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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2021-2022. MASS SPECTROMETRY REVIEWS 2024. [PMID: 38925550 DOI: 10.1002/mas.21873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 06/28/2024]
Abstract
The use of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well-established technique and this review is the 12th update of the original article published in 1999 and brings coverage of the literature to the end of 2022. As with previous review, this review also includes a few papers that describe methods appropriate to analysis by MALDI, such as sample preparation, even though the ionization method is not MALDI. The review follows the same format as previous reviews. It is divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification and the use of computer software for structural identification. (2) Applications to various structural types such as oligo- and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals, and (3) other general areas such as medicine, industrial processes, natural products and glycan synthesis where MALDI is extensively used. Much of the material relating to applications is presented in tabular form. MALDI is still an ideal technique for carbohydrate analysis, particularly in its ability to produce single ions from each analyte and advancements in the technique and range of applications show little sign of diminishing.
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Wang D, Xiao H, Lv X, Chen H, Wei F. Mass Spectrometry Based on Chemical Derivatization Has Brought Novel Discoveries to Lipidomics: A Comprehensive Review. Crit Rev Anal Chem 2023:1-32. [PMID: 37782560 DOI: 10.1080/10408347.2023.2261130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Lipids, as one of the most important organic compounds in organisms, are important components of cells and participate in energy storage and signal transduction of living organisms. As a rapidly rising field, lipidomics research involves the identification and quantification of multiple classes of lipid molecules, as well as the structure, function, dynamics, and interactions of lipids in living organisms. Due to its inherent high selectivity and high sensitivity, mass spectrometry (MS) is the "gold standard" analysis technique for small molecules in biological samples. The combination chemical derivatization with MS detection is a unique strategy that could improve MS ionization efficiency, facilitate structure identification and quantitative analysis. Herein, this review discusses derivatization-based MS strategies for lipidomic analysis over the past decade and focuses on all the reported lipid categories, including fatty acids and modified fatty acids, glycerolipids, glycerophospholipids, sterols and saccharolipids. The functional groups of lipids mainly involved in chemical derivatization include the C=C group, carboxyl group, hydroxyl group, amino group, carbonyl group. Furthermore, representative applications of these derivatization-based lipid profiling methods were summarized. Finally, challenges and countermeasures of lipid derivatization are mentioned and highlighted to guide future studies of derivatization-based MS strategy in lipidomics.
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Affiliation(s)
- Dan Wang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Oilseeds Processing of Ministry of Agriculture, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Wuhan, Hubei, PR China
| | - Huaming Xiao
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Oilseeds Processing of Ministry of Agriculture, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Wuhan, Hubei, PR China
| | - Xin Lv
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Oilseeds Processing of Ministry of Agriculture, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Wuhan, Hubei, PR China
| | - Hong Chen
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Oilseeds Processing of Ministry of Agriculture, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Wuhan, Hubei, PR China
| | - Fang Wei
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Oilseeds Processing of Ministry of Agriculture, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Wuhan, Hubei, PR China
- Hubei Hongshan Laboratory, Wuhan, Hubei, PR China
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Li XL, Li Y, Xiao S, Li Q, Han C, Liu D, Cui T, Rao X, Todoroki K, Yang G, Min JZ. Stable isotope labeling differential glycans discovery in the serum of acute myocardial infarction by ultrahigh-performance liquid chromatography-quadrupole-Orbitrap high resolution mass spectrometry. Anal Chim Acta 2023; 1264:341269. [PMID: 37230719 DOI: 10.1016/j.aca.2023.341269] [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: 10/12/2022] [Revised: 03/23/2023] [Accepted: 04/23/2023] [Indexed: 05/27/2023]
Abstract
Acute myocardial infarction (AMI) poses a grave threat to human life. However, most clinical biomarkers have limitations of low sensitivity and specificity. Therefore, screening novel glycan biomarkers with high sensitivity and specificity is crucial for the prevention and treatment of AMI. The novel method of ultrahigh-performance liquid chromatography coupled to quadrupole-Orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS) with d0/d5-BOTC probe labeling for relative quantification of glycans based on Pronase E digestion was established to screen novel glycan biomarkers in the serum of 34 AMI patients relative to healthy volunteers. The monosaccharide model D-glucosamine was used to investigate the effectiveness of the derivatization; the limit of detection (S/N = 3) was 10 amol. The accuracy was verified based on the consistency of different theoretical molar ratios (d0/d5 = 1:2, 2:1) and intensity ratios following digestion of glycoprotein ribonuclease B. Expressions of H4N4F3SA, H4N6F2, H4N6SA, H4N6F3 and H5N4FSA in the serum were significantly different (p < 0.0005) between AMI patients and healthy volunteers. The area under the receiver operating characteristic curve (AUC) for H4N6SA, H5N4FSA, and H4N6F2 was greater than 0.9039. Based on the proposed method, H4N6SA, H5N4FSA, and H4N6F2 in human serum showed high accuracy and specificity and may serve as potential glycan biomarkers, crucial for the diagnosis and treatment monitoring of AMI.
