1
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Xu M, Liu T, Xu J, Guo Q, Ren Y, Zhu W, Zhuang H, Pan Z, Fu R, Zhao X, Wang F, Mao Y, Song L, Song Y, Ji L, Qian W, Hou S, Wang R, Li J, Zhang D, Guo H. Rapid Mass Spectrometry-Based Multiattribute Method for Glycation Analysis with Integrated Afucosylation Detection Capability. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024. [PMID: 38970800 DOI: 10.1021/jasms.4c00063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/08/2024]
Abstract
The multiattribute method (MAM) has emerged as a powerful tool for simultaneously screening multiple product quality attributes of therapeutic antibodies. One such potential critical quality attribute (CQA) is glycation, a common modification that can impact the heterogeneity, functional activity, and immunogenicity of therapeutic antibodies. However, current methods for monitoring glycation levels in MAM are rare and not sufficiently rapid and accurate. In this study, an improved mass spectrometry (MS)-based MAM was developed to simultaneously monitor glycation and other quality attributes including afucosylation. The method was evaluated using two therapeutic antibodies with different glycosylation site numbers. Treatment with IdeS, Endo F2, and dithiothreitol generated three distinct subunits, and the glycation results obtained were similar to those treated with PNGase F, which is routinely used to release glycans; the sample processing time was greatly reduced while providing additional quality attribute information. The MS-based MAM was also employed to assess the glycation progression following forced glycation in various buffer solutions. A significant increase in oxidation was observed when forced glycation was conducted in an ammonium bicarbonate buffer solution, and a total of 23 potential glycation sites and 4 significantly oxidized sites were identified. Notably, we found that ammonium bicarbonate was found to specifically stimulate oxidation, while glycation had a synergistic effect on oxidation. These findings establish this study as a novel methodology for achieving a technologically advanced platform and concept that enhances the efficacy of product development and quality control, characterized by its broad-spectrum, rapid, and accurate nature.
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Affiliation(s)
- Mengjiao Xu
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
| | - Tao Liu
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
- Department of Oncology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Jin Xu
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Qingcheng Guo
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
- Taizhou Mabtech Pharmaceuticals Co., Ltd., Taizhou 225316, China
| | - Yule Ren
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
| | - Weifan Zhu
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
| | - Huangzhen Zhuang
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
| | - Zhiyuan Pan
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
| | - Rongrong Fu
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
| | - Xiang Zhao
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
| | - Fugui Wang
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
| | - Yanni Mao
- Waters Corporation, Shanghai 200126, China
| | | | | | - Lusha Ji
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Weizhu Qian
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Sheng Hou
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Rui Wang
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
| | - Jun Li
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Dapeng Zhang
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Huaizu Guo
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng 252059, China
- NMPA Key Laboratory for Quality Control of Therapeutic Monoclonal Antibodies, Shanghai 201203, China
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
- State Key Laboratory of Macromolecular Drugs and Large-Scale Manufacturing, Shanghai Zhangjiang Biotechnology Co., Ltd., Shanghai 201203, China
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2
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 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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3
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Lyman DF, Bell A, Black A, Dingerdissen H, Cauley E, Gogate N, Liu D, Joseph A, Kahsay R, Crichton DJ, Mehta A, Mazumder R. Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model. Glycobiology 2022; 32:855-870. [PMID: 35925813 PMCID: PMC9487899 DOI: 10.1093/glycob/cwac046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/30/2022] [Accepted: 07/04/2022] [Indexed: 11/13/2022] Open
Abstract
Molecular biomarkers measure discrete components of biological processes that can contribute to disorders when impaired. Great interest exists in discovering early cancer biomarkers to improve outcomes. Biomarkers represented in a standardized data model, integrated with multi-omics data, may improve understanding and use of novel biomarkers such as glycans and glycoconjugates. Among altered components in tumorigenesis, N-glycans exhibit substantial biomarker potential, when analyzed with their protein carriers. However, such data are distributed across publications and databases of diverse formats, which hampers their use in research and clinical application. Mass spectrometry measures of fifty N-glycans, on seven serum proteins in liver disease, were integrated (as a panel) into a cancer biomarker data model, providing a unique identifier, standard nomenclature, links to glycan resources, and accession and ontology annotations to standard protein, gene, disease, and biomarker information. Data provenance was documented with a standardized FDA-supported BioCompute Object. Using the biomarker data model allows capture of granular information, such as glycans with different levels of abundance in cirrhosis, hepatocellular carcinoma, and transplant groups. Such representation in a standardized data model harmonizes glycomics data in a unified framework, making glycan-protein biomarker data exploration more available to investigators and to other data resources. The biomarker data model we describe can be used by researchers to describe their novel glycan and glycoconjugate biomarkers, can integrate N-glycan biomarker data with multi-source biomedical data, and can foster discovery and insight within a unified data framework for glycan biomarker representation thereby making the data FAIR (Findable, Accessible, Interoperable, Reusable) (https://www.go-fair.org/fair-principles/).
