1
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Xu T, Wang Q, Wang Q, Sun L. Mass spectrometry-intensive top-down proteomics: an update on technology advancements and biomedical applications. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:4664-4682. [PMID: 38973469 PMCID: PMC11257149 DOI: 10.1039/d4ay00651h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 06/25/2024] [Indexed: 07/09/2024]
Abstract
Proteoforms are all forms of protein molecules from the same gene because of variations at the DNA, RNA, and protein levels, e.g., alternative splicing and post-translational modifications (PTMs). Delineation of proteins in a proteoform-specific manner is crucial for understanding their biological functions. Mass spectrometry (MS)-intensive top-down proteomics (TDP) is promising for comprehensively characterizing intact proteoforms in complex biological systems. It has achieved substantial progress in technological development, including sample preparation, proteoform separations, MS instrumentation, and bioinformatics tools. In a single TDP study, thousands of proteoforms can be identified and quantified from a cell lysate. It has also been applied to various biomedical research to better our understanding of protein function in regulating cellular processes and to discover novel proteoform biomarkers of diseases for early diagnosis and therapeutic development. This review covers the most recent technological development and biomedical applications of MS-intensive TDP.
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Affiliation(s)
- Tian Xu
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA.
| | - Qianjie Wang
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA.
| | - Qianyi Wang
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA.
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA.
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2
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Roberts DS, Loo JA, Tsybin YO, Liu X, Wu S, Chamot-Rooke J, Agar JN, Paša-Tolić L, Smith LM, Ge Y. Top-down proteomics. NATURE REVIEWS. METHODS PRIMERS 2024; 4:38. [PMID: 39006170 PMCID: PMC11242913 DOI: 10.1038/s43586-024-00318-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/24/2024] [Indexed: 07/16/2024]
Abstract
Proteoforms, which arise from post-translational modifications, genetic polymorphisms and RNA splice variants, play a pivotal role as drivers in biology. Understanding proteoforms is essential to unravel the intricacies of biological systems and bridge the gap between genotypes and phenotypes. By analysing whole proteins without digestion, top-down proteomics (TDP) provides a holistic view of the proteome and can decipher protein function, uncover disease mechanisms and advance precision medicine. This Primer explores TDP, including the underlying principles, recent advances and an outlook on the future. The experimental section discusses instrumentation, sample preparation, intact protein separation, tandem mass spectrometry techniques and data collection. The results section looks at how to decipher raw data, visualize intact protein spectra and unravel data analysis. Additionally, proteoform identification, characterization and quantification are summarized, alongside approaches for statistical analysis. Various applications are described, including the human proteoform project and biomedical, biopharmaceutical and clinical sciences. These are complemented by discussions on measurement reproducibility, limitations and a forward-looking perspective that outlines areas where the field can advance, including potential future applications.
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Affiliation(s)
- David S Roberts
- Department of Chemistry, Stanford University, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Joseph A Loo
- Department of Chemistry and Biochemistry, Department of Biological Chemistry, University of California - Los Angeles, Los Angeles, CA, USA
| | | | - Xiaowen Liu
- Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, USA
| | - Si Wu
- Department of Chemistry and Biochemistry, The University of Alabama, Tuscaloosa, AL, USA
| | | | - Jeffrey N Agar
- Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, MA, USA
| | - Ljiljana Paša-Tolić
- Environmental and Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Lloyd M Smith
- Department of Chemistry, University of Wisconsin, Madison, WI, USA
| | - Ying Ge
- Department of Chemistry, University of Wisconsin, Madison, WI, USA
- Department of Cell and Regenerative Biology, Human Proteomics Program, University of Wisconsin - Madison, Madison, WI, USA
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3
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Wang S, Ran W, Sun L, Fan Q, Zhao Y, Wang B, Yang J, He Y, Wu Y, Wang Y, Chen L, Chuchuay A, You Y, Zhu X, Wang X, Chen Y, Wang Y, Chen YQ, Yuan Y, Zhao J, Mao Y. Sequential glycosylations at the multibasic cleavage site of SARS-CoV-2 spike protein regulate viral activity. Nat Commun 2024; 15:4162. [PMID: 38755139 PMCID: PMC11099032 DOI: 10.1038/s41467-024-48503-x] [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: 05/18/2023] [Accepted: 04/30/2024] [Indexed: 05/18/2024] Open
