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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2021-2022. MASS SPECTROMETRY REVIEWS 2024. [PMID: 38925550 DOI: 10.1002/mas.21873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 06/28/2024]
Abstract
The use of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well-established technique and this review is the 12th update of the original article published in 1999 and brings coverage of the literature to the end of 2022. As with previous review, this review also includes a few papers that describe methods appropriate to analysis by MALDI, such as sample preparation, even though the ionization method is not MALDI. The review follows the same format as previous reviews. It is divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification and the use of computer software for structural identification. (2) Applications to various structural types such as oligo- and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals, and (3) other general areas such as medicine, industrial processes, natural products and glycan synthesis where MALDI is extensively used. Much of the material relating to applications is presented in tabular form. MALDI is still an ideal technique for carbohydrate analysis, particularly in its ability to produce single ions from each analyte and advancements in the technique and range of applications show little sign of diminishing.
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Xie Y, Liu X, Zhao C, Chen S, Wang S, Lin Z, Robison FM, George BM, Flynn RA, Lebrilla CB, Garcia BA. Development and application of GlycanDIA workflow for glycomic analysis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.12.584702. [PMID: 38559279 PMCID: PMC10980037 DOI: 10.1101/2024.03.12.584702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Glycans modify protein, lipid, and even RNA molecules to form the regulatory outer coat on cells called the glycocalyx. The changes in glycosylation have been linked to the initiation and progression of many diseases. Thus, while the significance of glycosylation is well established, a lack of accessible methods to characterize glycans has hindered the ability to understand their biological functions. Mass spectrometry (MS)-based methods have generally been at the core of most glycan profiling efforts; however, modern data-independent acquisition (DIA), which could increase sensitivity and simplify workflows, has not been benchmarked for analyzing glycans. Herein, we developed a DIA-based glycomic workflow, termed GlycanDIA, to identify and quantify glycans with high sensitivity and accuracy. The GlycanDIA workflow combined higher energy collisional dissociation (HCD)-MS/MS and staggered windows for glycomic analysis, which facilitates the sensitivity in identification and the accuracy in quantification compared to conventional data-dependent acquisition (DDA)-based glycomics. To facilitate its use, we also developed a generic search engine, GlycanDIA Finder, incorporating an iterative decoy searching for confident glycan identification and quantification from DIA data. The results showed that GlycanDIA can distinguish glycan composition and isomers from N-glycans, O-glycans, and human milk oligosaccharides (HMOs), while it also reveals information on low-abundant modified glycans. With the improved sensitivity, we performed experiments to profile N-glycans from RNA samples, which have been underrepresented due to their low abundance. Using this integrative workflow to unravel the N-glycan profile in cellular and tissue glycoRNA samples, we found that RNA-glycans have specific forms as compared to protein-glycans and are also tissue-specific differences, suggesting distinct functions in biological processes. Overall, GlycanDIA can provide comprehensive information for glycan identification and quantification, enabling researchers to obtain in-depth and refined details on the biological roles of glycosylation.
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Affiliation(s)
- Yixuan Xie
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri, United States
- Department of Chemistry, University of California, Davis, Davis, California, United States
| | - Xingyu Liu
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Chenfeng Zhao
- Department of Computer Science & Engineering, Washington University, St. Louis, Missouri, United States
| | - Siyu Chen
- Department of Chemistry, University of California, Davis, Davis, California, United States
| | - Shunyang Wang
- Department of Chemistry, University of California, Davis, Davis, California, United States
| | - Zongtao Lin
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Faith M Robison
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Benson M George
- Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital, Boston, Massachusetts, United States
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, United States
| | - Ryan A Flynn
- Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital, Boston, Massachusetts, United States
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, United States
| | - Carlito B Lebrilla
- Department of Chemistry, University of California, Davis, Davis, California, United States
- Department of Biochemistry, University of California, Davis, Davis, California, United States
| | - Benjamin A Garcia
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri, United States
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Pasala C, Sharma S, Roychowdhury T, Moroni E, Colombo G, Chiosis G. N-Glycosylation as a Modulator of Protein Conformation and Assembly in Disease. Biomolecules 2024; 14:282. [PMID: 38540703 PMCID: PMC10968129 DOI: 10.3390/biom14030282] [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: 01/29/2024] [Revised: 02/19/2024] [Accepted: 02/22/2024] [Indexed: 05/01/2024] Open
Abstract
Glycosylation, a prevalent post-translational modification, plays a pivotal role in regulating intricate cellular processes by covalently attaching glycans to macromolecules. Dysregulated glycosylation is linked to a spectrum of diseases, encompassing cancer, neurodegenerative disorders, congenital disorders, infections, and inflammation. This review delves into the intricate interplay between glycosylation and protein conformation, with a specific focus on the profound impact of N-glycans on the selection of distinct protein conformations characterized by distinct interactomes-namely, protein assemblies-under normal and pathological conditions across various diseases. We begin by examining the spike protein of the SARS virus, illustrating how N-glycans regulate the infectivity of pathogenic agents. Subsequently, we utilize the prion protein and the chaperone glucose-regulated protein 94 as examples, exploring instances where N-glycosylation transforms physiological protein structures into disease-associated forms. Unraveling these connections provides valuable insights into potential therapeutic avenues and a deeper comprehension of the molecular intricacies that underlie disease conditions. This exploration of glycosylation's influence on protein conformation effectively bridges the gap between the glycome and disease, offering a comprehensive perspective on the therapeutic implications of targeting conformational mutants and their pathologic assemblies in various diseases. The goal is to unravel the nuances of these post-translational modifications, shedding light on how they contribute to the intricate interplay between protein conformation, assembly, and disease.
