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Bi M, Tian Z. Mass spectrometry-based structure-specific N-glycoproteomics and biomedical applications. Acta Biochim Biophys Sin (Shanghai) 2024. [PMID: 39118567 DOI: 10.3724/abbs.2024133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2024] Open
Abstract
N-linked glycosylation is a common posttranslational modification of proteins that results in macroheterogeneity of the modification site. However, unlike simpler modifications, N-glycosylation introduces an additional layer of complexity with tens of thousands of possible structures arising from various dimensions, including different monosaccharide compositions, sequence structures, linking structures, isomerism, and three-dimensional conformations. This results in additional microheterogeneity of the modification site of N-glycosylation, i.e., the same N-glycosylation site can be modified with different glycans with a certain stoichiometric ratio. N-glycosylation regulates the structure and function of N-glycoproteins in a site- and structure-specific manner, and differential expression of N-glycosylation under disease conditions needs to be characterized through site- and structure-specific quantitative analysis. Numerous advanced methods ranging from sample preparation to mass spectrum analysis have been developed to distinguish N-glycan structures. Chemical derivatization of monosaccharides, online liquid chromatography separation and ion mobility spectrometry enable the physical differentiation of samples. Tandem mass spectrometry further analyzes the macro/microheterogeneity of intact N-glycopeptides through the analysis of fragment ions. Moreover, the development of search engines and AI-based software has enhanced our understanding of the dissociation patterns of intact N-glycopeptides and the clinical significance of differentially expressed intact N-glycopeptides. With the help of these modern methods, structure-specific N-glycoproteomics has become an important tool with extensive applications in the biomedical field.
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2
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Hu X, Song J, Ye G, Zhu M, Lan J, Zeng L, Ke Z, Yuan J. Integrated serum proteomic and N-glycoproteomic characterization of dengue patients. J Med Virol 2024; 96:e29775. [PMID: 38949184 DOI: 10.1002/jmv.29775] [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: 03/06/2024] [Revised: 06/06/2024] [Accepted: 06/22/2024] [Indexed: 07/02/2024]
Abstract
Dengue fever is a mosquito-borne viral disease caused by the dengue virus (DENV). It poses a public health threat globally and, while most people with dengue have mild symptoms or are asymptomatic, approximately 5% of affected individuals develop severe disease and need hospital care. However, knowledge of the molecular mechanisms underlying dengue infection and the interaction between the virus and its host remains limited. In the present study, we performed a quantitative proteomic and N-glycoproteomic analysis of serum from 19 patients with dengue and 11 healthy people. The results revealed distinct proteomic and N-glycoproteomic landscapes between the two groups. Notably, we report for the first time the changes in the serum N glycosylation pattern following dengue infection and provide abundant information on glycoproteins, glycosylation sites, and intact N-glycopeptides using recently developed site-specific glycoproteomic approaches. Furthermore, a series of key functional pathways in proteomic and N-glycoproteomic were identified. Collectively, our findings significantly improve understanding of host and DENV interactions and the general pathogenesis and pathology of DENV, laying a foundation for functional studies of glycosylation and glycan structures in dengue infection.
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Affiliation(s)
- Xiao Hu
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Jiamin Song
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Guoguo Ye
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Miao Zhu
- Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Jianfeng Lan
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Lijiao Zeng
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Zhiyi Ke
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Jing Yuan
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
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3
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Cao W. Advancing mass spectrometry-based glycoproteomic software tools for comprehensive site-specific glycoproteome analysis. Curr Opin Chem Biol 2024; 80:102442. [PMID: 38460452 DOI: 10.1016/j.cbpa.2024.102442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 02/18/2024] [Accepted: 02/19/2024] [Indexed: 03/11/2024]
Abstract
Glycoproteome analysis at a site-specific level and proteome scale stands out as a highly promising approach for gaining insights into the intricate roles of glycans in biological systems. Recent years have witnessed an upsurge in the development of innovative methodologies tailored for precisely this purpose. Breakthroughs in mass spectrometry-based glycoproteomic techniques, enabling the identification, quantification, and systematic exploration of site-specific glycans, have significantly enhanced our capacity to comprehensively and thoroughly characterize glycoproteins. In this short review, we delve into novel tools in advancing site-specific glycoproteomic analysis and summarize pertinent studies published in the past two years. Lastly, we discuss the ongoing challenges and outline future prospects in the field, considering both the analytical strategies of mass spectrometry and the tools employed for data interpretation.
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Affiliation(s)
- Weiqian Cao
- Shanghai Fifth People's Hospital and Institutes of Biomedical Sciences, NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, 200433, China.
