1
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Bi M, Chen Y, Tian Z. Serum N-glycoproteomics characterization of differential N-glycosylation in schizophrenia. J Proteomics 2025; 316:105434. [PMID: 40118250 DOI: 10.1016/j.jprot.2025.105434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2024] [Revised: 03/17/2025] [Accepted: 03/17/2025] [Indexed: 03/23/2025]
Abstract
Glycosylation plays a crucial role in neurotransmission and signaling in schizophrenia; however, comprehensive characterization at the glycoproteome level is still lacking. Here we report our site- and structure-specific quantitative N-glycoproteomics characterization of differential N-glycosylation in the sera of schizophrenia patients at the molecular level of intact N-glycopeptide, where comprehensive qualitative (N-glycosite, monosaccharide composition and sequence structures of N-glycans) and quantitative (fold change) information are obtained. With tandem mass tag labeling, liquid chromatography tandem mass spectrometry analysis and site- and structure-specific DB search using GPSeeker, 7855 intact N-glycopeptides were identified corresponding to 1914 peptide backbones, 1997 N-glycosites and 1671 N-glycoprotein; where 1088 intact N-glycopeptides were differentially expressed in the sera of schizophrenia patients (relative to healthy control) with fold change of no less than 1.5. Function annotation of the corresponding N-glycoproteins was carried out. Neurodegeneration and complement pathway were enriched. These findings provide a comprehensive site- and structure-specific picture of aberrant N-glycosylation in schizophrenia and may foster further function and mechanism studies. SIGNIFICANCE: Schizophrenia, as a complex mental disorder, is affecting an increasing number of individuals globally, yet clinical research has struggled to clearly elucidate its pathogenesis. Current diagnostic and treatment approaches largely depend on patient symptoms and behavior, which lack precision. N-glycoproteomics offers a new dimension of understanding by exploring how schizophrenia alters protein glycosylation patterns in the body. Investigating N-glycoproteins not only contributes to the identification of novel early diagnostic biomarkers but also enhances our knowledge of disease pathogenesis. These molecular insights could pave the way for more accurate diagnostic tools and targeted therapies.
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Affiliation(s)
- Ming Bi
- School of Chemical Science & Engineering, Tongji University, Shanghai 200092, China
| | - Yun Chen
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China.
| | - Zhixin Tian
- School of Chemical Science & Engineering, Tongji University, Shanghai 200092, China.
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2
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Kothlow K, Schramm HM, Markuson KA, Russell JH, Sutherland E, Veth TS, Zhang R, Duboff AG, Tejus VR, McDermott LE, Dräger LS, Riley NM. Extracting informative glycan-specific ions from glycopeptide MS/MS spectra with GlyCounter. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.03.24.645139. [PMID: 40196649 PMCID: PMC11974806 DOI: 10.1101/2025.03.24.645139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/09/2025]
Abstract
Glycopeptide tandem mass spectra typically contain numerous glycan-specific fragments that can inform several features of glycan modifications, including glycan class, composition, and structure. While these fragment ions are often straightforward to observe by eye, few tools exist to systemically explore these common glycopeptide spectral features or explore their relationships to each other. Instead, most studies rely on manual inspection to understand glycan-informative ion content in their data, or they are restricted to evaluating the presence of these ions only in the small fraction of spectra that are identified by glycopeptide search algorithms. Here we introduce GlyCounter as a freely available, open-source tool to rapidly extract oxonium, Y-type, and custom ion information from raw data files. We highlight GlyCounter's utility by evaluating glycan-specific fragments in a diverse selection of publicly available datasets to demonstrate how others in the field can make immediate use of this software. In several cases, we show how conclusions drawn in these publications are evident simply through GlyCounter's extracted ion information without requiring database searches or experiment-specific programs. Although one of our goals is to decouple spectral evaluation from glycopeptide identification, we also show that evaluating oxonium ion content with GlyCounter can supplement a database search as valuable spectral evidence to validate conclusions. In all, we present GlyCounter as a user-friendly platform that can be easily incorporated into most glycoproteomic workflows to refine sample preparation, data acquisition, and post-acquisition identification methods through straightforward evaluation of the glycan content of glycoproteomic data. Software and instructions are available at https://github.com/riley-research/GlyCounter.