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Affiliation(s)
- Chiranjeevi Pasala
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.P.); (S.S.); (T.R.)
| | - Sahil Sharma
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.P.); (S.S.); (T.R.)
| | - Tanaya Roychowdhury
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.P.); (S.S.); (T.R.)
| | - Elisabetta Moroni
- The Institute of Chemical Sciences and Technologies (SCITEC), Italian National Research Council (CNR), 20131 Milano, Italy; (E.M.); (G.C.)
| | - Giorgio Colombo
- The Institute of Chemical Sciences and Technologies (SCITEC), Italian National Research Council (CNR), 20131 Milano, Italy; (E.M.); (G.C.)
- Department of Chemistry, University of Pavia, 27100 Pavia, Italy
| | - Gabriela Chiosis
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.P.); (S.S.); (T.R.)
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
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Haslund-Gourley BS, Hou J, Woloszczuk K, Horn EJ, Dempsey G, Haddad EK, Wigdahl B, Comunale MA. Host glycosylation of immunoglobulins impairs the immune response to acute Lyme disease. EBioMedicine 2024; 100:104979. [PMID: 38266555 PMCID: PMC10818078 DOI: 10.1016/j.ebiom.2024.104979] [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: 07/20/2023] [Revised: 01/02/2024] [Accepted: 01/09/2024] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND Lyme disease is caused by the bacteria Borreliella burgdorferi sensu lato (Bb) transmitted to humans from the bite of an infected Ixodes tick. Current diagnostics for Lyme disease are insensitive at the early disease stage and they cannot differentiate between active infections and people with a recent history of antibiotic-treated Lyme disease. METHODS Machine learning technology was utilized to improve the prediction of acute Lyme disease and identify sialic acid and galactose sugar structures (N-glycans) on immunoglobulins associated specifically at time points during acute Lyme disease time. A plate-based approach was developed to analyze sialylated N-glycans associated with anti-Bb immunoglobulins. This multiplexed approach quantitates the abundance of Bb-specific IgG and the associated sialic acid, yielding an accuracy of 90% in a powered study. FINDINGS It was demonstrated that immunoglobulin sialic acid levels increase during acute Lyme disease and following antibiotic therapy and a 3-month convalescence, the sialic acid level returned to that found in healthy control subjects (p < 0.001). Furthermore, the abundance of sialic acid on Bb-specific IgG during acute Lyme disease impaired the host's ability to combat Lyme disease via lymphocytic receptor FcγRIIIa signaling. After enzymatically removing the sialic acid present on Bb-specific antibodies, the induction of cytotoxicity from acute Lyme disease patient antigen-specific IgG was significantly improved. INTERPRETATION Taken together, Bb-specific immunoglobulins contain increased sialylation which impairs the host immune response during acute Lyme disease. Furthermore, this Bb-specific immunoglobulin sialyation found in acute Lyme disease begins to resolve following antibiotic therapy and convalescence. FUNDING Funding for this study was provided by the Coulter-Drexel Translational Research Partnership Program as well as from a Faculty Development Award from the Drexel University College of Medicine Institute for Molecular Medicine and Infectious Disease and the Department of Microbiology and Immunology.
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Affiliation(s)
- Benjamin S Haslund-Gourley
- Department of Microbiology and Immunology and the Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Jintong Hou
- Department of Microbiology and Immunology and the Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Kyra Woloszczuk
- Department of Microbiology and Immunology and the Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | | | - George Dempsey
- East Hampton Family Medicine, East Hampton North, New York, USA
| | - Elias K Haddad
- Department of Microbiology and Immunology and the Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Brian Wigdahl
- Department of Microbiology and Immunology and the Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Mary Ann Comunale
- Department of Microbiology and Immunology and the Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.