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4
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Nilsson J, Rimkute I, Sihlbom C, Tenge VR, Lin SC, Atmar RL, Estes MK, Larson G. N-glycoproteomic analyses of human intestinal enteroids, varying in histo-blood group geno- and phenotypes, reveal a wide repertoire of fucosylated glycoproteins. Glycobiology 2024; 34:cwae029. [PMID: 38590172 PMCID: PMC11041853 DOI: 10.1093/glycob/cwae029] [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: 11/03/2023] [Revised: 03/12/2024] [Accepted: 04/03/2024] [Indexed: 04/10/2024] Open
Abstract
Human noroviruses, globally the main cause of viral gastroenteritis, show strain specific affinity for histo-blood group antigens (HBGA) and can successfully be propagated ex vivo in human intestinal enteroids (HIEs). HIEs established from jejunal stem cells of individuals with different ABO, Lewis and secretor geno- and phenotypes, show varying susceptibility to such infections. Using bottom-up glycoproteomic approaches we have defined and compared the N-linked glycans of glycoproteins of seven jejunal HIEs. Membrane proteins were extracted, trypsin digested, and glycopeptides enriched by hydrophilic interaction liquid chromatography and analyzed by nanoLC-MS/MS. The Byonic software was used for glycopeptide identification followed by hands-on verifications and interpretations. Glycan structures and attachment sites were identified from MS2 spectra obtained by higher-energy collision dissociation through analysis of diagnostic saccharide oxonium ions (B-ions), stepwise glycosidic fragmentation of the glycans (Y-ions), and peptide sequence ions (b- and y-ions). Altogether 694 unique glycopeptides from 93 glycoproteins were identified. The N-glycans encompassed pauci- and oligomannose, hybrid- and complex-type structures. Notably, polyfucosylated HBGA-containing glycopeptides of the four glycoproteins tetraspanin-8, carcinoembryonic antigen-related cell adhesion molecule 5, sucrose-isomaltase and aminopeptidase N were especially prominent and were characterized in detail and related to donor ABO, Lewis and secretor types of each HIE. Virtually no sialylated N-glycans were identified for these glycoproteins suggesting that terminal sialylation was infrequent compared to fucosylation and HBGA biosynthesis. This approach gives unique site-specific information on the structural complexity of N-linked glycans of glycoproteins of human HIEs and provides a platform for future studies on the role of host glycoproteins in gastrointestinal infectious diseases.
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Affiliation(s)
- Jonas Nilsson
- Department of Laboratory Medicine, Institute of Biomedicine, University of Gothenburg, Sahlgrenska University Hospital, Bruna Stråket 16, SE 413 45, Gothenburg, Sweden
- Department of Clinical Chemistry, Region Västra Götaland, Sahlgrenska University Hospital, Bruna Stråket 16, SE 413 45, Gothenburg, Sweden
- Proteomics Core Facilities, Sahlgrenska Academy, University of Gothenburg, Medicinaregatan 9E, SE 413 90, Gothenburg, Sweden
| | - Inga Rimkute
- Department of Laboratory Medicine, Institute of Biomedicine, University of Gothenburg, Sahlgrenska University Hospital, Bruna Stråket 16, SE 413 45, Gothenburg, Sweden
- Department of Microbiology and Immunology, Institute of Biomedicine, University of Gothenburg, Medicinaregatan 7A, SE 413 90, Gothenburg, Sweden
| | - Carina Sihlbom
- Proteomics Core Facilities, Sahlgrenska Academy, University of Gothenburg, Medicinaregatan 9E, SE 413 90, Gothenburg, Sweden
| | - Victoria R Tenge
- Department of Molecular Virology, Baylor College School of Medicine, One Baylor Plaza, Houston, TX 770 30, United States
| | - Shih-Ching Lin
- Department of Molecular Virology, Baylor College School of Medicine, One Baylor Plaza, Houston, TX 770 30, United States
- Present address: Department of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Robert L Atmar
- Department of Molecular Virology, Baylor College School of Medicine, One Baylor Plaza, Houston, TX 770 30, United States
- Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX 770 30, United States
| | - Mary K Estes
- Department of Molecular Virology, Baylor College School of Medicine, One Baylor Plaza, Houston, TX 770 30, United States
- Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX 770 30, United States
| | - Göran Larson
- Department of Laboratory Medicine, Institute of Biomedicine, University of Gothenburg, Sahlgrenska University Hospital, Bruna Stråket 16, SE 413 45, Gothenburg, Sweden
- Department of Clinical Chemistry, Region Västra Götaland, Sahlgrenska University Hospital, Bruna Stråket 16, SE 413 45, Gothenburg, Sweden
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5
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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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6
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Hevér H, Xue A, Nagy K, Komka K, Vékey K, Drahos L, Révész Á. Can We Boost N-Glycopeptide Identification Confidence? Smart Collision Energy Choice Taking into Account Structure and Search Engine. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:333-343. [PMID: 38286027 PMCID: PMC10853973 DOI: 10.1021/jasms.3c00375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/22/2023] [Accepted: 01/04/2024] [Indexed: 01/31/2024]
Abstract