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Affiliation(s)
- Daniel F Lyman
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - Amanda Bell
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - Alyson Black
- The Department of Cell & Molecular Pharmacology, The Medical University of South Carolina, Charleston, SC, 29403, United States of America
| | - Hayley Dingerdissen
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - Edmund Cauley
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America.,The McCormick Genomic and Proteomic Center, The George Washington University, Washington, DC 20037, United States of America
| | - Nikhita Gogate
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - David Liu
- NASA Jet Propulsion Laboratory, Pasadena, CA 91109, United States of America
| | - Ashia Joseph
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - Robel Kahsay
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - Daniel J Crichton
- NASA Jet Propulsion Laboratory, Pasadena, CA 91109, United States of America
| | - Anand Mehta
- The Department of Cell & Molecular Pharmacology, The Medical University of South Carolina, Charleston, SC, 29403, United States of America
| | - Raja Mazumder
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America.,The McCormick Genomic and Proteomic Center, The George Washington University, Washington, DC 20037, United States of America
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4
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Mastrangeli R, Audino MC, Palinsky W, Broly H, Bierau H. Current views on N-glycolylneuraminic acid in therapeutic recombinant proteins. Trends Pharmacol Sci 2021; 42:943-956. [PMID: 34544608 DOI: 10.1016/j.tips.2021.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 08/24/2021] [Accepted: 08/25/2021] [Indexed: 10/20/2022]
Abstract
The incorporation of the non-human N-glycolylneuraminic acid (Neu5Gc) in therapeutic recombinant proteins raises clinical concerns due to its immunogenic potential and the high prevalence of pre-existing anti-Neu5Gc antibodies in humans. The scientific literature is ambiguous regarding the actual impact of Neu5Gc-containing biotherapeutics as no severe adverse clinical manifestations were unequivocally attributed to Neu5Gc for currently marketed biotherapeutics. This review discusses structural and functional considerations of Neu5Gc-containing glycans regarding the potential impact on drug clearance, their recognition by pre-existing antibodies, and recent hypotheses regarding the tolerance to low Neu5Gc levels. Furthermore, it provides recommendations regarding the standardization of analysis and reporting, analytical aspects relevant for assessing risks associated with Neu5Gc-containing biotherapeutics, and approaches to minimize Neu5Gc incorporation in recombinant protein manufacturing.
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Affiliation(s)
- Renato Mastrangeli
- Technology & Innovation, CMC Science & Intelligence, Merck Serono SpA (an affiliate of Merck KgaA, Darmstadt, Germany), Guidonia Montecelio (Rome), Italy
| | - Maria Concetta Audino
- Technology & Innovation, CMC Science & Intelligence, Merck Serono SpA (an affiliate of Merck KgaA, Darmstadt, Germany), Guidonia Montecelio (Rome), Italy
| | - Wolf Palinsky
- Biotech Development Programme, Merck Biopharma (an affiliate of Merck KgaA, Darmstadt, Germany), Aubonne, Switzerland
| | - Hervé Broly
- Biotech Process Sciences, Merck Serono S.A. (an affiliate of Merck KgaA, Darmstadt, Germany), Corsier-sur-Vevey, Switzerland
| | - Horst Bierau
- Technology & Innovation, CMC Science & Intelligence, Merck Serono SpA (an affiliate of Merck KgaA, Darmstadt, Germany), Guidonia Montecelio (Rome), Italy.