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Affiliation(s)
- Kathryn Kothlow
- Department of Chemistry, University of Washington, Seattle, WA, 98195
| | - Haley M Schramm
- Department of Chemistry, University of Washington, Seattle, WA, 98195
| | - Kayla A Markuson
- Department of Chemistry, University of Washington, Seattle, WA, 98195
| | - Jacob H Russell
- Department of Chemistry, University of Washington, Seattle, WA, 98195
| | | | - Tim S Veth
- Department of Chemistry, University of Washington, Seattle, WA, 98195
| | - Ruby Zhang
- Department of Chemistry, University of Washington, Seattle, WA, 98195
| | - Anna G Duboff
- Department of Chemistry, University of Washington, Seattle, WA, 98195
| | - Vishnu R Tejus
- Department of Chemistry, University of Washington, Seattle, WA, 98195
| | - Leah E McDermott
- Department of Chemistry, University of Washington, Seattle, WA, 98195
| | - Laura S Dräger
- Department of Chemistry, University of Washington, Seattle, WA, 98195
| | - Nicholas M Riley
- Department of Chemistry, University of Washington, Seattle, WA, 98195
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3
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Bi M, Tian Z. Mass spectrometry-based structure-specific N-glycoproteomics and biomedical applications. Acta Biochim Biophys Sin (Shanghai) 2024; 56:1172-1183. [PMID: 39118567 PMCID: PMC11464918 DOI: 10.3724/abbs.2024133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 07/18/2024] [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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Affiliation(s)
- Ming Bi
- />School of Chemical Science and EngineeringTongji UniversityShanghai200092China
| | - Zhixin Tian
- />School of Chemical Science and EngineeringTongji UniversityShanghai200092China
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4
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Haynes CA, Keppel TR, Mekonnen B, Osman SH, Zhou Y, Woolfitt AR, Baudys J, Barr JR, Wang D. Inclusion of deuterated glycopeptides provides increased sequence coverage in hydrogen/deuterium exchange mass spectrometry analysis of SARS-CoV-2 spike glycoprotein. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2024; 38:e9690. [PMID: 38355883 PMCID: PMC10871554 DOI: 10.1002/rcm.9690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/28/2023] [Accepted: 12/03/2023] [Indexed: 02/16/2024]
Abstract
RATIONALE Hydrogen/deuterium exchange mass spectrometry (HDX-MS) can provide precise analysis of a protein's conformational dynamics across varied states, such as heat-denatured versus native protein structures, localizing regions that are specifically affected by such conditional changes. Maximizing protein sequence coverage provides high confidence that regions of interest were located by HDX-MS, but one challenge for complete sequence coverage is N-glycosylation sites. The deuteration of peptides post-translationally modified by asparagine-bound glycans (glycopeptides) has not always been identified in previous reports of HDX-MS analyses, causing significant sequence coverage gaps in heavily glycosylated proteins and uncertainty in structural dynamics in many regions throughout a glycoprotein. METHODS We detected deuterated glycopeptides with a Tribrid Orbitrap Eclipse mass spectrometer performing data-dependent acquisition. An MS scan was used to identify precursor ions; if high-energy collision-induced dissociation MS/MS of the precursor indicated oxonium ions diagnostic for complex glycans, then electron transfer low-energy collision-induced dissociation MS/MS scans of the precursor identified the modified asparagine residue and the glycan's mass. As in traditional HDX-MS, the identified glycopeptides were then analyzed at the MS level in samples labeled with D2 O. RESULTS We report HDX-MS analysis of the SARS-CoV-2 spike protein ectodomain in its trimeric prefusion form, which has 22 predicted N-glycosylation sites per monomer, with and without heat treatment. We identified glycopeptides and calculated their average isotopic mass shifts from deuteration. Inclusion of the deuterated glycopeptides increased sequence coverage of spike ectodomain from 76% to 84%, demonstrated that glycopeptides had been deuterated, and improved confidence in results localizing structural rearrangements. CONCLUSION Inclusion of deuterated glycopeptides improves the analysis of the conformational dynamics of glycoproteins such as viral surface antigens and cellular receptors.