High confidence and reproducibility are still challenges in bottom-up mass spectrometric N-glycopeptide identification. The collision energy used in the MS/MS measurements and the database search engine used to identify the species are perhaps the two most decisive factors. We investigated how the structural features of N-glycopeptides and the choice of the search engine influence the optimal collision energy, delivering the highest identification confidence. We carried out LC-MS/MS measurements using a series of collision energies on a large set of N-glycopeptides with both the glycan and peptide part varied and studied the behavior of Byonic, pGlyco, and GlycoQuest scores. We found that search engines show a range of behavior between peptide-centric and glycan-centric, which manifests itself already in the dependence of optimal collision energy on m/z. Using classical statistical and machine learning methods, we revealed that peptide hydrophobicity, glycan and peptide masses, and the number of mobile protons also have significant and search-engine-dependent influence, as opposed to a series of other parameters we probed. We envisioned an MS/MS workflow making a smart collision energy choice based on online available features such as the hydrophobicity (described by retention time) and glycan mass (potentially available from a scout MS/MS). Our assessment suggests that this workflow can lead to a significant gain (up to 100%) in the identification confidence, particularly for low-scoring hits close to the filtering limit, which has the potential to enhance reproducibility of N-glycopeptide analyses. Data are available via MassIVE (MSV000093110).
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Affiliation(s)
- Helga Hevér
- MS
Proteomics Research Group, HUN-REN Research
Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary
| | - Andrea Xue
- MS
Proteomics Research Group, HUN-REN Research
Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary
| | - Kinga Nagy
- MS
Proteomics Research Group, HUN-REN Research
Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary
- Faculty
of Science, Institute of Chemistry, Hevesy György PhD School
of Chemistry, Eötvös Loránd
University, Pázmány
Péter sétány 1/A, Budapest H-1117, Hungary
| | - Kinga Komka
- Department
of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Budapest H-1111, Hungary
| | - Károly Vékey
- MS
Proteomics Research Group, HUN-REN Research
Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary
| | - László Drahos
- MS
Proteomics Research Group, HUN-REN Research
Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary
| | - Ágnes Révész
- MS
Proteomics Research Group, HUN-REN Research
Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary
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7
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Yuan X, Song J, Wang H, Zhang W, Liu Y, Su P, Yang Y. Dual-functionalized two-dimensional metal-organic framework composite with highly hydrophilicity for effective enrichment of glycopeptides. J Chromatogr B Analyt Technol Biomed Life Sci 2024; 1232:123920. [PMID: 38101285 DOI: 10.1016/j.jchromb.2023.123920] [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: 08/14/2023] [Revised: 10/25/2023] [Accepted: 10/31/2023] [Indexed: 12/17/2023]
Abstract
Protein glycosylation research is currently focused on the development of various functionalized materials that can effectively enrich the levels of glycopeptides in samples. However, most of these materials possess limited glycopeptide-specific recognition sites because of large steric hindrance, unsuitable mass transfer kinetics, and relatively low surface areas. Herein, a highly hydrophilic two-dimensional (2-D) metal-organic framework (MOF) nanosheet modified with glutathione (GSH) and l-cysteine (l-Cys) (denoted as Zr-Fc MOF@Au@GC) has been synthesized for efficient glycopeptide enrichment. Using this composite material, 39 and 44 glycopeptides from horseradish peroxidase (HRP) and human serum immunoglobulin G (IgG) digests were detected, respectively, which represents a higher efficiency for glycopeptide enrichment from model glycoprotein digests than has been previously reported. The material Zr-Fc MOF@Au@GC exhibited ultra-high sensitivity (0.1 fmol/µL), excellent selectivity (weight ratio of HRP tryptic digest to bovine serum albumin (BSA) tryptic digest = 1:2000), good binding capacity (200 mg/g), satisfactory reusability, and long-term storage capacity. In addition, 655 glycopeptides corresponding to 366 glycoproteins were identified from human serum samples. To the best of our knowledge, this is the largest number of glycoproteins detected in human serum samples to date. These results indicated that Zr-Fc MOF@Au@GC has the potential to be used for the enrichment of glycopeptides in biological samples and the analysis of protein glycosylation.
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Affiliation(s)
- Xiaoyu Yuan
- Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China
| | - Jiayi Song
- Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China
| | - Han Wang
- Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China
| | - Wenkang Zhang
- Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China
| | - Ying Liu
- Beijing National Laboratory for Molecular Sciences (BNLMS), Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Analytical Instrumentation Center, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Ping Su
- Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Yi Yang
- Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China.