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Affiliation(s)
- Xi-Ling Li
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy Yanbian University, Department of Orthopaedics, and Department of Cardiology, Yanbian University Hospital, Yanji, 133002, Jilin Province, China
| | - Yuxuan Li
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy Yanbian University, Department of Orthopaedics, and Department of Cardiology, Yanbian University Hospital, Yanji, 133002, Jilin Province, China
| | - Shuyun Xiao
- Department of Pharmacy of Tianjin Children's Hospital, Tianjin, 300202, China
| | - Qingsong Li
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy Yanbian University, Department of Orthopaedics, and Department of Cardiology, Yanbian University Hospital, Yanji, 133002, Jilin Province, China
| | - Chengqiang Han
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy Yanbian University, Department of Orthopaedics, and Department of Cardiology, Yanbian University Hospital, Yanji, 133002, Jilin Province, China
| | - Danyang Liu
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy Yanbian University, Department of Orthopaedics, and Department of Cardiology, Yanbian University Hospital, Yanji, 133002, Jilin Province, China
| | - Tengfei Cui
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy Yanbian University, Department of Orthopaedics, and Department of Cardiology, Yanbian University Hospital, Yanji, 133002, Jilin Province, China
| | - Xiyang Rao
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy Yanbian University, Department of Orthopaedics, and Department of Cardiology, Yanbian University Hospital, Yanji, 133002, Jilin Province, China
| | - Kenichiro Todoroki
- Laboratory of Analytical and Bio-Analytical Chemistry, School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan
| | - Guang Yang
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy Yanbian University, Department of Orthopaedics, and Department of Cardiology, Yanbian University Hospital, Yanji, 133002, Jilin Province, China.
| | - Jun Zhe Min
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy Yanbian University, Department of Orthopaedics, and Department of Cardiology, Yanbian University Hospital, Yanji, 133002, Jilin Province, China.
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Wang Q, Wang T, Wu WW, Lin CY, Yang S, Yang G, Jankowska E, Hu Y, Shen RF, Betenbaugh MJ, Cipollo JF. Comprehensive N- and O-Glycoproteomic Analysis of Multiple Chinese Hamster Ovary Host Cell Lines. J Proteome Res 2022; 21:2341-2355. [PMID: 36129246 DOI: 10.1021/acs.jproteome.2c00207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Glycoproteomic analysis of three Chinese hamster ovary (CHO) suspension host cell lines (CHO-K1, CHO-S, and CHO-Pro5) commonly utilized in biopharmaceutical settings for recombinant protein production is reported. Intracellular and secreted glycoproteins were examined. We utilized an immobilization and chemoenzymatic strategy in our analysis. Glycoproteins or glycopeptides were first immobilized through reductive amination, and the sialyl moieties were amidated for protection. The desired N- or O-glycans and glycopeptides were released from the immobilization resin by enzymatic or chemical digestion. Glycopeptides were studied by Orbitrap Liquid chromatography-mass spectrometry (LC/MS), and the released glycans were analyzed by Matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF). Differences were detected in the relative abundances of N- and O-glycopeptide types, their resident and released glycans, and their glycoprotein complexity. Ontogeny analysis revealed key differences in features, such as general metabolic and biosynthetic pathways, including glycosylation systems, as well as distributions in cellular compartments. Host cell lines and subfraction differences were observed in both N- and O-glycan and glycoprotein pools. Differences were observed in sialyl and fucosyl glycan distributions. Key differences were also observed among glycoproteins that are problematic contaminants in recombinant antibody production. The differences revealed in this study should inform the choice of cell lines best suited for a particular bioproduction application.