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Affiliation(s)
- Christopher A Haynes
- Structure Laboratory, Clinical Chemistry Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Theodore R Keppel
- Structure Laboratory, Clinical Chemistry Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Betlehem Mekonnen
- Structure Laboratory, Clinical Chemistry Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sarah H Osman
- Structure Laboratory, Clinical Chemistry Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Yu Zhou
- Structure Laboratory, Clinical Chemistry Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Adrian R Woolfitt
- Structure Laboratory, Clinical Chemistry Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jakub Baudys
- Structure Laboratory, Clinical Chemistry Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - John R Barr
- Structure Laboratory, Clinical Chemistry Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Dongxia Wang
- Structure Laboratory, Clinical Chemistry Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Joshi N, Garapati K, Ghose V, Kandasamy RK, Pandey A. Recent progress in mass spectrometry-based urinary proteomics. Clin Proteomics 2024; 21:14. [PMID: 38389064 PMCID: PMC10885485 DOI: 10.1186/s12014-024-09462-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 02/12/2024] [Indexed: 02/24/2024] Open
Abstract
Serum or plasma is frequently utilized in biomedical research; however, its application is impeded by the requirement for invasive sample collection. The non-invasive nature of urine collection makes it an attractive alternative for disease characterization and biomarker discovery. Mass spectrometry-based protein profiling of urine has led to the discovery of several disease-associated biomarkers. Proteomic analysis of urine has not only been applied to disorders of the kidney and urinary bladder but also to conditions affecting distant organs because proteins excreted in the urine originate from multiple organs. This review provides a progress update on urinary proteomics carried out over the past decade. Studies summarized in this review have expanded the catalog of proteins detected in the urine in a variety of clinical conditions. The wide range of applications of urine analysis-from characterizing diseases to discovering predictive, diagnostic and prognostic markers-continues to drive investigations of the urinary proteome.
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Affiliation(s)
- Neha Joshi
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Kishore Garapati
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Vivek Ghose
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
| | - Richard K Kandasamy
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Akhilesh Pandey
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
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6
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Garcia-Marques F, Fuller K, Bermudez A, Shamsher N, Zhao H, Brooks JD, Flory MR, Pitteri SJ. Identification and characterization of intact glycopeptides in human urine. Sci Rep 2024; 14:3716. [PMID: 38355753 PMCID: PMC10866872 DOI: 10.1038/s41598-024-53299-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 01/30/2024] [Indexed: 02/16/2024] Open
Abstract
Glycoproteins in urine have the potential to provide a rich class of informative molecules for studying human health and disease. Despite this promise, the urine glycoproteome has been largely uncharacterized. Here, we present the analysis of glycoproteins in human urine using LC-MS/MS-based intact glycopeptide analysis, providing both the identification of protein glycosites and characterization of the glycan composition at specific glycosites. Gene enrichment analysis reveals differences in biological processes, cellular components, and molecular functions in the urine glycoproteome versus the urine proteome, as well as differences based on the major glycan class observed on proteins. Meta-heterogeneity of glycosylation is examined on proteins to determine the variation in glycosylation across multiple sites of a given protein with specific examples of individual sites differing from the glycosylation trends in the overall protein. Taken together, this dataset represents a potentially valuable resource as a baseline characterization of glycoproteins in human urine for future urine glycoproteomics studies.
