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Luan J, Zhu X, Yu L, Li Y, He X, Chen L, Zhang Y. Construction of magnetic covalent organic frameworks functionalized by benzoboroxole for efficient enrichment of glycoproteins in the physiological environment. Talanta 2023; 251:123772. [DOI: 10.1016/j.talanta.2022.123772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 07/18/2022] [Accepted: 07/22/2022] [Indexed: 10/15/2022]
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2
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Chen Z, Wang D, Yu Q, Johnson J, Shipman R, Zhong X, Huang J, Yu Q, Zetterberg H, Asthana S, Carlsson C, Okonkwo O, Li L. In-Depth Site-Specific O-Glycosylation Analysis of Glycoproteins and Endogenous Peptides in Cerebrospinal Fluid (CSF) from Healthy Individuals, Mild Cognitive Impairment (MCI), and Alzheimer's Disease (AD) Patients. ACS Chem Biol 2022; 17:3059-3068. [PMID: 34964596 PMCID: PMC9240109 DOI: 10.1021/acschembio.1c00932] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Site-specific O-glycoproteome mapping in complex biological systems provides a molecular basis for understanding the structure-function relationships of glycoproteins and their roles in physiological and pathological processes. Previous O-glycoproteome analysis in cerebrospinal fluid (CSF) focused on sialylated glycoforms, while missing information on other glycosylation types. In order to achieve an unbiased O-glycosylation profile, we developed an integrated strategy combining universal boronic acid enrichment, high-pH fractionation, and electron-transfer and higher-energy collision dissociation (EThcD) for enhanced intact O-glycopeptide analysis. We applied this strategy to analyze the O-glycoproteome in CSF, resulting in the identification of 308 O-glycopeptides from 110 O-glycoproteins, covering both sialylated and nonsialylated glycoforms. To our knowledge, this is the largest data set of O-glycoproteins and O-glycosites reported for CSF to date. We also developed a peptidomics workflow that utilized the EThcD and a three-step database searching strategy for comprehensive PTM analysis of endogenous peptides, including N-glycosylation, O-glycosylation, and other common peptide PTMs. Interestingly, among the 1411 endogenous peptides identified, 89 were O-glycosylated, and only one N-glycosylated peptide was found, indicating that CSF endogenous peptides were predominantly O-glycosylated. Analyses of the O-glycoproteome and endogenous peptidome PTMs were also conducted in the CSF of MCI and AD patients to provide a landscape of glycosylation patterns in different disease states. Our results showed a decreasing trend in fucosylation and an increasing trend of endogenous peptide O-glycosylation, which may play an important role in AD progression.
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Affiliation(s)
- Zhengwei Chen
- Department of Chemistry, University of Wisconsin, Madison, WI 53706, USA
| | - Danqing Wang
- Department of Chemistry, University of Wisconsin, Madison, WI 53706, USA
| | - Qing Yu
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Jillian Johnson
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Richard Shipman
- Applied Science Program, University of Wisconsin-Stout, Menomonie, WI 54751, USA
| | - Xiaofang Zhong
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Junfeng Huang
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Qinying Yu
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 43180, Mölndal, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 43180, Mölndal, Sweden,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, United Kingdom,UK Dementia Research Institute at UCL, London, WC1E 6BT, United Kingdom
| | - Sanjay Asthana
- School of Medicine and Public Health, University of Wisconsin, Madison, WI 53726, USA
| | - Cynthia Carlsson
- School of Medicine and Public Health, University of Wisconsin, Madison, WI 53726, USA
| | - Ozioma Okonkwo
- School of Medicine and Public Health, University of Wisconsin, Madison, WI 53726, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin, Madison, WI 53706, USA,School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA,Correspondence: Professor Lingjun Li, School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, 777 Highland Avenue, Madison, Wisconsin 53705-2222, , Fax: +1-608-262-5345, Phone: +1-608-265-8491
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3
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Simultaneous enrichment and sequential separation of O-linked glycopeptides and phosphopeptides with immobilized titanium (IV) ion affinity chromatography materials. J Chromatogr A 2022; 1681:463462. [DOI: 10.1016/j.chroma.2022.463462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 08/19/2022] [Accepted: 08/30/2022] [Indexed: 11/23/2022]
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4
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Li J, Zhang J, Xu M, Yang Z, Yue S, Zhou W, Gui C, Zhang H, Li S, Wang PG, Yang S. Advances in glycopeptide enrichment methods for the analysis of protein glycosylation over the past decade. J Sep Sci 2022; 45:3169-3186. [PMID: 35816156 DOI: 10.1002/jssc.202200292] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 06/16/2022] [Accepted: 07/01/2022] [Indexed: 11/12/2022]
Abstract
Advances in bioanalytical technology have accelerated the analysis of complex protein glycosylation, which is beneficial to understanding glycosylation in drug discovery and disease diagnosis. Due to its biological uniqueness in the course of disease occurrence and development, disease-specific glycosylation requires quantitative characterization of protein glycosylation. We provide a comprehensive review of recent advances in glycosylation analysis, including workflows for glycoprotein digestion, glycopeptide separation and enrichment, and mass-spectrometry sequencing. We specifically focus on different strategies for glycopeptide enrichment through physical interaction, chemical oxidation, or metabolic labeling of intact glycopeptides. The recent advances and challenges of O-glycosylation analysis are presented, and the development of improved enrichment methods combining different proteases to analyze O-glycosylation is also proposed. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Jiajia Li
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Jie Zhang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Mingming Xu
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Zeren Yang
- AstraZeneca, Medimmune Ct, Frederick, MD, 21703, USA
| | - Shuang Yue
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Wanlong Zhou
- U.S. Food and Drug Administration, Forensic Chemistry Center, Cincinnati, OH, 45237, USA
| | - Chunshan Gui
- Department of Pharmaceutical Analysis, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Haiyang Zhang
- Department of Pharmaceutical Analysis, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Shuwei Li
- Nanjing Apollomics Biotech, Inc., Nanjing, Jiangsu, 210033, China
| | - Perry G Wang
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD, 20740, USA
| | - Shuang Yang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China.,Department of Pharmaceutical Analysis, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
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5
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Glyco-Decipher enables glycan database-independent peptide matching and in-depth characterization of site-specific N-glycosylation. Nat Commun 2022; 13:1900. [PMID: 35393418 PMCID: PMC8990002 DOI: 10.1038/s41467-022-29530-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 03/16/2022] [Indexed: 12/20/2022] Open
Abstract
Glycopeptides with unusual glycans or poor peptide backbone fragmentation in tandem mass spectrometry are unaccounted for in typical site-specific glycoproteomics analysis and thus remain unidentified. Here, we develop a glycoproteomics tool, Glyco-Decipher, to address these issues. Glyco-Decipher conducts glycan database-independent peptide matching and exploits the fragmentation pattern of shared peptide backbones in glycopeptides to improve the spectrum interpretation. We benchmark Glyco-Decipher on several large-scale datasets, demonstrating that it identifies more peptide-spectrum matches than Byonic, MSFragger-Glyco, StrucGP and pGlyco 3.0, with a 33.5%-178.5% increase in the number of identified glycopeptide spectra. The database-independent and unbiased profiling of attached glycans enables the discovery of 164 modified glycans in mouse tissues, including glycans with chemical or biological modifications. By enabling in-depth characterization of site-specific protein glycosylation, Glyco-Decipher is a promising tool for advancing glycoproteomics analysis in biological research. Poor peptide fragmentation and unusual glycan structures limit mass spectrometry-based analysis of intact N-glycopeptides. Here, the authors develop Glyco-Decipher, a glycan-independent peptide search tool, to tackle these issues and improve the coverage of site-specific glycan analysis.
