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Bi M, Tian Z. Mass spectrometry-based structure-specific N-glycoproteomics and biomedical applications. Acta Biochim Biophys Sin (Shanghai) 2024. [PMID: 39118567 DOI: 10.3724/abbs.2024133] [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: 08/10/2024] Open
Abstract
N-linked glycosylation is a common posttranslational modification of proteins that results in macroheterogeneity of the modification site. However, unlike simpler modifications, N-glycosylation introduces an additional layer of complexity with tens of thousands of possible structures arising from various dimensions, including different monosaccharide compositions, sequence structures, linking structures, isomerism, and three-dimensional conformations. This results in additional microheterogeneity of the modification site of N-glycosylation, i.e., the same N-glycosylation site can be modified with different glycans with a certain stoichiometric ratio. N-glycosylation regulates the structure and function of N-glycoproteins in a site- and structure-specific manner, and differential expression of N-glycosylation under disease conditions needs to be characterized through site- and structure-specific quantitative analysis. Numerous advanced methods ranging from sample preparation to mass spectrum analysis have been developed to distinguish N-glycan structures. Chemical derivatization of monosaccharides, online liquid chromatography separation and ion mobility spectrometry enable the physical differentiation of samples. Tandem mass spectrometry further analyzes the macro/microheterogeneity of intact N-glycopeptides through the analysis of fragment ions. Moreover, the development of search engines and AI-based software has enhanced our understanding of the dissociation patterns of intact N-glycopeptides and the clinical significance of differentially expressed intact N-glycopeptides. With the help of these modern methods, structure-specific N-glycoproteomics has become an important tool with extensive applications in the biomedical field.
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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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Wu L, Liu H, Xu X, Huang C, Li Y, Xiao X, Zhan Y, Gao C. Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity. Heliyon 2024; 10:e29443. [PMID: 38633623 PMCID: PMC11021961 DOI: 10.1016/j.heliyon.2024.e29443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/04/2024] [Accepted: 04/08/2024] [Indexed: 04/19/2024] Open
Abstract
Stenosis severity may escalate over the course of coronary artery disease (CAD), increasing the risk of death for the patient. Conventionally, the assessment of stenosis degree relies on invasive coronary angiography (ICA), an invasive examination unsuitable for patients in poor physical condition or those with contrast allergies and one that imposes a psychological burden on patients. Although abnormal serum N-glycan profiles have exhibited robust associations with various cardiovascular diseases, including CAD, their potential in diagnosing CAD stenosis remains to be determined. In this study, we performed a comprehensive analysis of serum N-glycome from 132 patients who underwent ICA and 27 healthy controls using MALDI-TOF-mass spectrometry. The patients who underwent ICA examination were categorized into four groups based on stenosis severity: no/mild/moderate/severe stenosis. Twenty-seven N-glycans were directly quantified, and 47 derived glycan traits were obtained. Notably, among these 74 glycan features, 18 exhibited variations across the study groups. Using a combination of least absolute shrinkage and selection operator and logistic regression analyses, we developed five diagnostic models for recognizing stenosis degree. Our results suggested that alterations in serum N-glycosylation modifications might be valuable for identifying stenosis degree and monitoring disease progression in individuals with CAD. It is expected to offer a noninvasive alternative for those who could not undergo ICA because of various reasons. However, the diagnostic potential of serum N-glycan panels as biomarkers requires multicenter, large cohort validation in the future.
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Affiliation(s)
- Linlin Wu
- Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, China
| | - Haoqi Liu
- Department of Cardiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, China
| | - Xuewen Xu
- Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, China
| | - Chenjun Huang
- Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, China
| | - Yueyue Li
- Shanghai Cancer Center and Institutes of Biomedical Sciences and Department of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, China
| | - Xiao Xiao
- Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, China
| | - Yueping Zhan
- Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, China
| | - Chunfang Gao
- Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, China
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Liu X, Fu B, Chen J, Sun Z, Zheng D, Li Z, Gu B, Zhang Y, Lu H. High-throughput intact Glycopeptide quantification strategy with targeted-MS (HTiGQs-target) reveals site-specific IgG N-glycopeptides as biomarkers for hepatic disorder diagnosis and staging. Carbohydr Polym 2024; 325:121499. [PMID: 38008487 DOI: 10.1016/j.carbpol.2023.121499] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 11/28/2023]
Abstract
Liver disease is one of the leading causes of global mortality, and identifying biomarkers for diagnosing the progression of liver diseases is crucial for improving its outcomes. Targeted mass spectrometry technology is a powerful tool with unique advantages for verifying biomarker candidates and clinical applications. It is particularly useful in validating protein biomarkers with post-translational modifications, eliminating the need for site-specific antibodies. Especially, targeted mass spectrometry technique is particularly critical for translation of glycoproteins into clinical applications as there are no site-specific antibodies for N-glycosylation. Nevertheless, its limitation in analyzing only one sample per run has become apparent when dealing with a large number of clinical samples. Herein, we developed a high-throughput intact N-glycopeptides quantification strategy with targeted-MS (HTiGQs-Target), which allows the validation of 20 samples per run with an average analysis time of only 3 min per sample. We applied HTiGQs-Target in a cohort of 461 serum samples (including 120 healthy controls (HC), 127 chronic hepatitis B (CHB) cases, 106 liver cirrhosis (LC) cases, and 108 hepatocellular carcinomas (HCC) cases) and found that a panel of 10 IgG N-glycopeptides have strong clinical utility in evaluating the severity of the liver disease.