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8
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Chernykh A, Abrahams JL, Grant OC, Kambanis L, Sumer-Bayraktar Z, Ugonotti J, Kawahara R, Corcilius L, Payne RJ, Woods RJ, Thaysen-Andersen M. Position-specific N- and O-glycosylation of the reactive center loop impacts neutrophil elastase-mediated proteolysis of corticosteroid-binding globulin. J Biol Chem 2024; 300:105519. [PMID: 38042488 PMCID: PMC10784704 DOI: 10.1016/j.jbc.2023.105519] [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: 03/21/2023] [Revised: 11/20/2023] [Accepted: 11/22/2023] [Indexed: 12/04/2023] Open
Abstract
Corticosteroid-binding globulin (CBG) delivers anti-inflammatory cortisol to inflamed tissues through proteolysis of an exposed reactive center loop (RCL) by neutrophil elastase (NE). We previously demonstrated that RCL-localized Asn347-linked N-glycans impact NE proteolysis, but a comprehensive structure-function characterization of the RCL glycosylation is still required to better understand CBG glycobiology. Herein, we first performed RCL-centric glycoprofiling of serum-derived CBG to elucidate the Asn347-glycans and then used molecular dynamics simulations to study their impact on NE proteolysis. Importantly, we also identified O-glycosylation (di/sialyl T) across four RCL sites (Thr338/Thr342/Thr345/Ser350) of serum CBG close to the NE-targeted Val344-Thr345 cleavage site. A restricted N- and O-glycan co-occurrence pattern on the RCL involving exclusively Asn347 and Thr338 glycosylation was experimentally observed and supported in silico by modeling of a CBG-GalNAc-transferase (GalNAc-T) complex with various RCL glycans. GalNAc-T2 and GalNAc-T3 abundantly expressed by liver and gall bladder, respectively, showed in vitro a capacity to transfer GalNAc (Tn) to multiple RCL sites suggesting their involvement in RCL O-glycosylation. Recombinant CBG was then used to determine roles of RCL O-glycosylation through longitudinal NE-centric proteolysis experiments, which demonstrated that both sialoglycans (disialyl T) and asialoglycans (T) decorating Thr345 inhibit NE proteolysis. Synthetic RCL O-glycopeptides expanded on these findings by showing that Thr345-Tn and Thr342-Tn confer strong and moderate protection against NE cleavage, respectively. Molecular dynamics substantiated that short Thr345-linked O-glycans abrogate NE interactions. In conclusion, we report on biologically relevant CBG RCL glycosylation events, which improve our understanding of mechanisms governing cortisol delivery to inflamed tissues.
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Affiliation(s)
- Anastasia Chernykh
- School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Jodie L Abrahams
- School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia; Glycosciences Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Oliver C Grant
- Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, USA
| | - Lucas Kambanis
- School of Chemistry, The University of Sydney, Sydney, New South Wales, Australia; Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Sydney, Sydney, New South Wales, Australia
| | - Zeynep Sumer-Bayraktar
- School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia; Glycometabolic Biochemistry Team, Cluster of Pioneering Research, RIKEN, Wako, Saitama, Japan
| | - Julian Ugonotti
- School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Rebeca Kawahara
- School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia; Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan
| | - Leo Corcilius
- School of Chemistry, The University of Sydney, Sydney, New South Wales, Australia; Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Sydney, Sydney, New South Wales, Australia
| | - Richard J Payne
- School of Chemistry, The University of Sydney, Sydney, New South Wales, Australia; Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Sydney, Sydney, New South Wales, Australia
| | - Robert J Woods
- Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, USA
| | - Morten Thaysen-Andersen
- School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia; Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan.