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Affiliation(s)
- Fernando Garcia-Marques
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA
| | - Keely Fuller
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA
| | - Abel Bermudez
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA
| | - Nikhiya Shamsher
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA
| | - Hongjuan Zhao
- Department of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - James D Brooks
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA
- Department of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Mark R Flory
- Cancer Early Detection Advanced Research (CEDAR) Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, 97239-3098, USA
| | - Sharon J Pitteri
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA.
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7
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Chau TH, Chernykh A, Kawahara R, Thaysen-Andersen M. Critical considerations in N-glycoproteomics. Curr Opin Chem Biol 2023; 73:102272. [PMID: 36758418 DOI: 10.1016/j.cbpa.2023.102272] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/30/2022] [Accepted: 01/05/2023] [Indexed: 02/10/2023]
Abstract
N-Glycoproteomics, the system-wide study of glycans asparagine-linked to protein carriers, holds a unique and still largely untapped potential to provide deep insights into the complexity and dynamics of the heterogeneous N-glycoproteome. Despite the advent of innovative analytical and informatics tools aiding the analysis, N-glycoproteomics remains challenging and consequently largely restricted to specialised laboratories. Aiming to stimulate discussions of method harmonisation, data standardisation and reporting guidelines to make N-glycoproteomics more reproducible and accessible to the community, we here discuss critical considerations related to the design and execution of N-glycoproteomics experiments and highlight good practices in N-glycopeptide data collection, analysis, interpretation and sharing. Giving the rapid maturation and, expectedly, a wide-spread implementation of N-glycoproteomics capabilities across the community in future years, this piece aims to point out common pitfalls, to encourage good data sharing and documentation practices, and to highlight practical solutions and strategies to enhance the insight into the N-glycoproteome.
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Affiliation(s)
- The Huong Chau
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, Australia; Biomolecular Discovery Research Centre, Macquarie University, Sydney, Australia
| | - Anastasia Chernykh
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, Australia; Biomolecular Discovery Research Centre, Macquarie University, Sydney, Australia
| | - Rebeca Kawahara
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, Australia; Biomolecular Discovery Research Centre, Macquarie University, Sydney, Australia
| | - Morten Thaysen-Andersen
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, Australia; Biomolecular Discovery Research Centre, Macquarie University, Sydney, Australia; Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan.
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8
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Feng Q, Xie Z, Liang H, Zhang Z, Yan Y, Ding CF. Hydrophilic, dual amino acid-functionalized zinc sulfide quantum dot for specific identification of N-glycopeptides from biological samples. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2022; 36:e9405. [PMID: 36166354 DOI: 10.1002/rcm.9405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/07/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
RATIONALE Glycosylation of proteins is one of the most significant and complex post-translational modifications, and N-glycosylation plays a crucial role in life activities. Mass spectrometry (MS) has been a powerful technique in the analysis of protein glycosylation. However, the direct detection of glycoproteins in biological samples based on MS still suffers from huge challenges. Therefore, enrichment and purification of samples before MS analysis is an essential prerequisite. METHODS Hydrophilic interaction liquid chromatography (HILIC) has significantly developed for selective enrichment of glycopeptides due to its simple operation process and unbiased enrichment. Herein, hydrophilic, dual amino acid-functionalized zinc sulfide quantum dots (ZnS QDs) were prepared to enrich glycopeptides using an easy procedure. The enriched glycopeptides were detected using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). RESULTS The obtained material exhibited high selectivity (1:2000), low detection limit (0.1 fmol/μl), good repeatability (10 times), and excellent recovery (89.8%) in glycopeptide enrichment. In the actual application in biological samples, 71 N-glycopeptides and 161 N-glycopeptides were detected from human saliva and serum, respectively. CONCLUSIONS ZnS-Au-GC was successfully prepared using an easy method. The results showed that the obtained material exhibited excellent performance in glycopeptide enrichment. Furthermore, it had showed great potential for glycopeptide enrichment in complex biological samples.