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Affiliation(s)
- Xuejiao Liu
- Liver Cancer Institute of Zhongshan Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; Department of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China
| | - Bin Fu
- Department of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China
| | - Jierong Chen
- Laboratory Medicine of Guangdong Provincial People's Hospital and Guangdong, Academy of Medical Sciences, Guangzhou, Guangdong 510000, China
| | - Zhenyu Sun
- Liver Cancer Institute of Zhongshan Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Dongdong Zheng
- Department of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Zhonghua Li
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Bing Gu
- Laboratory Medicine of Guangdong Provincial People's Hospital and Guangdong, Academy of Medical Sciences, Guangzhou, Guangdong 510000, China.
| | - Ying Zhang
- Liver Cancer Institute of Zhongshan Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; Department of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China.
| | - Haojie Lu
- Liver Cancer Institute of Zhongshan Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; Department of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China.
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Kong L, Li F, Fang W, Du Z, Wang G, Zhang Y, Ge WP, Zhang W, Qin W. Sensitive N-Glycopeptide Profiling of Single and Rare Cells Using an Isobaric Labeling Strategy without Enrichment. Anal Chem 2023; 95:11326-11334. [PMID: 37409763 DOI: 10.1021/acs.analchem.3c01392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
Single-cell omics is critical in revealing population heterogeneity, discovering unique features of individual cells, and identifying minority subpopulations of interest. As one of the major post-translational modifications, protein N-glycosylation plays crucial roles in various important biological processes. Elucidation of the variation in N-glycosylation patterns at single-cell resolution may largely facilitate the understanding of their key roles in the tumor microenvironment and immune therapy. However, comprehensive N-glycoproteome profiling for single cells has not been achieved due to the extremely limited sample amount and incompatibility with the available enrichment strategies. Here, we have developed an isobaric labeling-based carrier strategy for highly sensitive intact N-glycopeptide profiling for single cells or a small number of rare cells without enrichment. Isobaric labeling has unique multiplexing properties, by which the "total" signal from all channels triggers MS/MS fragmentation for N-glycopeptide identification, while the reporter ions provide quantitative information. In our strategy, a carrier channel using N-glycopeptides obtained from bulk-cell samples significantly improved the "total" signal of N-glycopeptides and, therefore, promoted the first quantitative analysis of averagely 260 N-glycopeptides from single HeLa cells. We further applied this strategy to study the regional heterogeneity of N-glycosylation of microglia in mouse brain and discovered region-specific N-glycoproteome patterns and cell subtypes. In conclusion, the glycocarrier strategy provides an attractive solution for sensitive and quantitative N-glycopeptide profiling of single/rare cells that cannot be enriched by traditional workflows.