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Affiliation(s)
- Qiong Wang
- Laboratory of Bacterial Polysaccharides, Division of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993, United States.,Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21210, United States
| | - Tiexin Wang
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21210, United States
| | - Wells W Wu
- Facility for Biotechnology Resources, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Chang-Yi Lin
- Facility for Biotechnology Resources, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Shuang Yang
- Laboratory of Bacterial Polysaccharides, Division of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993, United States.,Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
| | - Ganglong Yang
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21287, United States.,Key Laboratory of Carbohydrate Chemistry and Biotechnology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Ewa Jankowska
- Laboratory of Bacterial Polysaccharides, Division of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Yifeng Hu
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21210, United States
| | - Rong-Fong Shen
- Facility for Biotechnology Resources, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Michael J Betenbaugh
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21210, United States
| | - John F Cipollo
- Laboratory of Bacterial Polysaccharides, Division of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993, United States
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Li XL, Han C, Luo M, Xiao S, Li J, Yu C, Cheng S, Jin Y, Han Y, Todoroki K, Shi Q, Min JZ. Relative quantitation of glycans in cetuximab using ultra-high-performance liquid chromatography-high-resolution mass spectrometry by Pronase E digestion. J Chromatogr A 2022; 1677:463302. [PMID: 35820231 DOI: 10.1016/j.chroma.2022.463302] [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: 04/21/2022] [Revised: 06/26/2022] [Accepted: 07/01/2022] [Indexed: 11/26/2022]
Abstract
Glycans play important roles in the activity and function of monoclonal antibodies (mAbs). In this study, an isotope labeling method for the relative quantitative analysis of glycans in cetuximab, a chimeric human/mouse IgG1 monoclonal antibody that specifically targets epidermal growth factor receptor, via hydrophilic interaction LC-ultra-high-performance LC-HRMS was established based on Pronase E digestion. To this aim, novel isotope MS probes, i.e., 3-benzoyl-2-oxothiazolidine-4-carboxylic acid (d0-BOTC) and 3-(2,3,4,5,6-pentadeuterio-benzoyl)-2-oxothiazolidine-4-carboxylate acid (d5-BOTC), which include a carboxyl group to target the amino functional group in glycosylamine, were developed. The nonspecific Pronase E enzyme could simultaneously digest the peptide bound to the N- and O-glycans into glycosylamine having only one amino acid. Since the mass difference between the light- and heavy-labeled glycans was 5.0 Da, the relative abundance of their MS peaks was used to achieve the qualitative and relative quantitative analysis of glycans. Sialylglycopeptide was used as a complex glycan model to validate the accuracy of the method. The results demonstrated the good linearity (R2 ≥ 0.9994) between the experimentally detected MS intensity ratios and the theoretical molar ratios of the d0-BOTC to the corresponding d5-BOTC derivatives in the dynamic range of 0.03-10 and 0.03-20 of three orders magnitude for the d5-BOTC/d0-BOTC ratios. The reproducibility was between 0.16% and 10.70%, and the limit of detection was 13 fmol. The feasibility of the relative quantification method was investigated by analyzing the glycan content in cetuximab, finding good consistency between experimental and theoretical molar ratios (5:1, 3:1, 1:1, 1:3, 1:5) of d0/d5-BOTC-labeled glycans. Finally, 13 glycans were successfully identified in cetuximab by applying this method using an in-house Tracefinder database. This study provides a novel strategy for the high throughput analysis, identification, and functional study of glycans in mAbs.
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Affiliation(s)
- Xi-Ling Li
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, and Department of Pharmacy, Yanbian University Hospital, Yanji, Jilin 133002, China
| | - Chengqiang Han
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, and Department of Pharmacy, Yanbian University Hospital, Yanji, Jilin 133002, China
| | - Miao Luo
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, and Department of Pharmacy, Yanbian University Hospital, Yanji, Jilin 133002, China
| | - Shuyun Xiao
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, and Department of Pharmacy, Yanbian University Hospital, Yanji, Jilin 133002, China
| | - Jing Li
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, and Department of Pharmacy, Yanbian University Hospital, Yanji, Jilin 133002, China
| | - Chenglong Yu
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, and Department of Pharmacy, Yanbian University Hospital, Yanji, Jilin 133002, China
| | - Shengyu Cheng
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, and Department of Pharmacy, Yanbian University Hospital, Yanji, Jilin 133002, China
| | - Yueying Jin
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, and Department of Pharmacy, Yanbian University Hospital, Yanji, Jilin 133002, China
| | - Yu Han
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, and Department of Pharmacy, Yanbian University Hospital, Yanji, Jilin 133002, China
| | - Kenichiro Todoroki
- Laboratory of Analytical and Bio-Analytical Chemistry, School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka 422-8526, Japan
| | - Qing Shi
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, and Department of Pharmacy, Yanbian University Hospital, Yanji, Jilin 133002, China.
| | - Jun Zhe Min
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, and Department of Pharmacy, Yanbian University Hospital, Yanji, Jilin 133002, China.
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Li Y, Ma C, You J, Zhang S. Stable isotope labeling method with sensitive identification and accurate quantitation function for aldehydes in fried foods. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107238] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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