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5
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Jeong S, Kim U, Oh M, Nam J, Park S, Choi Y, Lee D, Kim J, An H. Detection of Aberrant Glycosylation of Serum Haptoglobin for Gastric Cancer Diagnosis Using a Middle-Up-Down Glycoproteome Platform. J Pers Med 2021; 11:jpm11060575. [PMID: 34207451 PMCID: PMC8235735 DOI: 10.3390/jpm11060575] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 06/14/2021] [Accepted: 06/16/2021] [Indexed: 12/20/2022] Open
Abstract
Gastric cancer is a frequently occurring cancer and is the leading cause of cancer-related deaths. Recent studies have shown that aberrant glycosylation of serum haptoglobin is closely related to gastric cancer and has enormous potential for use in diagnosis. However, there is no platform with high reliability and high reproducibility to comprehensively analyze haptoglobin glycosylation covering microheterogeneity to macroheterogeneity for clinical applications. In this study, we developed a middle-up-down glycoproteome platform for fast and accurate monitoring of haptoglobin glycosylation. This platform utilizes an online purification of LC for sample desalting, and an in silico haptoglobin glycopeptide library constructed by combining peptides and N-glycans to readily identify glycopeptides. In addition, site-specific glycosylation with glycan heterogeneity can be obtained through only a single MS analysis. Haptoglobin glycosylation in clinical samples consisting of healthy controls (n = 47) and gastric cancer patients (n = 43) was extensively investigated using three groups of tryptic glycopeptides: GP1 (including Asn184), GP2 (including Asn207 and Asn211), and GP3 (including Asn241). A total of 23 individual glycopeptides were determined as potential biomarkers (p < 0.00001). In addition, to improve diagnostic efficacy, we derived representative group biomarkers with high AUC values (0.929 to 0.977) through logistic regression analysis for each GP group. It has been found that glycosylation of haptoglobin is highly associated with gastric cancer, especially the glycosite Asn241. Our assay not only allows to quickly and easily obtain information on glycosylation heterogeneity of a target glycoprotein but also makes it an efficient tool for biomarker discovery and clinical diagnosis.
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Affiliation(s)
- Seunghyup Jeong
- Asia-Pacific Glycomics Reference Site, Chungnam National University, Daejeon 34134, Korea; (S.J.); (M.O.); (J.N.)
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Korea
| | | | - Myungjin Oh
- Asia-Pacific Glycomics Reference Site, Chungnam National University, Daejeon 34134, Korea; (S.J.); (M.O.); (J.N.)
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Korea
| | - Jihyeon Nam
- Asia-Pacific Glycomics Reference Site, Chungnam National University, Daejeon 34134, Korea; (S.J.); (M.O.); (J.N.)
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Korea
| | - Sehoon Park
- Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea;
| | - Yoonjin Choi
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea;
| | - Dongho Lee
- Department of Internal Medicine for Gastroenterology, Seoul National University Bundang Hospital, Seongnam 13620, Korea;
| | - Jaehan Kim
- Department of Food and Nutrition, Chungnam National University, Daejeon 34134, Korea;
| | - Hyunjoo An
- Asia-Pacific Glycomics Reference Site, Chungnam National University, Daejeon 34134, Korea; (S.J.); (M.O.); (J.N.)
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Korea
- Correspondence:
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6
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Yu LR, Veenstra TD. Characterization of Phosphorylated Proteins Using Mass Spectrometry. Curr Protein Pept Sci 2020; 22:148-157. [PMID: 33231146 DOI: 10.2174/1389203721999201123200439] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/14/2020] [Accepted: 08/31/2020] [Indexed: 11/22/2022]
Abstract
Phosphorylation is arguably the most important post-translational modification that occurs within proteins. Phosphorylation is used as a signal to control numerous physiological activities ranging from gene expression to metabolism. Identifying phosphorylation sites within proteins was historically a challenge as it required either radioisotope labeling or the use of phospho-specific antibodies. The advent of mass spectrometry (MS) has had a major impact on the ability to qualitatively and quantitatively characterize phosphorylated proteins. In this article, we describe MS methods for characterizing phosphorylation sites within individual proteins as well as entire proteome samples. The utility of these methods is illustrated in examples that show the information that can be gained using these MS techniques.