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6
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Zhang Y, Zhao W, Mao Y, Chen Y, Zheng S, Cao W, Zhu J, Hu L, Gong M, Cheng J, Yang H. O-Glycosylation Landscapes of SARS-CoV-2 Spike Proteins. Front Chem 2021; 9:689521. [PMID: 34552909 PMCID: PMC8450404 DOI: 10.3389/fchem.2021.689521] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 08/24/2021] [Indexed: 02/05/2023] Open
Abstract
The densely glycosylated spike (S) proteins that are highly exposed on the surface of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) facilitate viral attachment, entry, and membrane fusion. We have previously reported all the 22 N-glycosites and site-specific N-glycans in the S protein protomer. Herein, we report the O-glycosylation landscapes of SARS-CoV-2 S proteins, which were characterized through high-resolution mass spectrometry. Following digestion with trypsin and trypsin/Glu-C, and de-N-glycosylation using PNGase F, we determined the GalNAc-type O-glycosylation pattern of S proteins, including O-glycosites and the six most common O-glycans occupying them, via Byonic identification and manual validation. Finally, 255 intact O-glycopeptides composed of 50 peptides sequences and 43 O-glycosites were discovered by higher energy collision-induced dissociation (HCD), and three O-glycosites were confidently identified by electron transfer/higher energy collision-induced dissociation (EThcD) in the insect cell-expressed S protein. Most glycosites were modified by non-sialylated O-glycans such as HexNAc(1) and HexNAc(1)Hex (1). In contrast, in the human cell-expressed S protein S1 subunit, 407 intact O-glycopeptides composed of 34 peptides sequences and 30 O-glycosites were discovered by HCD, and 11 O-glycosites were unambiguously assigned by EThcD. However, the measurement of O-glycosylation occupancy hasn’t been made. Most glycosites were modified by sialylated O-glycans such as HexNAc(1)Hex (1)NeuAc (1) and HexNAc(1)Hex (1)NeuAc (2). Our results reveal that the SARS-CoV-2 S protein is an O-glycoprotein; the O-glycosites and O-glycan compositions vary with the host cell type. These comprehensive O-glycosylation landscapes of the S protein are expected to provide novel insights into the viral binding mechanism and present a strategy for the development of vaccines and targeted drugs.
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Affiliation(s)
- Yong Zhang
- Key Laboratory of Transplant Engineering and Immunology, MOH, Frontiers Science Center for Disease-related Molecular Network, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Wanjun Zhao
- Department of Thyroid Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Yonghong Mao
- Institute of Thoracic Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Yaohui Chen
- Institute of Thoracic Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Shanshan Zheng
- Key Laboratory of Transplant Engineering and Immunology, MOH, Frontiers Science Center for Disease-related Molecular Network, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Cao
- Key Laboratory of Transplant Engineering and Immunology, MOH, Frontiers Science Center for Disease-related Molecular Network, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Jingqiang Zhu
- Department of Thyroid Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Liqiang Hu
- Key Laboratory of Transplant Engineering and Immunology, MOH, Frontiers Science Center for Disease-related Molecular Network, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Meng Gong
- Key Laboratory of Transplant Engineering and Immunology, MOH, Frontiers Science Center for Disease-related Molecular Network, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Jingqiu Cheng
- Key Laboratory of Transplant Engineering and Immunology, MOH, Frontiers Science Center for Disease-related Molecular Network, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Hao Yang
- Key Laboratory of Transplant Engineering and Immunology, MOH, Frontiers Science Center for Disease-related Molecular Network, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
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7
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Levitsky LI, Bubis JA, Gorshkov MV, Tarasova IA. AA_stat: Intelligent profiling of in vivo and in vitro modifications from open search results. J Proteomics 2021; 248:104350. [PMID: 34389500 DOI: 10.1016/j.jprot.2021.104350] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/21/2021] [Accepted: 08/04/2021] [Indexed: 11/18/2022]
Abstract
Characterization of post-translational modifications is among the most challenging tasks in tandem mass spectrometry-based proteomics which has yet to find an efficient solution. The ultra-tolerant (open) database search attempts to meet this challenge. However, interpretation of the mass shifts observed in open search still requires an effective and automated solution. We have previously introduced the AA_stat tool for analysis of amino acid frequencies at different mass shifts and generation of hypotheses on unaccounted in vitro modifications. Here, we report on the new version of AA_stat, which now complements amino acid frequency statistics with a number of new features: (1) MS/MS-based localization of mass shifts and localization scoring, including shifts which are the sum of modifications; (2) inferring fixed modifications to increase method sensitivity; (3) inferring monoisotopic peak assignment errors and variable modifications based on abundant mass shift localizations to increase the yield of closed search; (4) new mass calibration algorithm to account for partial systematic shifts; (5) interactive integration of all results and a rated list of possible mass shift interpretations. With these options, we improve interpretation of open search results and demonstrate the utility of AA_stat for profiling of abundant and rare amino acid modifications. AA_stat is implemented in Python as an open-source command-line tool available at https://github.com/SimpleNumber/aa_stat. SIGNIFICANCE: Mass spectrometry-based PTM characterization has a long history, yet most of the methods rely on a priori knowledge of modifications of interest and do not provide a whole proteome modification landscape in a blind manner. The open database search is an efficient attempt to address this challenge by identifying peptides with mass shifts corresponding to possible modifications. Then, interpreting these mass shifts is required. Therefore, development of bioinformatics software for post-processing of the open search results, which is capable of detection and accurate annotation of new or unexpected modifications, from characterization of sample preparation efficiency and quality control to discovery of rare post-translational modifications, is of high importance.
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Affiliation(s)
- Lev I Levitsky
- V. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia
| | - Julia A Bubis
- V. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia
| | - Mikhail V Gorshkov
- V. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia
| | - Irina A Tarasova
- V. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia.