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9
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Sandau US, Magaña SM, Costa J, Nolan JP, Ikezu T, Vella LJ, Jackson HK, Moreira LR, Palacio PL, Hill AF, Quinn JF, Van Keuren‐Jensen KR, McFarland TJ, Palade J, Sribnick EA, Su H, Vekrellis K, Coyle B, Yang Y, Falcón‐Perez JM, Nieuwland R, Saugstad JA. Recommendations for reproducibility of cerebrospinal fluid extracellular vesicle studies. J Extracell Vesicles 2024; 13:e12397. [PMID: 38158550 PMCID: PMC10756860 DOI: 10.1002/jev2.12397] [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: 06/30/2023] [Revised: 11/09/2023] [Accepted: 11/21/2023] [Indexed: 01/03/2024] Open
Abstract
Cerebrospinal fluid (CSF) is a clear, transparent fluid derived from blood plasma that protects the brain and spinal cord against mechanical shock, provides buoyancy, clears metabolic waste and transports extracellular components to remote sites in the brain. Given its contact with the brain and the spinal cord, CSF is the most informative biofluid for studies of the central nervous system (CNS). In addition to other components, CSF contains extracellular vesicles (EVs) that carry bioactive cargoes (e.g., lipids, nucleic acids, proteins), and that can have biological functions within and beyond the CNS. Thus, CSF EVs likely serve as both mediators of and contributors to communication in the CNS. Accordingly, their potential as biomarkers for CNS diseases has stimulated much excitement for and attention to CSF EV research. However, studies on CSF EVs present unique challenges relative to EV studies in other biofluids, including the invasive nature of CSF collection, limited CSF volumes and the low numbers of EVs in CSF as compared to plasma. Here, the objectives of the International Society for Extracellular Vesicles CSF Task Force are to promote the reproducibility of CSF EV studies by providing current reporting and best practices, and recommendations and reporting guidelines, for CSF EV studies. To accomplish this, we created and distributed a world-wide survey to ISEV members to assess methods considered 'best practices' for CSF EVs, then performed a detailed literature review for CSF EV publications that was used to curate methods and resources. Based on responses to the survey and curated information from publications, the CSF Task Force herein provides recommendations and reporting guidelines to promote the reproducibility of CSF EV studies in seven domains: (i) CSF Collection, Processing, and Storage; (ii) CSF EV Separation/Concentration; (iii) CSF EV Size and Number Measurements; (iv) CSF EV Protein Studies; (v) CSF EV RNA Studies; (vi) CSF EV Omics Studies and (vii) CSF EV Functional Studies.
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Affiliation(s)
- Ursula S. Sandau
- Department of Anesthesiology & Perioperative MedicineOregon Health & Science UniversityPortlandOregonUSA
| | - Setty M. Magaña
- Center for Clinical and Translational Research, Abigail Wexner Research InstituteNationwide Children's HospitalColumbusOhioUSA
| | - Júlia Costa
- Instituto de Tecnologia Química e Biológica António XavierUniversidade Nova de Lisboa, Avenida da RepúblicaOeirasPortugal
| | - John P. Nolan
- Scintillon Institute for Biomedical and Bioenergy ResearchSan DiegoCaliforniaUSA
| | - Tsuneya Ikezu
- Department of NeuroscienceMayo Clinic FloridaJacksonvilleFloridaUSA
| | - Laura J. Vella
- Department of Surgery, The Royal Melbourne HospitalThe University of MelbourneParkvilleVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkville, MelbourneVictoriaAustralia
| | - Hannah K. Jackson
- Department of PathologyUniversity of CambridgeCambridgeUK
- Exosis, Inc.Palm BeachFloridaUSA
| | - Lissette Retana Moreira
- Department of Parasitology, Faculty of MicrobiologyUniversity of Costa RicaSan JoséCosta Rica, Central America
- Centro de Investigación en Enfermedades TropicalesUniversity of Costa RicaSan JoséCosta Rica, Central America
| | - Paola Loreto Palacio
- Center for Clinical and Translational Research, Abigail Wexner Research InstituteNationwide Children's HospitalColumbusOhioUSA
| | - Andrew F. Hill
- Institute for Health and SportVictoria UniversityMelbourneVictoriaAustralia
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular ScienceLa Trobe UniversityBundooraVictoriaAustralia
| | - Joseph F. Quinn
- Department of NeurologyOregon Health & Science UniversityPortlandOregonUSA
- Portland VA Medical CenterPortlandOregonUSA
| | | | - Trevor J. McFarland
- Department of Anesthesiology & Perioperative MedicineOregon Health & Science UniversityPortlandOregonUSA
| | - Joanna Palade
- Neurogenomics DivisionTranslational Genomics Research InstitutePhoenixArizonaUSA
| | - Eric A. Sribnick
- Department of NeurosurgeryNationwide Children's Hospital, The Ohio State UniversityColumbusOhioUSA
| | - Huaqi Su
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkville, MelbourneVictoriaAustralia
| | | | - Beth Coyle
- Children's Brain Tumour Research Centre, School of MedicineUniversity of Nottingham Biodiscovery Institute, University of NottinghamNottinghamNottinghamshireUK
| | - You Yang
- Scintillon Institute for Biomedical and Bioenergy ResearchSan DiegoCaliforniaUSA
| | - Juan M. Falcón‐Perez
- Exosomes Laboratory, Center for Cooperative Research in BiosciencesBasque Research and Technology AllianceDerioSpain
- Metabolomics Platform, Center for Cooperative Research in BiosciencesBasque Research and Technology AllianceDerioSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y DigestivasMadridSpain
- Ikerbasque, Basque Foundation for ScienceBilbaoSpain
| | - Rienk Nieuwland
- Laboratory of Experimental Clinical Chemistry, Amsterdam University Medical Centers, Location AMCUniversity of AmsterdamAmsterdamThe Netherlands
- Amsterdam Vesicle Center, Amsterdam University Medical Centers, Location AMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Julie A. Saugstad