Abstract
The multibasic furin cleavage site at the S1/S2 boundary of the spike protein is a hallmark of SARS-CoV-2 and plays a crucial role in viral infection. However, the mechanism underlying furin activation and its regulation remain poorly understood. Here, we show that GalNAc-T3 and T7 jointly initiate clustered O-glycosylations in the furin cleavage site of the SARS-CoV-2 spike protein, which inhibit furin processing, suppress the incorporation of the spike protein into virus-like-particles and affect viral infection. Mechanistic analysis reveals that the assembly of the spike protein into virus-like particles relies on interactions between the furin-cleaved spike protein and the membrane protein of SARS-CoV-2, suggesting a possible mechanism for furin activation. Interestingly, mutations in the spike protein of the alpha and delta variants of the virus confer resistance against glycosylation by GalNAc-T3 and T7. In the omicron variant, additional mutations reverse this resistance, making the spike protein susceptible to glycosylation in vitro and sensitive to GalNAc-T3 and T7 expression in human lung cells. Our findings highlight the role of glycosylation as a defense mechanism employed by host cells against SARS-CoV-2 and shed light on the evolutionary interplay between the host and the virus.
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Affiliation(s)
- Shengjun Wang
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
- School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao, China
| | - Wei Ran
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lingyu Sun
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Qingchi Fan
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Yuanqi Zhao
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
- Foshan Institute for Food and Drug Control, Foshan, China
| | - Bowen Wang
- College of Life Science, Northwest University, Xi'an, China
| | - Jinghong Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuqi He
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ying Wu
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Yuanyuan Wang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Luoyi Chen
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Arpaporn Chuchuay
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Yuyu You
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xinhai Zhu
- Instrumental Analysis & Research Center, Sun Yat-sen University, Guangzhou, China
| | - Xiaojuan Wang
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ye Chen
- Key Laboratory of Fujian-Taiwan Animal Pathogen Biology, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yanqun Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yao-Qing Chen
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Yanqiu Yuan
- State Key Laboratory of Anti-Infective Drug Discovery and Development, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
- Institute of Infectious Disease, Guangzhou Eighth People's Hospital of Guangzhou Medical University, Guangzhou, China.
- Guangzhou Laboratory, Bio-island, Guangzhou, China.
- The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
- Shanghai Institute for Advanced Immunochemical Studies, School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, Shenzhen, China.
| | - Yang Mao
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Drug Non-Clinical Evaluation and Research, Guangzhou, China.
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4
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Ming A, Zhao J, Liu Y, Wang Y, Wang X, Li J, Zhang L. O-glycosylation in viruses: A sweet tango. MLIFE 2024; 3:57-73. [PMID: 38827513 PMCID: PMC11139210 DOI: 10.1002/mlf2.12105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/26/2023] [Accepted: 11/07/2023] [Indexed: 06/04/2024]
Abstract
O-glycosylation is an ancient yet underappreciated protein posttranslational modification, on which many bacteria and viruses heavily rely to perform critical biological functions involved in numerous infectious diseases or even cancer. But due to the innate complexity of O-glycosylation, research techniques have been limited to study its exact role in viral attachment and entry, assembly and exit, spreading in the host cells, and the innate and adaptive immunity of the host. Recently, the advent of many newly developed methodologies (e.g., mass spectrometry, chemical biology tools, and molecular dynamics simulations) has renewed and rekindled the interest in viral-related O-glycosylation in both viral proteins and host cells, which is further fueled by the COVID-19 pandemic. In this review, we summarize recent advances in viral-related O-glycosylation, with a particular emphasis on the mucin-type O-linked α-N-acetylgalactosamine (O-GalNAc) on viral proteins and the intracellular O-linked β-N-acetylglucosamine (O-GlcNAc) modifications on host proteins. We hope to provide valuable insights into the development of antiviral reagents or vaccines for better prevention or treatment of infectious diseases.