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8
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Yue X, Qin H, Chen Y, Fang Z, Liu L, Zhu H, Liu X, Zhou J, Tian K, Qiao X, Ye M. Highly Efficient Enrichment of O-GalNAc Glycopeptides by Using Immobilized Metal Ion Affinity Chromatography. Anal Chem 2021; 93:7579-7587. [PMID: 34009939 DOI: 10.1021/acs.analchem.0c05236] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Proteomics analysis of O-GalNAc glycosylation is important for the screening of biomarkers and the assessment of therapeutic responses. However, its analysis still faces challenges due to the poor performance of currently available enrichment methods. In this study, an enrichment method was established on the basis of Ti-IMAC(IV) materials, which could enrich the intact O-GalNAc glycopeptides via both the hydrophilic interaction and affinity interaction. This method enabled nearly 200 intact O-GalNAc glycopeptides identified from only 0.1 μL of human serum. This was nearly 2-fold different from that of the HILIC method. An in-depth analysis of the O-GalNAc glycosylation was performed, and 2093 intact glycopeptides were identified from 7.2 μL of human serum samples. This is the largest O-GalNAc glycosylation database of human serum from a trace amount of sample. Furthermore, 52 significantly changed intact O-GalNAc glycopeptides were determined by the quantitative analysis of hepatocellular carcinoma (HCC) and control serum samples, indicating the potential applications of this enrichment method in biomarker discovery.
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Affiliation(s)
- Xuyang Yue
- College of Pharmacy, Hebei Province Key Laboratory of Analytical Science & Technology, MOE Key Laboratory of Medicinal Chemistry & Molecular Diagnosis, Hebei University, Baoding 071002, China.,CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongqiang Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China
| | - Yao Chen
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zheng Fang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Luyao Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - He Zhu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoyan Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China
| | - Jiahua Zhou
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kailu Tian
- College of Pharmacy, Hebei Province Key Laboratory of Analytical Science & Technology, MOE Key Laboratory of Medicinal Chemistry & Molecular Diagnosis, Hebei University, Baoding 071002, China.,CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoqiang Qiao
- College of Pharmacy, Hebei Province Key Laboratory of Analytical Science & Technology, MOE Key Laboratory of Medicinal Chemistry & Molecular Diagnosis, Hebei University, Baoding 071002, China
| | - Mingliang Ye
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, China
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Huang J, Wu M, Zhang Y, Kong S, Liu M, Jiang B, Yang P, Cao W. OGP: A Repository of Experimentally Characterized O-Glycoproteins to Facilitate Studies on O-Glycosylation. GENOMICS PROTEOMICS & BIOINFORMATICS 2021; 19:611-618. [PMID: 33581334 PMCID: PMC9039567 DOI: 10.1016/j.gpb.2020.05.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 03/17/2020] [Accepted: 05/31/2020] [Indexed: 11/16/2022]
Abstract
Numerous studies on cancers, biopharmaceuticals, and clinical trials have necessitated comprehensive and precise analysis of protein O-glycosylation. However, the lack of updated and convenient databases deters the storage of and reference to emerging O-glycoprotein data. To resolve this issue, an O-glycoprotein repository named OGP was established in this work. It was constructed with a collection of O-glycoprotein data from different sources. OGP contains 9354 O-glycosylation sites and 11,633 site-specific O-glycans mapping to 2133 O-glycoproteins, and it is the largest O-glycoprotein repository thus far. Based on the recorded O-glycosylation sites, an O-glycosylation site prediction tool was developed. Moreover, an OGP-based website is already available (https://www.oglyp.org/). The website comprises four specially designed and user-friendly modules: statistical analysis, database search, site prediction, and data submission. The first version of OGP repository and the website allow users to obtain various O-glycoprotein-related information, such as protein accession Nos., O-glycosylation sites, O-glycopeptide sequences, site-specific O-glycan structures, experimental methods, and potential O-glycosylation sites. O-glycosylation data mining can be performed efficiently on this website, which will greatly facilitate related studies. In addition, the database is accessible from OGP website (https://www.oglyp.org/download.php).
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Affiliation(s)
- Jiangming Huang
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; The Fifth People's Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Fudan University, Shanghai 200032, China
| | - Mengxi Wu
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; The Fifth People's Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Fudan University, Shanghai 200032, China
| | - Yang Zhang
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; The Fifth People's Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Fudan University, Shanghai 200032, China
| | - Siyuan Kong
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Mingqi Liu
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Biyun Jiang
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; The Fifth People's Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Fudan University, Shanghai 200032, China
| | - Pengyuan Yang
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; The Fifth People's Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Fudan University, Shanghai 200032, China; NHC Key Laboratory of Glycoconjugates Research (Fudan University), Shanghai 200032, China.
| | - Weiqian Cao
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; The Fifth People's Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Fudan University, Shanghai 200032, China; NHC Key Laboratory of Glycoconjugates Research (Fudan University), Shanghai 200032, China.
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10
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Coombs KM. Update on Proteomic approaches to uncovering virus-induced protein alterations and virus -host protein interactions during the progression of viral infection. Expert Rev Proteomics 2020; 17:513-532. [PMID: 32910682 DOI: 10.1080/14789450.2020.1821656] [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] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Viruses induce profound changes in the cells they infect. Understanding these perturbations will assist in designing better therapeutics to combat viral infection. System-based proteomic assays now provide unprecedented opportunity to monitor large numbers of cellular proteins. AREAS COVERED This review will describe various quantitative and functional mass spectrometry-based methods, and complementary non-mass spectrometry-based methods, such as aptamer profiling and proximity extension assays, and examples of how each are used to delineate how viruses affect host cells, identify which viral proteins interact with which cellular proteins, and how these change during the course of a viral infection. PubMed was searched multiple times prior to manuscript submissions and revisions, using virus, viral, proteomics; in combination with each keyword. The most recent examples of published works from each search were then analyzed. EXPERT OPINION There has been exponential growth in numbers and types of proteomic analyses in recent years. Continued development of reagents that allow increased multiplexing and deeper proteomic probing of the cell, at quantitative and functional levels, enhancements that target more important protein modifications, and improved bioinformatics software tools and pathway prediction algorithms will accelerate this growth and usher in a new era of host proteome understanding.