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Affiliation(s)
- Li-Rong Yu
- Division of Systems Biology, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, United States
| | - Timothy D Veenstra
- School of Pharmacy, Cedarville University, 251 North Main Street, Cedarville, OH 45314, United States
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7
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Wang D, Baudys J, Bundy JL, Solano M, Keppel T, Barr JR. Comprehensive Analysis of the Glycan Complement of SARS-CoV-2 Spike Proteins Using Signature Ions-Triggered Electron-Transfer/Higher-Energy Collisional Dissociation (EThcD) Mass Spectrometry. Anal Chem 2020; 92:14730-14739. [PMID: 33064451 PMCID: PMC7586457 DOI: 10.1021/acs.analchem.0c03301] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 10/06/2020] [Indexed: 01/08/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a global pandemic of coronavirus disease 2019 (COVID-19). The spike protein expressed on the surface of this virus is highly glycosylated and plays an essential role during the process of infection. We conducted a comprehensive mass spectrometric analysis of the N-glycosylation profiles of the SARS-CoV-2 spike proteins using signature ions-triggered electron-transfer/higher-energy collision dissociation (EThcD) mass spectrometry. The patterns of N-glycosylation within the recombinant ectodomain and S1 subunit of the SARS-CoV-2 spike protein were characterized using this approach. Significant variations were observed in the distribution of glycan types as well as the specific individual glycans on the modification sites of the ectodomain and subunit proteins. The relative abundance of sialylated glycans in the S1 subunit compared to the full-length protein could indicate differences in the global structure and function of these two species. In addition, we compared N-glycan profiles of the recombinant spike proteins produced from different expression systems, including human embryonic kidney (HEK 293) cells and Spodoptera frugiperda (SF9) insect cells. These results provide useful information for the study of the interactions of SARS-CoV-2 viral proteins and for the development of effective vaccines and therapeutics.
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Affiliation(s)
- Dongxia Wang
- Division of Laboratory
Sciences,
National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Highway, Northeast, Atlanta, Georgia 30341, United States
| | - Jakub Baudys
- Division of Laboratory
Sciences,
National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Highway, Northeast, Atlanta, Georgia 30341, United States
| | - Jonathan L. Bundy
- Division of Laboratory
Sciences,
National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Highway, Northeast, Atlanta, Georgia 30341, United States
| | - Maria Solano
- Division of Laboratory
Sciences,
National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Highway, Northeast, Atlanta, Georgia 30341, United States
| | - Theodore Keppel
- Division of Laboratory
Sciences,
National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Highway, Northeast, Atlanta, Georgia 30341, United States
| | - John R. Barr
- Division of Laboratory
Sciences,
National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Highway, Northeast, Atlanta, Georgia 30341, United States
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8
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Gene Organization, Expression, and Localization of Ribotoxin-Like Protein Ageritin in Fruiting Body and Mycelium of Agrocybe aegerita. Int J Mol Sci 2020; 21:ijms21197158. [PMID: 32998313 PMCID: PMC7582721 DOI: 10.3390/ijms21197158] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 09/24/2020] [Accepted: 09/25/2020] [Indexed: 12/16/2022] Open
Abstract
The edible mushroom Agrocybe aegerita produces a ribotoxin-like protein known as Ageritin. In this work, the gene encoding Ageritin was characterized by sequence analysis. It contains several typical features of fungal genes such as three short introns (60, 55 and 69 bp) located at the 5' region of the coding sequence and typical splice junctions. This sequence codes for a precursor of 156 amino acids (~17-kDa) containing an additional N-terminal peptide of 21 amino acid residues, absent in the purified toxin (135 amino acid residues; ~15-kDa). The presence of 17-kDa and 15-kDa forms was investigated by Western blot in specific parts of fruiting body and in mycelia of A. aegerita. Data show that the 15-kDa Ageritin is the only form retrieved in the fruiting body and the principal form in mycelium. The immunolocalization by confocal laser scanning microscopy and transmission electron microscopy proves that Ageritin has vacuolar localization in hyphae. Coupling these data with a bioinformatics approach, we suggest that the N-terminal peptide of Ageritin (not found in the purified toxin) is a new signal peptide in fungi involved in intracellular routing from endoplasmic reticulum to vacuole, necessary for self-defense of A. aegerita ribosomes from Ageritin toxicity.