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Affiliation(s)
- Annan Ming
- Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
- Medical Science and Technology Innovation CenterShandong First Medical University & Shandong Academy of Medical SciencesJinanChina
| | - Jianxin Zhao
- Beijing Key Laboratory of DNA Damage Response and College of Life SciencesCapital Normal UniversityBeijingChina
| | - Yihan Liu
- Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
- Medical Science and Technology Innovation CenterShandong First Medical University & Shandong Academy of Medical SciencesJinanChina
| | - Yibo Wang
- Laboratory of Chemical BiologyChangchun Institute of Applied Chemistry, Chinese Academy of SciencesChangchunChina
| | - Xiaohui Wang
- Laboratory of Chemical BiologyChangchun Institute of Applied Chemistry, Chinese Academy of SciencesChangchunChina
- School of Applied Chemistry and EngineeringUniversity of Science and Technology of ChinaHefeiChina
- Beijing National Laboratory for Molecular SciencesBeijingChina
| | - Jing Li
- Beijing Key Laboratory of DNA Damage Response and College of Life SciencesCapital Normal UniversityBeijingChina
| | - Leiliang Zhang
- Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
- Medical Science and Technology Innovation CenterShandong First Medical University & Shandong Academy of Medical SciencesJinanChina
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5
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Helms A, Brodbelt JS. Mass Spectrometry Strategies for O-Glycoproteomics. Cells 2024; 13:394. [PMID: 38474358 DOI: 10.3390/cells13050394] [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: 01/23/2024] [Revised: 02/19/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
Glycoproteomics has accelerated in recent decades owing to numerous innovations in the analytical workflow. In particular, new mass spectrometry strategies have contributed to inroads in O-glycoproteomics, a field that lags behind N-glycoproteomics due to several unique challenges associated with the complexity of O-glycosylation. This review will focus on progress in sample preparation, enrichment strategies, and MS/MS techniques for the identification and characterization of O-glycoproteins.
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Affiliation(s)
- Amanda Helms
- Department of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA
| | - Jennifer S Brodbelt
- Department of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA
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6
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Maity S, Acharya A. Many Roles of Carbohydrates: A Computational Spotlight on the Coronavirus S Protein Binding. ACS APPLIED BIO MATERIALS 2024; 7:646-656. [PMID: 36947738 PMCID: PMC10880061 DOI: 10.1021/acsabm.2c01064] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/08/2023] [Indexed: 03/24/2023]
Abstract
Glycosylation is one of the post-translational modifications with more than 50% of human proteins being glycosylated. The exact nature and chemical composition of glycans are inaccessible to X-ray or cryo-electron microscopy imaging techniques. Therefore, computational modeling studies and molecular dynamics must be used as a "computational microscope". The spike (S) protein of SARS-CoV-2 is heavily glycosylated, and a few glycans play a more functional role "beyond shielding". In this mini-review, we discuss computational investigations of the roles of specific S-protein and ACE2 glycans in the overall ACE2-S protein binding. We highlight different functions of specific glycans demonstrated in myriad computational models and simulations in the context of the SARS-CoV-2 virus binding to the receptor. We also discuss interactions between glycocalyx and the S protein, which may be utilized to design prophylactic polysaccharide-based therapeutics targeting the S protein. In addition, we underline the recent emergence of coronavirus variants and their impact on the S protein and its glycans.
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Affiliation(s)
- Suman Maity
- Department
of Chemistry, Syracuse University, Syracuse, New York 13244, United States
| | - Atanu Acharya
- Department
of Chemistry, Syracuse University, Syracuse, New York 13244, United States
- BioInspired
Syracuse, Syracuse University, Syracuse, New York 13244, United States
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7
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Po A, Eyers CE. Top-Down Proteomics and the Challenges of True Proteoform Characterization. J Proteome Res 2023; 22:3663-3675. [PMID: 37937372 PMCID: PMC10696603 DOI: 10.1021/acs.jproteome.3c00416] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/09/2023] [Accepted: 10/20/2023] [Indexed: 11/09/2023]
Abstract
Top-down proteomics (TDP) aims to identify and profile intact protein forms (proteoforms) extracted from biological samples. True proteoform characterization requires that both the base protein sequence be defined and any mass shifts identified, ideally localizing their positions within the protein sequence. Being able to fully elucidate proteoform profiles lends insight into characterizing proteoform-unique roles, and is a crucial aspect of defining protein structure-function relationships and the specific roles of different (combinations of) protein modifications. However, defining and pinpointing protein post-translational modifications (PTMs) on intact proteins remains a challenge. Characterization of (heavily) modified proteins (>∼30 kDa) remains problematic, especially when they exist in a population of similarly modified, or kindred, proteoforms. This issue is compounded as the number of modifications increases, and thus the number of theoretical combinations. Here, we present our perspective on the challenges of analyzing kindred proteoform populations, focusing on annotation of protein modifications on an "average" protein. Furthermore, we discuss the technical requirements to obtain high quality fragmentation spectral data to robustly define site-specific PTMs, and the fact that this is tempered by the time requirements necessary to separate proteoforms in advance of mass spectrometry analysis.