- Department of Anesthesiology & Perioperative MedicineOregon Health & Science UniversityPortlandOregonUSA
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10
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Luo M, Su T, Cheng Q, Zhang X, Cai F, Yin Z, Li F, Yang H, Liu F, Zhang Y. GlycoTCFM: Glycoproteomics Based on Two Complementary Fragmentation Methods Reveals Distinctive O-Glycosylation in Human Sperm and Seminal Plasma. J Proteome Res 2023; 22:3833-3842. [PMID: 37943980 DOI: 10.1021/acs.jproteome.3c00489] [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] [Indexed: 11/12/2023]
Abstract
Human semen, consisting of spermatozoa (sperm) and seminal plasma, represents a special clinical sample type in human body fluid. Protein glycosylation in sperm and seminal plasma plays key roles in spermatogenesis, maturation, capacitation, sperm-egg recognition, motility of sperm, and fertilization. In this study, we profiled the most comprehensive O-glycoproteome map of human sperm and seminal plasma using our recently presented Glycoproteomics based on Two Complementary Fragmentation Methods (GlycoTCFM). We showed that sperm and seminal plasma contain many novel and distinctive O-glycoproteins, which are mostly located in the extracellular region (seminal plasma) and sperm membrane, enriched in the biological processes of cell adhesion and angiogenesis, and mainly involved in multiple biological functions including extracellular matrix structural constituents and binding. Based on GlycoTCFM, we created a comprehensive human sperm and seminal plasma O-glycoprotein database that contains 371 intact O-glycopeptides and 202 O-glycosites from 68 O-glycoproteins. Interestingly, 105 manually confirmed O-glycosites from 25 O-glycoproteins were reported for the first time, and they were mainly modified by core 1 O-glycans. We also found that three highly abundant, highly complex, and highly O-glycosylated proteins (semenogelin-1, semenogelin-2, and equatorin) may play important roles in sperm or seminal plasma composition and function. These data deepen our knowledge about O-glycosylation in sperm and seminal plasma and lay the foundation for the functional study of O-glycoproteins in male infertility.
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Affiliation(s)
- Mengqi Luo
- Department of Nephrology and Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Tao Su
- Department of Nephrology and Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Qingyuan Cheng
- Human Sperm Bank, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital of Sichuan University, Chengdu 610041, China
| | - Xue Zhang
- Department of Nephrology and Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Fei Cai
- Department of Nephrology and Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Zaiwen Yin
- Department of Nephrology and Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Fuping Li
- Human Sperm Bank, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital of Sichuan University, Chengdu 610041, China
| | - Hao Yang
- Department of Nephrology and Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Fang Liu
- Department of Nephrology and Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yong Zhang
- Department of Nephrology and Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
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11
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Goodson H, Kawahara R, Chatterjee S, Goncalves G, Fehring J, Purcell AW, Croft NP, Thaysen-Andersen M. Profound N-glycan remodelling accompanies MHC-II immunopeptide presentation. Front Immunol 2023; 14:1258518. [PMID: 38022636 PMCID: PMC10663315 DOI: 10.3389/fimmu.2023.1258518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Immunopeptidomics, the study of peptide antigens presented on the cell surface by the major histocompatibility complex (MHC), offers insights into how our immune system recognises self/non-self in health and disease. We recently discovered that hyper-processed (remodelled) N-glycans are dominant features decorating viral spike immunopeptides presented via MHC-class II (MHC-II) molecules by dendritic cells pulsed with SARS-CoV-2 spike protein, but it remains unknown if endogenous immunopeptides also undergo N-glycan remodelling. Taking a multi-omics approach, we here interrogate published MHC-II immunopeptidomics datasets of cultured monocyte-like (THP-1) and breast cancer-derived (MDA-MB-231) cell lines for overlooked N-glycosylated peptide antigens, which we compare to their source proteins in the cellular glycoproteome using proteomics and N-glycomics data from matching cell lines. Hyper-processed chitobiose core and paucimannosidic N-glycans alongside under-processed oligomannosidic N-glycans were found to prevalently modify MHC-II-bound immunopeptides isolated from both THP-1 and MDA-MB-231, while complex/hybrid-type N-glycans were (near-)absent in the immunopeptidome as supported further by new N-glycomics data generated from isolated MHC-II-bound peptides derived from MDA-MB-231 cells. Contrastingly, the cellular proteomics and N-glycomics data from both cell lines revealed conventional N-glycosylation rich in complex/hybrid-type N-glycans, which, together with the identification of key lysosomal glycosidases, suggest that MHC-II peptide antigen processing is accompanied by extensive N-glycan trimming. N-glycan remodelling appeared particularly dramatic for cell surface-located glycoproteins while less remodelling was observed for lysosomal-resident glycoproteins. Collectively, our findings indicate that both under- and hyper-processed N-glycans are prevalent features of endogenous MHC-II immunopeptides, an observation that demands further investigation to enable a better molecular-level understanding of immune surveillance.