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Affiliation(s)
- Kevin M Coombs
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba , Winnipeg, Manitoba, Canada.,Manitoba Centre for Proteomics and Systems Biology , Winnipeg, Manitoba, Canada.,Manitoba Institute of Child Health , Winnipeg, Manitoba, Canada
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11
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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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12
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Huang J, Jiang B, Zhao H, Wu M, Kong S, Liu M, Yang P, Cao W. Development of a Computational Tool for Automated Interpretation of Intact O-Glycopeptide Tandem Mass Spectra from Single Proteins. Anal Chem 2020; 92:6777-6784. [PMID: 32275135 DOI: 10.1021/acs.analchem.0c01091] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Precise and automated analysis of site-specific O-glycosylation on single proteins is crucial for comprehensive characterization of some important glycoproteins, such as tumor biomarkers and recombinant drug proteins. Mass spectrometry has been proven to be a powerful technique for protein sequencing and N-glycosylation analysis. However, challenges remain in developing computational tools for intact O-glycopeptide analysis, which has greatly hindered the development of mass-spectrometry-based O-glycosylation analysis. Herein, an integrated strategy together with a dedicated automated computational tool termed AOGP was developed for intact O-glycopeptide analysis on single proteins. AOGP utilized de novo sequencing for O-glycans and a database search strategy for peptide backbones. The false discovery rate (FDR) of the identification results was controlled and validated by a mixed Gaussian distribution estimation method. AOGP exhibited superior performance in identifying intact O-glycopeptides of the human erythropoietin with a total of 188 O-glycopeptide spectra reported under 1% FDR. AOGP is developed in Python, is fully open-sourced, and is equipped with a user-friendly interface. Such an easy-operating and robust tool would greatly facilitate O-glycosylation analysis on single proteins in tumor biomarker and recombinant drug protein development.
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13
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Wang S, Qin H, Mao J, Fang Z, Chen Y, Zhang X, Hu L, Ye M. Profiling of Endogenously Intact N-Linked and O-Linked Glycopeptides from Human Serum Using an Integrated Platform. J Proteome Res 2020; 19:1423-1434. [PMID: 32090575 DOI: 10.1021/acs.jproteome.9b00592] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Endogenous glycopeptides in serum are an invaluable resource for biomarker discovery. Due to the low abundance and the poor fragmentation in tandem mass spectrometry, the identification of endogenously intact glycopeptides still faces many challenges. Herein, an integrated platform is fabricated for the identification of N-linked and O-linked endogenously intact glycopeptides. In this platform, the high-temperature acid denaturation, ultrafiltration, and hydrophilic interaction chromatography steps are combined together for the highly efficient extraction of the endogenously intact glycopeptides from a small amount of serum. Additionally, the twin-spectra scheme and in silico deglycosylation strategy were applied for the identification of N-linked and O-linked endogenous glycopeptides, respectively. In total, 223 intact N-glycopeptides and 51 intact O-glycopeptides are identified from only 40 μL of the human serum sample. This is the first study reporting the identification of endogenously intact N-linked and O-linked glycopeptide and is also the largest data set of endogenously intact glycopeptides reported so far. The distributions of glycans among peptides and proteins and cleavage sites on peptides are further analyzed to seek the regulation of endogenous glycosylation for disease mechanism. The developed strategy provides a novel platform for the disease biomarker discovery.
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Affiliation(s)
- Shuyue Wang
- Key Laboratory Molecular Enzymology and Engineering, The Ministry of Education, National Engineering Laboratory of AIDS Vaccine, School of Life Sciences, Jilin University, Changchun 130023, China.,CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China
| | - Hongqiang Qin
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China
| | - Jiawei Mao
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China
| | - Zheng Fang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yao Chen
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaolei Zhang
- Key Laboratory Molecular Enzymology and Engineering, The Ministry of Education, National Engineering Laboratory of AIDS Vaccine, School of Life Sciences, Jilin University, Changchun 130023, China.,CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China
| | - Lianghai Hu
- Key Laboratory Molecular Enzymology and Engineering, The Ministry of Education, National Engineering Laboratory of AIDS Vaccine, School of Life Sciences, Jilin University, Changchun 130023, China
| | - Mingliang Ye
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China
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14
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Affiliation(s)
| | | | - Ronghu Wu
- School of Chemistry and Biochemistry and the Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
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15
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Zhao X, Zheng S, Li Y, Huang J, Zhang W, Xie Y, Qin W, Qian X. An Integrated Mass Spectroscopy Data Processing Strategy for Fast Identification, In-Depth, and Reproducible Quantification of Protein O-Glycosylation in a Large Cohort of Human Urine Samples. Anal Chem 2019; 92:690-698. [DOI: 10.1021/acs.analchem.9b02228] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Xinyuan Zhao
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, People’s Republic of China
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, People’s Republic of China
| | - Shanshan Zheng
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, People’s Republic of China
| | - Yuanyuan Li
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, People’s Republic of China
| | - Junjie Huang
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, People’s Republic of China
| | - Wanjun Zhang
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, People’s Republic of China
| | - Yuping Xie
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, People’s Republic of China
| | - Weijie Qin
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, People’s Republic of China
- College of Basic Medicine, Anhui Medical University, Hefei 230032, China
| | - Xiaohong Qian
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, People’s Republic of China
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, People’s Republic of China
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16
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Chen Z, Huang J, Li L. Recent advances in mass spectrometry (MS)-based glycoproteomics in complex biological samples. Trends Analyt Chem 2019; 118:880-892. [PMID: 31579312 PMCID: PMC6774629 DOI: 10.1016/j.trac.2018.10.009] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Protein glycosylation plays a key role in various biological processes and disease-related pathological progression. Mass spectrometry (MS)-based glycoproteomics is a powerful approach that provides a system-wide profiling of the glycoproteome in a high-throughput manner. There have been numerous significant technological advances in this field, including improved glycopeptide enrichment, hybrid fragmentation techniques, emerging specialized software packages, and effective quantitation strategies, as well as more dedicated workflows. With increasingly sophisticated glycoproteomics tools on hand, researchers have extensively adapted this approach to explore different biological systems both in terms of in-depth glycoproteome profiling and comparative glycoproteome analysis. Quantitative glycoproteomics enables researchers to discover novel glycosylation-based biomarkers in various diseases with potential to offer better sensitivity and specificity for disease diagnosis. In this review, we present recent methodological developments in MS-based glycoproteomics and highlight its utility and applications in answering various questions in complex biological systems.