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Affiliation(s)
- Quanshou Feng
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, School of Materials Science and Chemical Engineering, Institute of Mass Spectrometry, Ningbo University, Ningbo, China
| | - Zehu Xie
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, School of Materials Science and Chemical Engineering, Institute of Mass Spectrometry, Ningbo University, Ningbo, China
| | - Hongze Liang
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, School of Materials Science and Chemical Engineering, Institute of Mass Spectrometry, Ningbo University, Ningbo, China
| | - Zhenbin Zhang
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, China
| | - Yinghua Yan
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, School of Materials Science and Chemical Engineering, Institute of Mass Spectrometry, Ningbo University, Ningbo, China
| | - Chuan-Fan Ding
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, School of Materials Science and Chemical Engineering, Institute of Mass Spectrometry, Ningbo University, Ningbo, China
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9
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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: 15] [Impact Index Per Article: 5.0] [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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10
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Qin S, Qin S, Tian Z. Comprehensive site- and structure-specific characterization of N-glycosylation in model plant Arabidopsis using mass-spectrometry-based N-glycoproteomics. J Chromatogr B Analyt Technol Biomed Life Sci 2022; 1198:123234. [DOI: 10.1016/j.jchromb.2022.123234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 03/12/2022] [Accepted: 03/28/2022] [Indexed: 02/05/2023]
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11
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Bi M, Bai B, Tian Z. Structure-Specific N-Glycoproteomics Characterization of NIST Monoclonal Antibody Reference Material 8671. J Proteome Res 2022; 21:1276-1284. [PMID: 35349291 DOI: 10.1021/acs.jproteome.2c00027] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Ming Bi
- School of Chemical Science & Engineering, Tongji University, Shanghai 200092, China
| | - Bing Bai
- Department of Laboratory Medicine, Center of Precision Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008, China
| | - Zhixin Tian
- School of Chemical Science & Engineering, Tongji University, Shanghai 200092, China
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12
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Fang P, Ji Y, Oellerich T, Urlaub H, Pan KT. Strategies for Proteome-Wide Quantification of Glycosylation Macro- and Micro-Heterogeneity. Int J Mol Sci 2022; 23:ijms23031609. [PMID: 35163546 PMCID: PMC8835892 DOI: 10.3390/ijms23031609] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/26/2022] [Accepted: 01/27/2022] [Indexed: 12/03/2022] Open
Abstract
Protein glycosylation governs key physiological and pathological processes in human cells. Aberrant glycosylation is thus closely associated with disease progression. Mass spectrometry (MS)-based glycoproteomics has emerged as an indispensable tool for investigating glycosylation changes in biological samples with high sensitivity. Following rapid improvements in methodologies for reliable intact glycopeptide identification, site-specific quantification of glycopeptide macro- and micro-heterogeneity at the proteome scale has become an urgent need for exploring glycosylation regulations. Here, we summarize recent advances in N- and O-linked glycoproteomic quantification strategies and discuss their limitations. We further describe a strategy to propagate MS data for multilayered glycopeptide quantification, enabling a more comprehensive examination of global and site-specific glycosylation changes. Altogether, we show how quantitative glycoproteomics methods explore glycosylation regulation in human diseases and promote the discovery of biomarkers and therapeutic targets.
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Affiliation(s)
- Pan Fang
- Department of Biochemistry and Molecular Biology, School of Biology & Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China;
| | - Yanlong Ji
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, 37077 Göttingen, Germany;
- Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, 60590 Frankfurt am Main, Germany;
- Frankfurt Cancer Institute, Johann Wolfgang Goethe University, 60596 Frankfurt am Main, Germany
| | - Thomas Oellerich
- Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, 60590 Frankfurt am Main, Germany;
- Frankfurt Cancer Institute, Johann Wolfgang Goethe University, 60596 Frankfurt am Main, Germany
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Henning Urlaub
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, 37077 Göttingen, Germany;
- Institute of Clinical Chemistry, University Medical Center Göttingen, 37075 Göttingen, Germany
- Correspondence: (H.U.); (K.-T.P.)
| | - Kuan-Ting Pan
- Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, 60590 Frankfurt am Main, Germany;
- Frankfurt Cancer Institute, Johann Wolfgang Goethe University, 60596 Frankfurt am Main, Germany
- Correspondence: (H.U.); (K.-T.P.)