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Affiliation(s)
- Linlin Kong
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China
| | - Fengzhi Li
- Chinese Institute for Brain Research, Beijing, Beijing 102206, China
| | - Wei Fang
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China
| | - Zhuokun Du
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China
| | - Guibin Wang
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China
| | - Yangjun Zhang
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China
| | - Woo-Ping Ge
- Chinese Institute for Brain Research, Beijing, Beijing 102206, China
| | - Wanjun Zhang
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China
- College of Chemistry and Materials Science, Hebei University, Baoding 071002, China
| | - Weijie Qin
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China
- College of Chemistry and Materials Science, Hebei University, Baoding 071002, China
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Derivatization of sialylated glycopeptides plus based sialoglycopeptides enrichment using cation exchange media. Anal Chim Acta 2022; 1233:340492. [DOI: 10.1016/j.aca.2022.340492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/28/2022] [Accepted: 10/05/2022] [Indexed: 11/21/2022]
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Yang H, Tian Z. Sialic acid linkage-specific quantitative N-glycoproteomics using selective alkylamidation and multiplex TMT-labeling. Anal Chim Acta 2022; 1230:340391. [DOI: 10.1016/j.aca.2022.340391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 09/07/2022] [Accepted: 09/10/2022] [Indexed: 11/25/2022]
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Iles RK, Iles JK, Zmuidinaite R, Roberts M. A How to Guide: Clinical Population Test Development and Authorization of MALDI-ToF Mass Spectrometry-Based Screening Tests for Viral Infections. Viruses 2022; 14:v14091958. [PMID: 36146765 PMCID: PMC9501081 DOI: 10.3390/v14091958] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/25/2022] [Accepted: 08/31/2022] [Indexed: 01/09/2023] Open
Abstract
Applying MALDI-ToF mass spectrometry as a clinical diagnostic test for viruses is different from that of bacteria, fungi and other micro-organisms. This is because the systems biology of viral infections, the size and chemical nature of specific viral proteins and the mass spectrometry biophysics of how they are quantitated are fundamentally different. The analytical challenges to overcome when developing a clinical MALDI-ToF mass spectrometry tests for a virus, particularly human pathogenic enveloped viruses, are sample enrichment, virus envelope disruption, optimal matrix formulation, optimal MALDI ToF MS performance and optimal spectral data processing/bioinformatics. Primarily, the instrument operating settings have to be optimized to match the nature of the viral specific proteins, which are not compatible with setting established when testing for bacterial and many other micro-organisms. The capacity to be a viral infection clinical diagnostic instrument often stretches current mass spectrometers to their operational design limits. Finally, all the associated procedures, from sample collection to data analytics, for the technique have to meet the legal and operational requirement for often high-throughput clinical testing. Given the newness of the technology, clinical MALDI ToF mass spectrometry does not fit in with standard criteria applied by regulatory authorities whereby numeric outputs are compared directly to similar technology tests that have already been authorized for use. Thus, CLIA laboratory developed test (LDT) criteria have to be applied. This article details our experience of developing a SAR-CoV-2 MALDI-ToF MS test suitable for asymptomatic carrier infection population screening.
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Affiliation(s)
- Ray K. Iles
- MAP Sciences Ltd., The iLAB, Stannard Way, Priory Business Park, Bedford MK44 3RZ, UK
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, Cambridge University, Madingley Road, Cambridge CB3 0ES, UK
- Correspondence:
| | - Jason K. Iles
- MAP Sciences Ltd., The iLAB, Stannard Way, Priory Business Park, Bedford MK44 3RZ, UK
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, Cambridge University, Madingley Road, Cambridge CB3 0ES, UK
| | - Raminta Zmuidinaite
- MAP Sciences Ltd., The iLAB, Stannard Way, Priory Business Park, Bedford MK44 3RZ, UK
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, Cambridge University, Madingley Road, Cambridge CB3 0ES, UK
| | - Michael Roberts
- Chem Quant Analytical Solutions, LLC, 1093 Investment Blvd, Apex, NC 27502, USA
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Ren W, Bian Q, Cai Y. Mass spectrometry-based N-glycosylation analysis in kidney disease. Front Mol Biosci 2022; 9:976298. [PMID: 36072428 PMCID: PMC9442644 DOI: 10.3389/fmolb.2022.976298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 07/18/2022] [Indexed: 11/14/2022] Open
Abstract
Kidney disease is a global health concern with an enormous expense. It is estimated that more than 10% of the population worldwide is affected by kidney disease and millions of patients would progress to death prematurely and unnecessarily. Although creatinine detection and renal biopsy are well-established tools for kidney disease diagnosis, they are limited by several inevitable defects. Therefore, diagnostic tools need to be upgraded, especially for the early stage of the disease and possible progression. As one of the most common post-translational modifications of proteins, N-glycosylation plays a vital role in renal structure and function. Deepening research on N-glycosylation in kidney disease provides new insights into the pathophysiology and paves the way for clinical application. In this study, we reviewed recent N-glycosylation studies on several kidney diseases. We also summarized the development of mass spectrometric methods in the field of N-glycoproteomics and N-glycomics.