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Affiliation(s)
- Zhengwei Chen
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Junfeng Huang
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53705, USA
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA
- School of Life Sciences, Tianjin University, Tianjin, 300072, China
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17
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Xiao H, Sun F, Suttapitugsakul S, Wu R. Global and site-specific analysis of protein glycosylation in complex biological systems with Mass Spectrometry. MASS SPECTROMETRY REVIEWS 2019; 38:356-379. [PMID: 30605224 PMCID: PMC6610820 DOI: 10.1002/mas.21586] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Accepted: 11/27/2018] [Indexed: 05/16/2023]
Abstract
Protein glycosylation is ubiquitous in biological systems and plays essential roles in many cellular events. Global and site-specific analysis of glycoproteins in complex biological samples can advance our understanding of glycoprotein functions and cellular activities. However, it is extraordinarily challenging because of the low abundance of many glycoproteins and the heterogeneity of glycan structures. The emergence of mass spectrometry (MS)-based proteomics has provided us an excellent opportunity to comprehensively study proteins and their modifications, including glycosylation. In this review, we first summarize major methods for glycopeptide/glycoprotein enrichment, followed by the chemical and enzymatic methods to generate a mass tag for glycosylation site identification. We next discuss the systematic and quantitative analysis of glycoprotein dynamics. Reversible protein glycosylation is dynamic, and systematic study of glycoprotein dynamics helps us gain insight into glycoprotein functions. The last part of this review focuses on the applications of MS-based proteomics to study glycoproteins in different biological systems, including yeasts, plants, mice, human cells, and clinical samples. Intact glycopeptide analysis is also included in this section. Because of the importance of glycoproteins in complex biological systems, the field of glycoproteomics will continue to grow in the next decade. Innovative and effective MS-based methods will exponentially advance glycoscience, and enable us to identify glycoproteins as effective biomarkers for disease detection and drug targets for disease treatment. © 2019 Wiley Periodicals, Inc. Mass Spec Rev 9999: XX-XX, 2019.
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Affiliation(s)
- Haopeng Xiao
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta 30332 Georgia
| | - Fangxu Sun
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta 30332 Georgia
| | - Suttipong Suttapitugsakul
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta 30332 Georgia
| | - Ronghu Wu
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta 30332 Georgia
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18
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Advances toward mapping the full extent of protein site-specific O-GalNAc glycosylation that better reflects underlying glycomic complexity. Curr Opin Struct Biol 2019; 56:146-154. [DOI: 10.1016/j.sbi.2019.02.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 02/04/2019] [Accepted: 02/13/2019] [Indexed: 01/01/2023]
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19
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Mao J, You X, Qin H, Wang C, Wang L, Ye M. A New Searching Strategy for the Identification of O-Linked Glycopeptides. Anal Chem 2019; 91:3852-3859. [PMID: 30802037 DOI: 10.1021/acs.analchem.8b04184] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
For the analysis of homogeneous post-translational modifications such as protein phosphorylation and acetylation, setting a variable modification on the specific residue(s) is applied to identify the modified peptides for database searching. However, this approach is often not applicable to identify intact mucin-type O-glycopeptides due to the high microheterogeneity of the glycosylation. Because there is virtually no carbohydrate-related tag on the peptide fragments after the O-glycopeptides are dissociated in HCD, we find it is unnecessary to set the variable mass tags on the Ser/Thr residues to identify the peptide sequences. In this study, we present a novel approach, termed as O-Search, for the interpretation of O-glycopeptide HCD spectra. Instead of setting the variable mass tags on the Ser/Thr residues, we set variable mass tags on the peptide level. The precursor mass of the MS/MS spectrum was deducted by every possible summed mass of O-glycan combinations on at most three S/T residues. All the spectra with these new precursor masses were searched against the protein sequence database without setting variable glycan modifications. It was found that this method had much decreased search space and had excellent sensitivity in the identification of O-glycopeptides. Compared with the conventional searching approach, O-Search yielded 96%, 86%, and 79% improvement in glycopeptide spectra matching, glycopeptide identification, and peptide sequence identification, respectively. It was demonstrated that O-Search enabled the consideration of more glycan structures and was fitted to analyze microheterogeneity of O-glycosylation.
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Affiliation(s)
- Jiawei Mao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics , Chinese Academy of Science , Dalian , 116023 , China.,University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Xin You
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics , Chinese Academy of Science , Dalian , 116023 , China.,University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Hongqiang Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics , Chinese Academy of Science , Dalian , 116023 , China.,University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Chengye Wang
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery , The Second Hospital of Dalian Medical University , Dalian , Liaoning 116023 , China
| | - Liming Wang
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery , The Second Hospital of Dalian Medical University , Dalian , Liaoning 116023 , China
| | - Mingliang Ye
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics , Chinese Academy of Science , Dalian , 116023 , China.,University of Chinese Academy of Sciences , Beijing 100049 , China
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20
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Zhang W, Jiang L, Fu L, Jia Q. Selective enrichment of glycopeptides based on copper tetra(N-carbonylacrylic) aminephthalocyanine and iminodiacetic acid functionalized polymer monolith. J Sep Sci 2019; 42:1037-1044. [DOI: 10.1002/jssc.201801030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 12/19/2018] [Accepted: 12/20/2018] [Indexed: 12/17/2022]
Affiliation(s)
- Wenjuan Zhang
- College of Chemistry; Jilin University; Changchun China
| | - Liyan Jiang
- Key Laboratory for Molecular Enzymology and Engineering of Ministry of Education; School of Life Sciences; Jilin University; Changchun China
| | - Li Fu
- The Second Hospital of Jilin University; Changchun China
| | - Qiong Jia
- College of Chemistry; Jilin University; Changchun China
- Key Laboratory for Molecular Enzymology and Engineering of Ministry of Education; School of Life Sciences; Jilin University; Changchun China
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21
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Ikegami T. Hydrophilic interaction chromatography for the analysis of biopharmaceutical drugs and therapeutic peptides: A review based on the separation characteristics of the hydrophilic interaction chromatography phases. J Sep Sci 2019; 42:130-213. [DOI: 10.1002/jssc.201801074] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 11/17/2018] [Accepted: 11/18/2018] [Indexed: 12/13/2022]
Affiliation(s)
- Tohru Ikegami
- Faculty of Molecular Chemistry and Engineering; Kyoto Institute of Technology; Kyoto Japan
- Institute of Pharmaceutical Sciences; Pharmaceutical (Bio-) Analysis; Eberhard-Karls Universität Tübingen; Tübingen Germany
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22
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Yang W, Ao M, Hu Y, Li QK, Zhang H. Mapping the O-glycoproteome using site-specific extraction of O-linked glycopeptides (EXoO). Mol Syst Biol 2018; 14:e8486. [PMID: 30459171 PMCID: PMC6243375 DOI: 10.15252/msb.20188486] [Citation(s) in RCA: 91] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 10/16/2018] [Accepted: 10/17/2018] [Indexed: 01/30/2023] Open
Abstract
Protein glycosylation is one of the most abundant post-translational modifications. However, detailed analysis of O-linked glycosylation, a major type of protein glycosylation, has been severely impeded by the scarcity of suitable methodologies. Here, a chemoenzymatic method is introduced for the site-specific extraction of O-linked glycopeptides (EXoO), which enabled the mapping of over 3,000 O-linked glycosylation sites and definition of their glycans on over 1,000 proteins in human kidney tissues, T cells, and serum. This large-scale localization of O-linked glycosylation sites demonstrated that EXoO is an effective method for defining the site-specific O-linked glycoproteome in different types of sample. Detailed structural analysis of the sites identified revealed conserved motifs and topological orientations facing extracellular space, the cell surface, the lumen of the Golgi, and the endoplasmic reticulum (ER). EXoO was also able to reveal significant differences in the O-linked glycoproteome of tumor and normal kidney tissues pointing to its broader use in clinical diagnostics and therapeutics.