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Affiliation(s)
- Allen Po
- Centre
for Proteome Research, Faculty of Health & Life Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, Faculty of Health & Life
Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
| | - Claire E. Eyers
- Centre
for Proteome Research, Faculty of Health & Life Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, Faculty of Health & Life
Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
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8
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Lusvarghi S, Stauft CB, Vassell R, Williams B, Baha H, Wang W, Neerukonda SN, Wang T, Weiss CD. Effects of N-glycan modifications on spike expression, virus infectivity, and neutralization sensitivity in ancestral compared to Omicron SARS-CoV-2 variants. PLoS Pathog 2023; 19:e1011788. [PMID: 37943965 PMCID: PMC10662749 DOI: 10.1371/journal.ppat.1011788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 11/21/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023] Open
Abstract
The SARS-CoV-2 spike glycoprotein has 22 potential N-linked glycosylation sites per monomer that are highly conserved among diverse variants, but how individual glycans affect virus entry and neutralization of Omicron variants has not been extensively characterized. Here we compared the effects of specific glycan deletions or modifications in the Omicron BA.1 and D614G spikes on spike expression, processing, and incorporation into pseudoviruses, as well as on virus infectivity and neutralization by therapeutic antibodies. We found that loss of potential glycans at spike residues N717 and N801 each conferred a loss of pseudovirus infectivity for Omicron but not for D614G or Delta variants. This decrease in infectivity correlated with decreased spike processing and incorporation into Omicron pseudoviruses. Oligomannose-enriched Omicron pseudoviruses generated in GnTI- cells or in the presence of kifunensine were non-infectious, whereas D614G or Delta pseudoviruses generated under similar conditions remained infectious. Similarly, growth of live (authentic) SARS-CoV-2 in the presence of kifunensine resulted in a greater reduction of titers for the BA.1.1 variant than Delta or D614G variants relative to their respective, untreated controls. Finally, we found that loss of some N-glycans, including N343 and N234, increased the maximum percent neutralization by the class 3 S309 monoclonal antibody against D614G but not BA.1 variants, while these glycan deletions altered the neutralization potency of the class 1 COV2-2196 and Etesevimab monoclonal antibodies without affecting maximum percent neutralization. The maximum neutralization by some antibodies also varied with the glycan composition, with oligomannose-enriched pseudoviruses conferring the highest percent neutralization. These results highlight differences in the interactions between glycans and residues among SARS-CoV-2 variants that can affect spike expression, virus infectivity, and susceptibility of variants to antibody neutralization.
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Affiliation(s)
- Sabrina Lusvarghi
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Charles B. Stauft
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Russell Vassell
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Brittany Williams
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Haseebullah Baha
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Wei Wang
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Sabari Nath Neerukonda
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Tony Wang
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Carol D. Weiss
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
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9
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Wei L, Chen Y, Feng X, Yao J, Zhang L, Zhou X, Yan G, Qiu H, Wang C, Lu H. Elucidation of N-/ O-glycosylation and site-specific mapping of sialic acid linkage isomers of SARS-CoV-2 human receptor angiotensin-converting enzyme 2. Analyst 2023; 148:5002-5011. [PMID: 37728433 DOI: 10.1039/d3an01079a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
Human angiotensin-converting enzyme 2 (hACE2) is the primary receptor for cellular entry of SARS-CoV-2 into human host cells. hACE2 is heavily glycosylated and glycans on the receptor may play a role in viral binding. Thus, comprehensive characterization of hACE2 glycosylation could aid our understanding of interactions between the receptor and SARS-CoV-2 spike (S) protein, as well as provide a basis for the development of therapeutic drugs targeting this crucial interaction. Herein, 138 N-glycan compositions were identified, most of which are complex-type N-glycans, from seven N-glycosites of hACE2. Among them, 67% contain at least one sialic acid residue. At the level of glycopeptides, the overall quantification of sialylated glycan isomers observed on the sites N322 and N546 have a higher degree of NeuAc (α2-3)Gal (over 80.3%) than that of other N-glycosites (35.6-71.0%). In terms of O-glycans, 69 glycan compositions from 12 O-glycosites were identified, and especially, the C-terminus of hACE2 is heavily O-glycosylated. The terminal sialic acid linkage type of H1N1S1 and H1N1S2 are covered highly with α2,3-sialic acid. These findings could aid the investigation of the interaction between SARS-CoV-2 and human host cells.