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Affiliation(s)
- Weifu Ren
- Shanghai Institute of Precision Medicine, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Nephrology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Qi Bian
- Department of Nephrology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yan Cai
- Shanghai Institute of Precision Medicine, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Liang Y, Fu B, Zhang Y, Lu H. Progress of proteomics-driven precision medicine: From a glycosylation view. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2022; 36:e9288. [PMID: 35261114 DOI: 10.1002/rcm.9288] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/23/2022] [Accepted: 02/26/2022] [Indexed: 05/08/2023]
Abstract
Currently, cancer is one of the leading causes of death worldwide, partially owing to the lack of early diagnosis methods and effective therapies. With the rapid development of various omics, the precision medicine strategy becomes a promising way to increase the survival rates by considering individual differences. Glycosylation is one of the most essential protein post-translational modifications and plays important roles in a variety of biological processes. Therefore, it is highly possible to acquire understanding of the molecular mechanisms as well as discover novel potential markers for diagnosis and prognosis based on glycoproteomics research. This review summarizes the recent glycoproteomics studies about N-glycosylation of several cancer types, mainly in the past 5 years. We also highlight corresponding mass spectrometry-based analytical methods to give a brief overview on the main techniques applied in glycoproteomics.
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Affiliation(s)
- Yuying Liang
- Shanghai Cancer Center and Department of Chemistry, Fudan University, Shanghai, People's Republic of China
| | - Bin Fu
- Shanghai Cancer Center and Department of Chemistry, Fudan University, Shanghai, People's Republic of China
| | - Ying Zhang
- Shanghai Cancer Center and Department of Chemistry, Fudan University, Shanghai, People's Republic of China
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, People's Republic of China
| | - Haojie Lu
- Shanghai Cancer Center and Department of Chemistry, Fudan University, Shanghai, People's Republic of China
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, People's Republic of China
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Feng X, Shu H, Zhang S, Peng Y, Zhang L, Cao X, Wei L, Lu H. Relative Quantification of N-Glycopeptide Sialic Acid Linkage Isomers by Ion Mobility Mass Spectrometry. Anal Chem 2021; 93:15617-15625. [PMID: 34779613 DOI: 10.1021/acs.analchem.1c02803] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Sialic acids decorate the surface of glycoproteins and play important roles in a variety of pathological processes. Although the mass spectrometry (MS) based linkage-specific analysis of sialylated N-glycopeptide is developing rapidly, quantitative analysis of these isomers still remains a challenge. Herein, we reported a novel quantitative strategy that can unambiguously identify and relatively quantify linkage-specific N-glycopeptides using ion mobility mass spectrometry (IM-MS). Without the assistance of derivatization, this method can relatively quantify sialic acid isomers of intact glycopeptides by using their characteristic fragment ions in IM-MS. Moreover, good linearity (R2 > 0.99) of relative quantification within a dynamic range of 2 orders of magnitude and high reproducibility (coefficient of variation (CV) < 10%, n = 3) were demonstrated. Finally, our results illustrated the aberrant sialylation of haptoglobin (Hp) in hepatocellular carcinoma (HCC), where the ratios of α2,3 to α2,6 sialylation of seven N-glycopeptides were found to be significantly altered (p < 0.01) in HCC individuals (n = 27) compared with healthy controls (n = 27).
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Affiliation(s)
- Xiaoxiao Feng
- Institutes of Biomedical Sciences & Shanghai Cancer Center, Fudan University, Shanghai 200032, People's Republic of China
| | - Hong Shu
- Department of Clinical Laboratory, Cancer Hospital of Guangxi Medical University, Nanning, Guangxi 530021, People's Republic of China
| | - Shu Zhang
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai 200032, People's Republic of China
| | - Ye Peng
- Institutes of Biomedical Sciences & Shanghai Cancer Center, Fudan University, Shanghai 200032, People's Republic of China
| | - Lei Zhang
- Institutes of Biomedical Sciences & Shanghai Cancer Center, Fudan University, Shanghai 200032, People's Republic of China
| | - Xinyi Cao
- Institutes of Biomedical Sciences & Shanghai Cancer Center, Fudan University, Shanghai 200032, People's Republic of China
| | - Liming Wei
- Institutes of Biomedical Sciences & Shanghai Cancer Center, Fudan University, Shanghai 200032, People's Republic of China.,Department of Chemistry & NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, People's Republic of China
| | - Haojie Lu
- Institutes of Biomedical Sciences & Shanghai Cancer Center, Fudan University, Shanghai 200032, People's Republic of China.,Department of Chemistry & NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, People's Republic of China
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