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Affiliation(s)
- Weiming Yang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Minghui Ao
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yingwei Hu
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Qing Kay Li
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hui Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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23
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Recent advances in covalent organic frameworks for separation and analysis of complex samples. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.07.013] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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24
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You X, Yao Y, Mao J, Qin H, Liang X, Wang L, Ye M. Chemoenzymatic Approach for the Proteomics Analysis of Mucin-Type Core-1 O-Glycosylation in Human Serum. Anal Chem 2018; 90:12714-12722. [PMID: 30350625 DOI: 10.1021/acs.analchem.8b02993] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Human serum is a complex body fluid that contains various N-linked and O-linked glycoproteins. Compared with N-linked glycoproteins, the serum O-linked glycoproteins are not well-studied due to their high heterogeneity and their low abundance. Herein, we presented a novel chemoenzymatic method to analyze core-1 type of O-GalNAcylation in human serum. In this approach, the tryptic digest of serum was first subjected to PNGase F treatment to release the N-glycan and was then treated with strong acid to release sialic acid residues from mucin-type O-glycans. In this way, the internal Gal/GalNAc residues were exposed and were oxidized by the galactose oxidase to carry the aldehyde groups. The oxidized O-GalNAcylated peptides were then captured by hydrazide beads and eluted with methoxylamine for LC-MS/MS analysis. The de-N-deglycosylation decreased the abundance of N-glycopeptides, the desialylation simplified the O-glycans and the enzymatic oxidization conferred the enrichment specificity. We have demonstrated that this method was fitted to analyze O-GalNAcylated peptides with high confidence. This method was applied to analyze human serum, which resulted in the identification of 59 O-GalNAc modified peptide sequences corresponding to 38 glycoproteins from 50 μL of serum. This method is expected to have broad applications in the analysis of O-glycoproteome.
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Affiliation(s)
- Xin You
- CAS Key Laboratory of Separation Science for Analytical Chemistry , Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian , 116023 , China.,University of Chinese Academy of Sciences , Beijing , 100049 , China
| | - Yating Yao
- CAS Key Laboratory of Separation Science for Analytical Chemistry , Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian , 116023 , China.,University of Chinese Academy of Sciences , Beijing , 100049 , China
| | - Jiawei Mao
- CAS Key Laboratory of Separation Science for Analytical Chemistry , Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian , 116023 , China.,University of Chinese Academy of Sciences , Beijing , 100049 , China
| | - Hongqiang Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry , Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian , 116023 , China.,University of Chinese Academy of Sciences , Beijing , 100049 , China
| | - Xinmiao Liang
- CAS Key Laboratory of Separation Science for Analytical Chemistry , Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian , 116023 , China.,University of Chinese Academy of Sciences , Beijing , 100049 , China
| | - Liming Wang
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery , The Second Hospital of Dalian Medical University , Dalian , Liaoning 116023 , China
| | - Mingliang Ye
- CAS Key Laboratory of Separation Science for Analytical Chemistry , Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian , 116023 , China.,University of Chinese Academy of Sciences , Beijing , 100049 , China
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25
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You X, Qin H, Mao J, Tian Y, Dong M, Guo Z, Liang X, Wang L, Jin Y, Ye M. Highly Efficient Identification of O-GalNAc Glycosylation by an Acid-Assisted Glycoform Simplification Approach. Proteomics 2018; 18:e1800042. [PMID: 30033600 DOI: 10.1002/pmic.201800042] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 06/15/2018] [Indexed: 01/04/2023]
Abstract
Compared with N-linked glycosylation, the analysis of O-GalNAc glycosylation is extremely challenging due to the high structure diversity of glycans and lack of glycosidases to release O-GalNAc glycans. In this work, a glycoform simplification strategy by combining HILIC enrichment with chemical de-sialylation to characterize O-GalNAc glycosylation of human serum is presented. This method is first validated by using the bovine fetuin as the test sample. It is found that more than 90% of the sialic acid residues can be removed from bovine fetuin by the acid-assisted de-sialylation method, which significantly simplifies the glycan structure and improves identification sensitivity. Indeed, the number of identified peptide backbones increases nearly one fold when this strategy is used. This method is further applied to analyze the human serum sample, where 185 O-GalNAc modified peptide sequences corresponding to 94 proteins with high confidence (FDR (false detection rate) <1%) are identified. This straight forward strategy can significantly reduce the variations of glycan structures, and is applicable to analysis of other biological samples with high complexity.
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Affiliation(s)
- Xin You
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, 116023 Dalian, China.,University of Chinese Academy of Sciences, 100049 Beijing, China
| | - Hongqiang Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, 116023 Dalian, China
| | - Jiawei Mao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, 116023 Dalian, China.,University of Chinese Academy of Sciences, 100049 Beijing, China
| | - Yu Tian
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, The Second Hospital of Dalian Medical University, Dalian Medical University, 116023 Dalian, Liaoning, China
| | - Mingming Dong
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, 116023 Dalian, China
| | - Zhimou Guo
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, 116023 Dalian, China
| | - Xinmiao Liang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, 116023 Dalian, China
| | - Liming Wang
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, The Second Hospital of Dalian Medical University, Dalian Medical University, 116023 Dalian, Liaoning, China
| | - Yan Jin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, 116023 Dalian, China
| | - Mingliang Ye
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science, 116023 Dalian, China
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26
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Zhang W, Jiang L, Wang D, Jia Q. Preparation of copper tetra(N-carbonylacrylic) aminephthalocyanine functionalized zwitterionic-polymer monolith for highly specific capture of glycopeptides. Anal Bioanal Chem 2018; 410:6653-6661. [DOI: 10.1007/s00216-018-1278-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 06/21/2018] [Accepted: 07/17/2018] [Indexed: 01/05/2023]
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27
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Benktander JD, Gizaw ST, Gaunitz S, Novotny MV. Analytical Scheme Leading to Integrated High-Sensitivity Profiling of Glycosphingolipids Together with N- and O-Glycans from One Sample. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2018; 29:1125-1137. [PMID: 29744812 PMCID: PMC6226365 DOI: 10.1007/s13361-018-1933-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 02/23/2018] [Accepted: 02/23/2018] [Indexed: 05/15/2023]
Abstract
Glycoconjugates are directly or indirectly involved in many biological processes. Due to their complex structures, the structural elucidation of glycans and the exploration of their role in biological systems have been challenging. Glycan pools generated through release from glycoprotein or glycolipid mixtures can often be very complex. For the sake of procedural simplicity, many glycan profiling studies choose to concentrate on a single class of glycoconjugates. In this paper, we demonstrate it feasible to cover glycosphingolipids, N-glycans, and O-glycans isolated from the same sample. Small volumes of human blood serum and ascites fluid as well as small mouse brain tissue samples are sufficient to profile sequentially glycans from all three classes of glycoconjugates and even positively identify some mixture components through MALDI-MS and LC-ESI-MS. The results show that comprehensive glycan profiles can be obtained from the equivalent of 500-μg protein starting material or possibly less. These methodological improvements can help accelerating future glycomic comprehensive studies, especially for precious clinical samples. Graphical Abstract Outline of glycan profiling procedures.