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Affiliation(s)
- Hayley Goodson
- School of Natural Sciences, Macquarie University, Sydney, NSW, Australia
| | - Rebeca Kawahara
- School of Natural Sciences, Macquarie University, Sydney, NSW, Australia
- Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan
| | - Sayantani Chatterjee
- School of Natural Sciences, Macquarie University, Sydney, NSW, Australia
- Department of Biochemistry & Cell Biology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Gabriel Goncalves
- Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Joshua Fehring
- Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Anthony W. Purcell
- Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Nathan P. Croft
- Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Morten Thaysen-Andersen
- School of Natural Sciences, Macquarie University, Sydney, NSW, Australia
- Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan
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12
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Kuo CW, Chang NE, Yu PY, Yang TJ, Hsu STD, Khoo KH. An N-glycopeptide MS/MS data analysis workflow leveraging two complementary glycoproteomic software tools for more confident identification and assignments. Proteomics 2023; 23:e2300143. [PMID: 37271932 DOI: 10.1002/pmic.202300143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 05/18/2023] [Accepted: 05/22/2023] [Indexed: 06/06/2023]
Abstract
Complete coverage of all N-glycosylation sites on the SARS-CoV2 spike protein would require the use of multiple proteases in addition to trypsin. Subsequent identification of the resulting glycopeptides by searching against database often introduces assignment errors due to similar mass differences between different permutations of amino acids and glycosyl residues. By manually interpreting the individual MS2 spectra, we report here the common sources of errors in assignment, especially those introduced by the use of chymotrypsin. We show that by applying a stringent threshold of acceptance, erroneous assignment by the commonly used Byonic software can be controlled within 15%, which can be reduced further if only those also confidently identified by a different search engine, pGlyco3, were considered. A representative site-specific N-glycosylation pattern could be constructed based on quantifying only the overlapping subset of N-glycopeptides identified at higher confidence. Applying the two complimentary glycoproteomic software in a concerted data analysis workflow, we found and confirmed that glycosylation at several sites of an unstable Omicron spike protein differed significantly from those of the stable trimeric product of the parental D614G variant.
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Affiliation(s)
- Chu-Wei Kuo
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
| | - Ning-En Chang
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei, Taiwan
| | - Pei-Yu Yu
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
| | - Tzu-Jing Yang
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei, Taiwan
| | - Shang-Te Danny Hsu
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei, Taiwan
- International Institute for Sustainability with Knotted Chiral Meta Matter, Hiroshima University, Higashihiroshima, Japan
| | - Kay-Hooi Khoo
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei, Taiwan
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13
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Costa J, Hayes C, Lisacek F. Protein glycosylation and glycoinformatics for novel biomarker discovery in neurodegenerative diseases. Ageing Res Rev 2023; 89:101991. [PMID: 37348818 DOI: 10.1016/j.arr.2023.101991] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/25/2023] [Accepted: 06/18/2023] [Indexed: 06/24/2023]
Abstract
Glycosylation is a common post-translational modification of brain proteins including cell surface adhesion molecules, synaptic proteins, receptors and channels, as well as intracellular proteins, with implications in brain development and functions. Using advanced state-of-the-art glycomics and glycoproteomics technologies in conjunction with glycoinformatics resources, characteristic glycosylation profiles in brain tissues are increasingly reported in the literature and growing evidence shows deregulation of glycosylation in central nervous system disorders, including aging associated neurodegenerative diseases. Glycan signatures characteristic of brain tissue are also frequently described in cerebrospinal fluid due to its enrichment in brain-derived molecules. A detailed structural analysis of brain and cerebrospinal fluid glycans collected in publications in healthy and neurodegenerative conditions was undertaken and data was compiled to create a browsable dedicated set in the GlyConnect database of glycoproteins (https://glyconnect.expasy.org/brain). The shared molecular composition of cerebrospinal fluid with brain enhances the likelihood of novel glycobiomarker discovery for neurodegeneration, which may aid in unveiling disease mechanisms, therefore, providing with novel therapeutic targets as well as diagnostic and progression monitoring tools.
