis by MALDI, such as sample preparation techniques, even though the ionization method is not MALDI. The review is basically divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification and the use of arrays. (2) Applications to various structural types such as oligo- and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals, and (3) other areas such as medicine, industrial processes and glycan synthesis where MALDI is extensively used. Much of the material relating to applications is presented in tabular form. The reported work shows increasing use of incorporation of new techniques such as ion mobility and the enormous impact that MALDI imaging is having. MALDI, although invented nearly 40 years ago is still an ideal technique for carbohydrate analysis and advancements in the technique and range of applications show little sign of diminishing.
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Affiliation(s)
- David J Harvey
- Nuffield Department of Medicine, Target Discovery Institute, University of Oxford, Oxford, UK
- Department of Chemistry, University of Oxford, Oxford, Oxfordshire, United Kingdom
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Dammen-Brower K, Epler P, Zhu S, Bernstein ZJ, Stabach PR, Braddock DT, Spangler JB, Yarema KJ. Strategies for Glycoengineering Therapeutic Proteins. Front Chem 2022; 10:863118. [PMID: 35494652 PMCID: PMC9043614 DOI: 10.3389/fchem.2022.863118] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 03/25/2022] [Indexed: 12/14/2022] Open
Abstract
Almost all therapeutic proteins are glycosylated, with the carbohydrate component playing a long-established, substantial role in the safety and pharmacokinetic properties of this dominant category of drugs. In the past few years and moving forward, glycosylation is increasingly being implicated in the pharmacodynamics and therapeutic efficacy of therapeutic proteins. This article provides illustrative examples of drugs that have already been improved through glycoengineering including cytokines exemplified by erythropoietin (EPO), enzymes (ectonucleotide pyrophosphatase 1, ENPP1), and IgG antibodies (e.g., afucosylated Gazyva®, Poteligeo®, Fasenra™, and Uplizna®). In the future, the deliberate modification of therapeutic protein glycosylation will become more prevalent as glycoengineering strategies, including sophisticated computer-aided tools for "building in" glycans sites, acceptance of a broad range of production systems with various glycosylation capabilities, and supplementation methods for introducing non-natural metabolites into glycosylation pathways further develop and become more accessible.
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Affiliation(s)
- Kris Dammen-Brower
- Translational Tissue Engineering Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, United States
| | - Paige Epler
- Translational Tissue Engineering Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, United States
| | - Stanley Zhu
- Translational Tissue Engineering Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, United States
| | - Zachary J. Bernstein
- Translational Tissue Engineering Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, United States
| | - Paul R. Stabach
- Department of Pathology, Yale University School of Medicine, New Haven, CT, United States
| | - Demetrios T. Braddock
- Department of Pathology, Yale University School of Medicine, New Haven, CT, United States
| | - Jamie B. Spangler
- Translational Tissue Engineering Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, United States
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, United States
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Kevin J. Yarema
- Translational Tissue Engineering Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, United States
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