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Affiliation(s)
- Liming Wei
- Institutes of Biomedical Sciences and Department of Chemistry, Fudan University, 131 Dongan Road, 20032 Shanghai, China.
| | - Yuning Chen
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences Department, 555 Zuchongzhi Road, 201203 Shanghai, China.
- School of Pharmacy, University of Chinese Academy of Sciences, No. 19A Yuquan Road, 100049 Beijing, China
| | - Xiaoxiao Feng
- Institutes of Biomedical Sciences and Department of Chemistry, Fudan University, 131 Dongan Road, 20032 Shanghai, China.
| | - Jun Yao
- Institutes of Biomedical Sciences and Department of Chemistry, Fudan University, 131 Dongan Road, 20032 Shanghai, China.
| | - Lei Zhang
- Institutes of Biomedical Sciences and Department of Chemistry, Fudan University, 131 Dongan Road, 20032 Shanghai, China.
| | - Xinwen Zhou
- Institutes of Biomedical Sciences and Department of Chemistry, Fudan University, 131 Dongan Road, 20032 Shanghai, China.
| | - Guoquan Yan
- Institutes of Biomedical Sciences and Department of Chemistry, Fudan University, 131 Dongan Road, 20032 Shanghai, China.
| | - Hong Qiu
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences Department, 555 Zuchongzhi Road, 201203 Shanghai, China.
- School of Pharmacy, University of Chinese Academy of Sciences, No. 19A Yuquan Road, 100049 Beijing, China
| | - Chunhe Wang
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences Department, 555 Zuchongzhi Road, 201203 Shanghai, China.
- School of Pharmacy, University of Chinese Academy of Sciences, No. 19A Yuquan Road, 100049 Beijing, China
| | - Haojie Lu
- Institutes of Biomedical Sciences and Department of Chemistry, Fudan University, 131 Dongan Road, 20032 Shanghai, China.
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10
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Perchepied S, Zhou Z, Mitulović G, Eeltink S. Exploiting ion-mobility mass spectrometry for unraveling proteome complexity. J Sep Sci 2023; 46:e2300512. [PMID: 37746674 DOI: 10.1002/jssc.202300512] [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: 07/18/2023] [Revised: 08/17/2023] [Accepted: 08/18/2023] [Indexed: 09/26/2023]
Abstract
Ion mobility spectrometry-mass spectrometry (IMS-MS) is experiencing rapid growth in proteomic studies, driven by its enhancements in dynamic range and throughput, increasing the quantitation precision, and the depth of proteome coverage. The core principle of ion mobility spectrometry is to separate ions in an inert gas under the influence of an electric field based on differences in drift time. This minireview provides an introduction to IMS operation modes and a description of advantages and limitations is presented. Moreover, the principles of trapped IMS-MS (TIMS-MS), including parallel accumulation-serial fragmentation are discussed. Finally, emerging applications linked to TIMS focusing on sample throughput (in clinical proteomics) and sensitivity (single-cell proteomics) are reviewed, and the possibilities of intact protein analysis are discussed.