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13
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Gong Y, Qin S, Dai L, Tian Z. The glycosylation in SARS-CoV-2 and its receptor ACE2. Signal Transduct Target Ther 2021; 6:396. [PMID: 34782609 PMCID: PMC8591162 DOI: 10.1038/s41392-021-00809-8] [Citation(s) in RCA: 137] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 10/10/2021] [Accepted: 10/24/2021] [Indexed: 02/05/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19), a highly infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected more than 235 million individuals and led to more than 4.8 million deaths worldwide as of October 5 2021. Cryo-electron microscopy and topology show that the SARS-CoV-2 genome encodes lots of highly glycosylated proteins, such as spike (S), envelope (E), membrane (M), and ORF3a proteins, which are responsible for host recognition, penetration, binding, recycling and pathogenesis. Here we reviewed the detections, substrates, biological functions of the glycosylation in SARS-CoV-2 proteins as well as the human receptor ACE2, and also summarized the approved and undergoing SARS-CoV-2 therapeutics associated with glycosylation. This review may not only broad the understanding of viral glycobiology, but also provide key clues for the development of new preventive and therapeutic methodologies against SARS-CoV-2 and its variants.
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Affiliation(s)
- Yanqiu Gong
- National Clinical Research Center for Geriatrics and Department of General Practice, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy, 610041, Chengdu, China
| | - Suideng Qin
- School of Chemical Science & Engineering, Shanghai Key Laboratory of Chemical Assessment and Sustainability, Tongji University, 200092, Shanghai, China
| | - Lunzhi Dai
- National Clinical Research Center for Geriatrics and Department of General Practice, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy, 610041, Chengdu, China.
| | - Zhixin Tian
- School of Chemical Science & Engineering, Shanghai Key Laboratory of Chemical Assessment and Sustainability, Tongji University, 200092, Shanghai, China.
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Towards structure-focused glycoproteomics. Biochem Soc Trans 2021; 49:161-186. [PMID: 33439247 PMCID: PMC7925015 DOI: 10.1042/bst20200222] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 12/07/2020] [Accepted: 12/11/2020] [Indexed: 02/06/2023]
Abstract
Facilitated by advances in the separation sciences, mass spectrometry and informatics, glycoproteomics, the analysis of intact glycopeptides at scale, has recently matured enabling new insights into the complex glycoproteome. While diverse quantitative glycoproteomics strategies capable of mapping monosaccharide compositions of N- and O-linked glycans to discrete sites of proteins within complex biological mixtures with considerable sensitivity, quantitative accuracy and coverage have become available, developments supporting the advancement of structure-focused glycoproteomics, a recognised frontier in the field, have emerged. Technologies capable of providing site-specific information of the glycan fine structures in a glycoproteome-wide context are indeed necessary to address many pending questions in glycobiology. In this review, we firstly survey the latest glycoproteomics studies published in 2018–2020, their approaches and their findings, and then summarise important technological innovations in structure-focused glycoproteomics. Our review illustrates that while the O-glycoproteome remains comparably under-explored despite the emergence of new O-glycan-selective mucinases and other innovative tools aiding O-glycoproteome profiling, quantitative glycoproteomics is increasingly used to profile the N-glycoproteome to tackle diverse biological questions. Excitingly, new strategies compatible with structure-focused glycoproteomics including novel chemoenzymatic labelling, enrichment, separation, and mass spectrometry-based detection methods are rapidly emerging revealing glycan fine structural details including bisecting GlcNAcylation, core and antenna fucosylation, and sialyl-linkage information with protein site resolution. Glycoproteomics has clearly become a mainstay within the glycosciences that continues to reach a broader community. It transpires that structure-focused glycoproteomics holds a considerable potential to aid our understanding of systems glycobiology and unlock secrets of the glycoproteome in the immediate future.
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