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Affiliation(s)
- Júlia Costa
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157 Oeiras, Portugal.
| | - Catherine Hayes
- Proteome Informatics Group, Swiss Institute of Bioinformatics, CH-1227 Geneva, Switzerland
| | - Frédérique Lisacek
- Proteome Informatics Group, Swiss Institute of Bioinformatics, CH-1227 Geneva, Switzerland; Computer Science Department, University of Geneva, CH-1227 Geneva, Switzerland; Section of Biology, University of Geneva, CH-1211 Geneva, Switzerland
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14
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Carnielli CM, Melo de Lima Morais T, Malta de Sá Patroni F, Prado Ribeiro AC, Brandão TB, Sobroza E, Matos LL, Kowalski LP, Paes Leme AF, Kawahara R, Thaysen-Andersen M. Comprehensive glycoprofiling of oral tumours associates N-glycosylation with lymph node metastasis and patient survival. Mol Cell Proteomics 2023:100586. [PMID: 37268159 PMCID: PMC10336694 DOI: 10.1016/j.mcpro.2023.100586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/08/2023] [Accepted: 05/30/2023] [Indexed: 06/04/2023] Open
Abstract
While altered protein glycosylation is regarded a trait of oral squamous cell carcinoma (OSCC), the heterogeneous and dynamic glycoproteome of tumour tissues from OSCC patients remain unmapped. To this end, we here employ an integrated multi-omics approach comprising unbiased and quantitative glycomics and glycoproteomics applied to a cohort of resected primary tumour tissues from OSCC patients with (n = 19) and without (n = 12) lymph node metastasis. While all tumour tissues displayed relatively uniform N-glycome profiles suggesting overall stable global N-glycosylation during disease progression, altered expression of six sialylated N-glycans was found to correlate with lymph node metastasis. Notably, glycoproteomics and advanced statistical analyses uncovered altered site-specific N-glycosylation revealing previously unknown associations with several clinicopathological features. Importantly, the glycomics and glycoproteomics data unveiled that comparatively high abundance of two core-fucosylated and sialylated N-glycans (Glycan 40a and Glycan 46a) and one N-glycopeptide from fibronectin were associated with low patient survival, while a relatively low abundance of N-glycopeptides from both afamin and CD59 were also associated with poor survival. This study provides novel insight into the complex OSCC tissue N-glycoproteome forming an important resource to further explore the underpinning disease mechanisms and uncover new prognostic glyco-markers for OSCC.
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Affiliation(s)
- Carolina Moretto Carnielli
- Laboratório de Espectrometria de Massas, Laboratório Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, 13083-970 SP, Brazil
| | | | | | - Ana Carolina Prado Ribeiro
- Serviço de Odontologia Oncológica, Instituto do Câncer do Estado de São Paulo, ICESP-FMUSP, São Paulo, 01246-000 SP, Brazil; Universidade Brasil, Fernandópolis, 15600-000 SP, Brazil
| | - Thaís Bianca Brandão
- Serviço de Odontologia Oncológica, Instituto do Câncer do Estado de São Paulo, ICESP-FMUSP, São Paulo, 01246-000 SP, Brazil
| | - Evandro Sobroza
- Serviço de Odontologia Oncológica, Instituto do Câncer do Estado de São Paulo, ICESP-FMUSP, São Paulo, 01246-000 SP, Brazil
| | - Leandro Luongo Matos
- Serviço de Cirurgia de Cabeça e Pescoço, Instituto do Câncer do Estado de São Paulo, ICESP-FMUSP, São Paulo, 01246-000 SP, Brazil
| | - Luiz Paulo Kowalski
- Departamento de Cirurgia de Cabeça e Pescoço e Otorrinolaringologia, A.C. Camargo Cancer Center, São Paulo, SP, 01509-900, Brazil; Departamento de Cirurgia de Cabeça e Pescoço, Faculdade de Medicina, Universidade de São Paulo - USP, São Paulo, SP, 01246-903, Brazil
| | - Adriana Franco Paes Leme
- Laboratório de Espectrometria de Massas, Laboratório Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, 13083-970 SP, Brazil.
| | - Rebeca Kawahara
- School of Natural Sciences, Macquarie University, Sydney, NSW-2109, Australia; Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, 464-8601, Japan.
| | - Morten Thaysen-Andersen
- School of Natural Sciences, Macquarie University, Sydney, NSW-2109, Australia; Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, 464-8601, Japan.
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15
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Zhang Y, Zeng W, Zhao Y, Yang H. Editorial: New methods, techniques and applications in clinical glycoproteomics. Front Mol Biosci 2023; 10:1170818. [PMID: 36936985 PMCID: PMC10020584 DOI: 10.3389/fmolb.2023.1170818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Affiliation(s)
- Yong Zhang
- NHC Key Lab of Transplant Engineering and Immunology, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Wenjuan Zeng
- NHC Key Lab of Transplant Engineering and Immunology, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Yang Zhao
- Mass Spectrometry Engineering Technology Research Center, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, China
| | - Hao Yang
- NHC Key Lab of Transplant Engineering and Immunology, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
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