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Affiliation(s)
- Stan Perchepied
- Department of Chemical Engineering, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Zhuoheng Zhou
- Department of Chemical Engineering, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | | | - Sebastiaan Eeltink
- Department of Chemical Engineering, Vrije Universiteit Brussel (VUB), Brussels, Belgium
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11
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Wuo M, Dugan AE, Halim M, Hauser BM, Feldman J, Caradonna TM, Zhang S, Pepi LE, Atyeo C, Fischinger S, Alter G, Garcia-Beltran WF, Azadi P, Hung D, Schmidt AG, Kiessling LL. Lectin Fingerprinting Distinguishes Antibody Neutralization in SARS-CoV-2. ACS CENTRAL SCIENCE 2023; 9:947-956. [PMID: 37252360 PMCID: PMC10214521 DOI: 10.1021/acscentsci.2c01471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Indexed: 05/31/2023]
Abstract
Enveloped viruses co-opt host glycosylation pathways to decorate their surface proteins. As viruses evolve, emerging strains can modify their glycosylation patterns to influence host interactions and subvert immune recognition. Still, changes in viral glycosylation or their impact on antibody protection cannot be predicted from genomic sequences alone. Using the highly glycosylated SARS-CoV-2 Spike protein as a model system, we present a lectin fingerprinting method that rapidly reports on changes in variant glycosylation state, which are linked to antibody neutralization. In the presence of antibodies or convalescent and vaccinated patient sera, unique lectin fingerprints emerge that distinguish neutralizing versus non-neutralizing antibodies. This information could not be inferred from direct binding interactions between antibodies and the Spike receptor-binding domain (RBD) binding data alone. Comparative glycoproteomics of the Spike RBD of wild-type (Wuhan-Hu-1) and Delta (B.1.617.2) variants reveal O-glycosylation differences as a key determinant of immune recognition differences. These data underscore the interplay between viral glycosylation and immune recognition and reveal lectin fingerprinting to be a rapid, sensitive, and high-throughput assay to distinguish the neutralization potential of antibodies that target critical viral glycoproteins.
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Affiliation(s)
- Michael
G. Wuo
- Department
of Chemistry, Massachusetts Institute of
Technology, Cambridge, Massachusetts 02139, United States
| | - Amanda E. Dugan
- Department
of Chemistry, Massachusetts Institute of
Technology, Cambridge, Massachusetts 02139, United States
| | - Melanie Halim
- Department
of Chemistry, Massachusetts Institute of
Technology, Cambridge, Massachusetts 02139, United States
| | - Blake M. Hauser
- Ragon
Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts 02139, United States
| | - Jared Feldman
- Ragon
Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts 02139, United States
| | - Timothy M. Caradonna
- Ragon
Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts 02139, United States
| | - Shuting Zhang
- The
Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
- Department
of Molecular Biology and Center for Computational and Integrative
Biology, Massachusetts General Hospital, Boston, Massachusetts 02139, United States
- Department
of Genetics, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Lauren E. Pepi
- Complex
Carbohydrate Research Center, University
of Georgia, Athens, Georgia 30602, United States
| | - Caroline Atyeo
- Ragon
Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts 02139, United States
| | - Stephanie Fischinger
- Ragon
Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts 02139, United States
| | - Galit Alter
- Ragon
Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts 02139, United States
| | | | - Parastoo Azadi
- Complex
Carbohydrate Research Center, University
of Georgia, Athens, Georgia 30602, United States
| | - Deb Hung
- The
Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
- Department
of Molecular Biology and Center for Computational and Integrative
Biology, Massachusetts General Hospital, Boston, Massachusetts 02139, United States
- Department
of Genetics, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Aaron G. Schmidt
- Ragon
Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts 02139, United States
- Department
of Microbiology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Laura L. Kiessling
- Department
of Chemistry, Massachusetts Institute of
Technology, Cambridge, Massachusetts 02139, United States
- The
Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
- Koch
Institute for Integrative Cancer Research, MIT, Cambridge, Massachusetts 02139, United States
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12
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Cheng N, Liu M, Li W, Sun B, Liu D, Wang G, Shi J, Li L. Protein post-translational modification in SARS-CoV-2 and host interaction. Front Immunol 2023; 13:1068449. [PMID: 36713387 PMCID: PMC9880545 DOI: 10.3389/fimmu.2022.1068449] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 12/27/2022] [Indexed: 01/14/2023] Open
Abstract