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Affiliation(s)
- John D Benktander
- Department of Chemistry, Indiana University, 800 E. Kirkwood Ave., Bloomington, IN, 47405, USA
| | - Solomon T Gizaw
- Department of Chemistry, Indiana University, 800 E. Kirkwood Ave., Bloomington, IN, 47405, USA
| | - Stefan Gaunitz
- Department of Chemistry, Indiana University, 800 E. Kirkwood Ave., Bloomington, IN, 47405, USA
| | - Milos V Novotny
- Department of Chemistry, Indiana University, 800 E. Kirkwood Ave., Bloomington, IN, 47405, USA.
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28
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Arend P. Position of human blood group O(H) and phenotype-determining enzymes in growth and infectious disease. Ann N Y Acad Sci 2018; 1425:5-18. [PMID: 29754430 PMCID: PMC7676429 DOI: 10.1111/nyas.13694] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 02/22/2018] [Accepted: 03/06/2018] [Indexed: 12/12/2022]
Abstract
The human ABO(H) blood group phenotypes arise from the evolutionarily oldest genetic system found in primate populations. While the blood group antigen A is considered the ancestral primordial structure, under the selective pressure of life‐threatening diseases blood group O(H) came to dominate as the most frequently occurring blood group worldwide. Non‐O(H) phenotypes demonstrate impaired formation of adaptive and innate immunoglobulin specificities due to clonal selection and phenotype formation in plasma proteins. Compared with individuals with blood group O(H), blood group A individuals not only have a significantly higher risk of developing certain types of cancer but also exhibit high susceptibility to malaria tropica or infection by Plasmodium falciparum. The phenotype‐determining blood group A glycotransferase(s), which affect the levels of anti‐A/Tn cross‐reactive immunoglobulins in phenotypic glycosidic accommodation, might also mediate adhesion and entry of the parasite to host cells via trans‐species O‐GalNAc glycosylation of abundantly expressed serine residues that arise throughout the parasite's life cycle, while excluding the possibility of antibody formation against the resulting hybrid Tn antigen. In contrast, human blood group O(H), lacking this enzyme, is indicated to confer a survival advantage regarding the overall risk of developing cancer, and individuals with this blood group rarely develop life‐threatening infections involving evolutionarily selective malaria strains.
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Affiliation(s)
- Peter Arend
- Department of Medicine, Philipps University Marburg, Marburg/Lahn, Germany. Gastroenterology Research Laboratory, College of Medicine, University of Iowa, Iowa City, Iowa. Research Laboratories, Chemie Grünenthal GmbH, Aachen, Germany
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29
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Xie Y, Liu Q, Li Y, Deng C. Core-shell structured magnetic metal-organic framework composites for highly selective detection of N-glycopeptides based on boronic acid affinity chromatography. J Chromatogr A 2018; 1540:87-93. [PMID: 29429745 DOI: 10.1016/j.chroma.2018.02.013] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Revised: 02/02/2018] [Accepted: 02/05/2018] [Indexed: 01/17/2023]
Abstract
Boronic acid affinity chromatography (BAAC) is one of the most significant methods in glycoproteomics research due to its low bias towards glycopeptides and easy enrichment process. In this work, core-shell structured magnetic metal-organic framework (MOF) composites with abundant boronic acid groups were designed and synthesized for selective glycopeptide enrichment based on BAAC. The as-prepared core-shell structured magnetic MOF composites (denoted as Fe3O4@PVP/PEI@MOF (B)) inherited strong magnetic responsiveness from the Fe3O4 core as well as ultrahigh surface area and abundant boronic acid sites from the MOF shell. The affinity between boronic acid and cis-diols groups endowed the composites with improved sensitivity (0.5 fmol/μL) and selectivity (1:100) towards glycopeptides, achieving remarkable results in glycopeptides detection from standard glycoprotein digests as well as complex bio-samples. As a result, a total of 209 N-glycosylation peptides from 89 different glycoproteins were identified from human serum digests, indicating its broad prospect in glycoproteome study.
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Affiliation(s)
- Yiqin Xie
- The Fifth People's Hospital of Shanghai, Department of Chemistry, Institutes of Biomedical Sciences, and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, 200433, China
| | - Qianjing Liu
- The Fifth People's Hospital of Shanghai, Department of Chemistry, Institutes of Biomedical Sciences, and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, 200433, China
| | - Yan Li
- Pharmaceutical Analysis Department, School of Pharmacy, Fudan University, Shanghai, 201206, China.
| | - Chunhui Deng
- The Fifth People's Hospital of Shanghai, Department of Chemistry, Institutes of Biomedical Sciences, and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, 200433, China.
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30
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You X, Qin H, Ye M. Recent advances in methods for the analysis of protein o-glycosylation at proteome level. J Sep Sci 2017; 41:248-261. [PMID: 28988430 DOI: 10.1002/jssc.201700834] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 09/15/2017] [Accepted: 09/16/2017] [Indexed: 12/12/2022]
Abstract
O-Glycosylation, which refers to the glycosylation of the hydroxyl group of side chains of Serine/Threonine/Tyrosine residues, is one of the most common post-translational modifications. Compared with N-linked glycosylation, O-glycosylation is less explored because of its complex structure and relatively low abundance. Recently, O-glycosylation has drawn more and more attention for its various functions in many sophisticated biological processes. To obtain a deep understanding of O-glycosylation, many efforts have been devoted to develop effective strategies to analyze the two most abundant types of O-glycosylation, i.e. O-N-acetylgalactosamine and O-N-acetylglucosamine glycosylation. In this review, we summarize the proteomics workflows to analyze these two types of O-glycosylation. For the large-scale analysis of mucin-type glycosylation, the glycan simplification strategies including the ''SimpleCell'' technology were introduced. A variety of enrichment methods including lectin affinity chromatography, hydrophilic interaction chromatography, hydrazide chemistry, and chemoenzymatic method were introduced for the proteomics analysis of O-N-acetylgalactosamine and O-N-acetylglucosamine glycosylation.