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9
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De Maesschalck V, Gutiérrez D, Paeshuyse J, Lavigne R, Briers Y. Advanced engineering of third-generation lysins and formulation strategies for clinical applications. Crit Rev Microbiol 2020; 46:548-564. [PMID: 32886565 DOI: 10.1080/1040841x.2020.1809346] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
One of the possible solutions for the current antibiotic resistance crisis may be found in (often bacteriophage-derived) peptidoglycan hydrolases. The first clinical trials of these natural enzymes, coined here as first-generation lysins, are currently ongoing. Moving beyond natural endolysins with protein engineering established the second generation of lysins. In second-generation lysins, the focus lies on improving antibacterial and biochemical properties such as antimicrobial activity and stability, as well as expanding their activities towards Gram-negative pathogens. However, solutions to particular key challenges regarding clinical applications are only beginning to emerge in the third generation of lysins, in which protein and biochemical engineering efforts focus on improving properties relevant under clinical conditions. In addition, increasingly advanced formulation strategies are developed to increase the bioavailability, antibacterial activity, and half-life, and to reduce pro-inflammatory responses. This review focuses on third-generation and advanced formulation strategies that are developed to treat infections, ranging from topical to systemic applications. Together, these efforts may fully unlock the potential of lysin therapy and will propel it as a true antibiotic alternative or supplement.
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Affiliation(s)
- Vincent De Maesschalck
- Department of Biosystems, KU Leuven, Leuven, Belgium.,Department of Biotechnology, Ghent University, Gent, Belgium
| | - Diana Gutiérrez
- Department of Biotechnology, Ghent University, Gent, Belgium
| | - Jan Paeshuyse
- Department of Biosystems, KU Leuven, Leuven, Belgium
| | - Rob Lavigne
- Department of Biosystems, KU Leuven, Leuven, Belgium
| | - Yves Briers
- Department of Biotechnology, Ghent University, Gent, Belgium
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10
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Riley N, Malaker SA, Driessen MD, Bertozzi CR. Optimal Dissociation Methods Differ for N- and O-Glycopeptides. J Proteome Res 2020; 19:3286-3301. [PMID: 32500713 PMCID: PMC7425838 DOI: 10.1021/acs.jproteome.0c00218] [Citation(s) in RCA: 139] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Indexed: 01/29/2023]
Abstract
Site-specific characterization of glycosylation requires intact glycopeptide analysis, and recent efforts have focused on how to best interrogate glycopeptides using tandem mass spectrometry (MS/MS). Beam-type collisional activation, i.e., higher-energy collisional dissociation (HCD), has been a valuable approach, but stepped collision energy HCD (sceHCD) and electron transfer dissociation with HCD supplemental activation (EThcD) have emerged as potentially more suitable alternatives. Both sceHCD and EThcD have been used with success in large-scale glycoproteomic experiments, but they each incur some degree of compromise. Most progress has occurred in the area of N-glycoproteomics. There is growing interest in extending this progress to O-glycoproteomics, which necessitates comparisons of method performance for the two classes of glycopeptides. Here, we systematically explore the advantages and disadvantages of conventional HCD, sceHCD, ETD, and EThcD for intact glycopeptide analysis and determine their suitability for both N- and O-glycoproteomic applications. For N-glycopeptides, HCD and sceHCD generate similar numbers of identifications, although sceHCD generally provides higher quality spectra. Both significantly outperform EThcD methods in terms of identifications, indicating that ETD-based methods are not required for routine N-glycoproteomics even if they can generate higher quality spectra. Conversely, ETD-based methods, especially EThcD, are indispensable for site-specific analyses of O-glycopeptides. Our data show that O-glycopeptides cannot be robustly characterized with HCD-centric methods that are sufficient for N-glycopeptides, and glycoproteomic methods aiming to characterize O-glycopeptides must be constructed accordingly.
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Affiliation(s)
- Nicholas
M. Riley
- Department
of Chemistry, Stanford University, Stanford, California 94305-6104, United States
| | - Stacy A. Malaker
- Department
of Chemistry, Stanford University, Stanford, California 94305-6104, United States
| | - Marc D. Driessen
- Department
of Chemistry, Stanford University, Stanford, California 94305-6104, United States
| | - Carolyn R. Bertozzi
- Department
of Chemistry, Stanford University, Stanford, California 94305-6104, United States
- Howard
Hughes Medical Institute, Stanford, California 94305-6104, United States
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