SARS-CoV-2 can cause lung diseases, such as pneumonia and acute respiratory distress syndrome, and multi-system dysfunction. Post-translational modifications (PTMs) related to SARS-CoV-2 are conservative and pathogenic, and the common PTMs are glycosylation, phosphorylation, and acylation. The glycosylation of SARS-CoV-2 mainly occurs on spike (S) protein, which mediates the entry of the virus into cells through interaction with angiotensin-converting enzyme 2. SARS-CoV-2 utilizes glycans to cover its epitopes and evade the immune response through glycosylation of S protein. Phosphorylation of SARS-CoV-2 nucleocapsid (N) protein improves its selective binding to viral RNA and promotes viral replication and transcription, thereby increasing the load of the virus in the host. Succinylated N and membrane(M) proteins of SARS-CoV-2 synergistically affect virus particle assembly. N protein regulates its affinity for other proteins and the viral genome through acetylation. The acetylated envelope (E) protein of SARS-CoV-2 interacts with bromodomain-containing protein 2/4 to influence the host immune response. Both palmitoylation and myristoylation sites on S protein can affect the virus infectivity. Papain-like protease is a domain of NSP3 that dysregulates host inflammation by deubiquitination and impinges host IFN-I antiviral immune responses by deISGylation. Ubiquitination of ORF7a inhibits host IFN-α signaling by blocking STAT2 phosphorylation. The methylation of N protein can inhibit the formation of host stress granules and promote the binding of N protein to viral RNA, thereby promoting the production of virus particles. NSP3 macrodomain can reverse the ADP-ribosylation of host proteins, and inhibit the cascade immune response with IFN as the core, thereby promoting the intracellular replication of SARS-CoV-2. On the whole, PTMs have fundamental roles in virus entry, replication, particle assembly, and host immune response. Mutations in various SARS-CoV-2 variants, which lead to changes in PTMs at corresponding sites, cause different biological effects. In this paper, we mainly reviewed the effects of PTMs on SARS-CoV-2 and host cells, whose application is to inform the strategies for inhibiting viral infection and facilitating antiviral treatment and vaccine development for COVID-19.
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Affiliation(s)
- Nana Cheng
- China-Japan Union Hospital, Jilin University, Changchun, Jilin Province, China
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province, China
| | - Mingzhu Liu
- China-Japan Union Hospital, Jilin University, Changchun, Jilin Province, China
| | - Wanting Li
- China-Japan Union Hospital, Jilin University, Changchun, Jilin Province, China
| | - BingYue Sun
- First Affiliated Hospital of Jilin University, Changchun, China
| | - Dandan Liu
- First Affiliated Hospital of Jilin University, Changchun, China
| | - Guoqing Wang
- Department of Pathogenobiology, The Key Laboratory of Zoonosis Research, Chinese Ministry of Education, College of Basic Medical Science, Jilin University, Changchun, China
| | - Jingwei Shi
- China-Japan Union Hospital, Jilin University, Changchun, Jilin Province, China
| | - Lisha Li
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province, China
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13
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Seeing the complete picture: proteins in top-down mass spectrometry. Essays Biochem 2022; 67:283-300. [PMID: 36468679 DOI: 10.1042/ebc20220098] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 12/12/2022]
Abstract
Abstract
Top-down protein mass spectrometry can provide unique insights into protein sequence and structure, including precise proteoform identification and study of protein–ligand and protein–protein interactions. In contrast with the commonly applied bottom-up approach, top-down approaches do not include digestion of the protein of interest into small peptides, but instead rely on the ionization and subsequent fragmentation of intact proteins. As such, it is fundamentally the only way to fully characterize the composition of a proteoform. Here, we provide an overview of how a top-down protein mass spectrometry experiment is performed and point out recent applications from the literature to the reader. While some parts of the top-down workflow are broadly applicable, different research questions are best addressed with specific experimental designs. The most important divide is between studies that prioritize sequence information (i.e., proteoform identification) versus structural information (e.g., conformational studies, or mapping protein–protein or protein–ligand interactions). Another important consideration is whether to work under native or denaturing solution conditions, and the overall complexity of the sample also needs to be taken into account, as it determines whether (chromatographic) separation is required prior to MS analysis. In this review, we aim to provide enough information to support both newcomers and more experienced readers in the decision process of how to answer a potential research question most efficiently and to provide an overview of the methods that exist to answer these questions.
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