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Affiliation(s)
- Xin You
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Hongqiang Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Mingliang Ye
- CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.,University of Chinese Academy of Sciences, Beijing, China
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31
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Yang W, Shah P, Hu Y, Toghi Eshghi S, Sun S, Liu Y, Zhang H. Comparison of Enrichment Methods for Intact N- and O-Linked Glycopeptides Using Strong Anion Exchange and Hydrophilic Interaction Liquid Chromatography. Anal Chem 2017; 89:11193-11197. [PMID: 29016103 DOI: 10.1021/acs.analchem.7b03641] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Heterogeneity of protein glycosylation poses great challenges for analysis that is key to understand structure and function of glycoproteins. Resolving this conundrum requires efficient and specific enrichment of intact glycopeptides for identification and quantitation. To this end, hydrophilic interaction chromatography (HILIC) has been commonly used to enrich intact N- and O-linked glycopeptides. However, its effectiveness to enrich isobarically labeled glycopeptides remains unclear. Here, we studied three different enrichment methods for enrichment of N- and O-linked glycopeptides. It was found that removal of N-glycans prior to enrichment of O-linked glycopeptides by HILIC improved identification of O-linked glycopeptides by mass spectrometry. We also compared the enrichment of intact N- and O-linked glycopeptides using other chromatography methods and found that using cartridges containing materials for strong anion exchange (SAX) chromatography increased yield and identification of N- and O-linked glycopeptides. The enrichment of O-linked glycopeptides was further improved when a Retain AX cartridge (RAX) was used. In particular, isobaric tag labeled glycopeptides after C18 desalting could be readily enriched by SAX and RAX cartridges but not by HILIC to enable quantitative glycoproteomics. It is anticipated that the use of SAX and RAX cartridges will facilitate broad applications of identifications and quantitation of glycoproteins.
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Affiliation(s)
- Weiming Yang
- Department of Pathology, Johns Hopkins University School of Medicine , 400 North Broadway, Room 4001A, Baltimore, Maryland 21231, United States
| | - Punit Shah
- Department of Pathology, Johns Hopkins University School of Medicine , 400 North Broadway, Room 4001A, Baltimore, Maryland 21231, United States
| | - Yingwei Hu
- Department of Pathology, Johns Hopkins University School of Medicine , 400 North Broadway, Room 4001A, Baltimore, Maryland 21231, United States
| | - Shadi Toghi Eshghi
- Department of Pathology, Johns Hopkins University School of Medicine , 400 North Broadway, Room 4001A, Baltimore, Maryland 21231, United States
| | - Shisheng Sun
- Department of Pathology, Johns Hopkins University School of Medicine , 400 North Broadway, Room 4001A, Baltimore, Maryland 21231, United States
| | - Yang Liu
- Department of Pathology, Johns Hopkins University School of Medicine , 400 North Broadway, Room 4001A, Baltimore, Maryland 21231, United States
| | - Hui Zhang
- Department of Pathology, Johns Hopkins University School of Medicine , 400 North Broadway, Room 4001A, Baltimore, Maryland 21231, United States
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32
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Zhang Y, Xie X, Zhao X, Tian F, Lv J, Ying W, Qian X. Systems analysis of singly and multiply O-glycosylated peptides in the human serum glycoproteome via EThcD and HCD mass spectrometry. J Proteomics 2017; 170:14-27. [PMID: 28970103 DOI: 10.1016/j.jprot.2017.09.014] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 09/26/2017] [Accepted: 09/28/2017] [Indexed: 01/20/2023]
Abstract
Human serum has been intensively studied to identify biomarkers via global proteomic analysis. The altered O-glycoproteome is associated with human pathological state including cancer, inflammatory and degenerative diseases and is an attractive source of disease biomarkers. Because of the microheterogeneity and macroheterogeneity of O-glycosylation, site-specific O-glycosylation analysis in human serum is still challenging. Here, we developed a systematic strategy that combined multiple enzyme digestion, multidimensional separation for sample preparation and high-resolution tandem MS with Byonic software for intact O-glycopeptide characterization. We demonstrated that multiple enzyme digestion or multidimensional separation can make sample preparation more efficient and that EThcD is not only suitable for the identification of singly O-glycosylated peptides (50.3%) but also doubly (21.2%) and triply (28.5%) O-glycosylated peptides. Totally, with the strict scoring criteria, 499 non-redundant intact O-glycopeptides, 173 O-glycosylation sites and 6 types of O-glycans originating from 49 O-glycoprotein groups were identified in human serum, including 121 novel O-glycosylation sites. Currently, this is the largest data set of site-specific native O-glycoproteome from human serum samples. We expect that the strategies developed by this study will facilitate in-depth analyses of native O-glycoproteomes in human serum and provide opportunities to understand the functional roles of protein O-glycosylation in human health and diseases. BIOLOGICAL SIGNIFICANCE The altered O-glycoproteome is associated with human pathological state and is an attractive source of disease biomarkers. However, site-specific O-glycosylation analysis is challenging because of the microheterogeneity (different glycoforms attached to one glycosylation site) and macroheterogeneity (site occupancy) of O-glycosylation. In this work, we developed a systematic strategy for intact O-glycopeptide characterization. This study took advantage of the inherent properties of the new fragmentation method called EThcD, which provides more complete fragmentation information about O-glycosylated peptides and a more confident site localization of O-glycans than collision-induced dissociation (HCD). We demonstrated that multiple enzyme digestion or multidimensional separation can make sample preparation more efficient and that EThcD was not only suitable for the identification of singly O-glycosylated peptides (50.3%) but also doubly (21.2%) and triply (28.5%) O-glycosylated peptides. Finally, we got a largest data set of site-specific native O-glycoproteome from human serum samples. Furthermore, quantitative analysis of intact O-glycopeptides from the serum samples of IgA nephropathy (IgAN) patients and healthy donors was performed, and the results showed the potential of the strategy to discover O-glycosylation biomarkers. We expect that the strategies developed by this study will facilitate in-depth analyses of native O-glycoproteomes in human serum and lead to exciting opportunities to understand the functional roles of protein O-glycosylation in human health and diseases.
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Affiliation(s)
- Yong Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Xinfang Xie
- Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Peking University, Ministry of Education, Beijing, China
| | - Xinyuan Zhao
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Fang Tian
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Jicheng Lv
- Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Peking University, Ministry of Education, Beijing, China
| | - Wantao Ying
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine, Beijing 102206, China.
| | - Xiaohong Qian
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine, Beijing 102206, China.
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