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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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Bradberry MM, Peters-Clarke TM, Shishkova E, Chapman ER, Coon JJ. N-glycoproteomics of brain synapses and synaptic vesicles. Cell Rep 2023; 42:112368. [PMID: 37036808 PMCID: PMC10560701 DOI: 10.1016/j.celrep.2023.112368] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 01/13/2023] [Accepted: 03/23/2023] [Indexed: 04/11/2023] Open
Abstract
At mammalian neuronal synapses, synaptic vesicle (SV) glycoproteins are essential for robust neurotransmission. Asparagine (N)-linked glycosylation is required for delivery of the major SV glycoproteins synaptophysin and SV2A to SVs. Despite this key role for N-glycosylation, the molecular compositions of SV N-glycans are largely unknown. In this study, we combined organelle isolation techniques and high-resolution mass spectrometry to characterize N-glycosylation at synapses and SVs from mouse brain. Detecting over 2,500 unique glycopeptides, we found that SVs harbor a distinct population of oligomannose and highly fucosylated N-glycans. Using complementary fluorescence methods, we identify at least one highly fucosylated N-glycan enriched in SVs compared with synaptosomes. High fucosylation was characteristic of SV proteins, plasma membrane proteins, and cell adhesion molecules with key roles in synaptic function and development. Our results define the N-glycoproteome of a specialized neuronal organelle and inform timely questions in the glycobiology of synaptic pruning and neuroinflammation.
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Affiliation(s)
- Mazdak M Bradberry
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; National Center for Quantitative Biology of Complex Systems, Madison, WI 53706, USA; Howard Hughes Medical Institute and Department of Neuroscience, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA; Department of Psychiatry, Columbia University, New York, NY 10032, USA.
| | - Trenton M Peters-Clarke
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; National Center for Quantitative Biology of Complex Systems, Madison, WI 53706, USA
| | - Evgenia Shishkova
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; National Center for Quantitative Biology of Complex Systems, Madison, WI 53706, USA
| | - Edwin R Chapman
- Howard Hughes Medical Institute and Department of Neuroscience, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
| | - Joshua J Coon
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; National Center for Quantitative Biology of Complex Systems, Madison, WI 53706, USA; Morgridge Institute for Research, Madison, WI 53715, USA
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Liu Y, Zeng Q, Hu X, Xu Z, Pan C, Liu Q, Yu J, Wu S, Sun M, Liao M. Natural variant R246K in hemagglutinin increased zoonotic characteristics and renal inflammation in mice infected with H9N2 influenza virus. Vet Microbiol 2023; 279:109667. [PMID: 36804565 DOI: 10.1016/j.vetmic.2023.109667] [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: 10/21/2022] [Revised: 01/17/2023] [Accepted: 01/22/2023] [Indexed: 02/05/2023]
Abstract
Considered a potential pandemic candidate, the widespread among poultry of H9N2 avian influenza viruses across Asia and North Africa pose an increasing threat to poultry and human health. The massive epidemic of H9N2 viruses has expanded the host range; however, the molecular basis and characteristic underlying the transmission to poultry and mammals remains unclear. Our previous study has proved that some natural mutations in the HA gene enhanced the binding ability of the H9N2 virus to α-2,6 SA receptors. Here, we systematically analyzed the impact of these natural mutations on zoonotic characteristics and the pathogenicity of H9N2 AIVs in poultry and mammals. Our study demonstrated that mutation R246K increased the replication in human lung epithelial cells in vitro. Mutation R246K increased the virus shedding of oropharyngeal swabs during early-stage infection in chickens. Moreover, mutation R246K displayed stronger pH stability and pathogenicity in mice. The strong renal tropism and inflammatory response may accelerate the pathogenicity. In summary, we found that natural variation R246K in HA of prevalent H9N2 in China promoted the transmissibility in chicken and accelerate the pathogenicity in mice, posing a great concern for zoonotic and pandemic emergence.
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Affiliation(s)
- Yang Liu
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, PR China; Guangdong Laboratory for Lingnan Modern Agriculture, PR China; Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, Guangzhou, PR China; Key Laboratory of Livestock Disease Prevention of Guangdong Province, Guangzhou, PR China
| | - Qinghang Zeng
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, PR China; Guangdong Laboratory for Lingnan Modern Agriculture, PR China; College of Animal Science & Technology, Zhongkai University of Agricultural and Engineering, Guangzhou, PR China; Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, Guangzhou, PR China; Key Laboratory of Livestock Disease Prevention of Guangdong Province, Guangzhou, PR China
| | - Xinyu Hu
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, PR China; Guangdong Laboratory for Lingnan Modern Agriculture, PR China; College of Animal Science & Technology, Zhongkai University of Agricultural and Engineering, Guangzhou, PR China; Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, Guangzhou, PR China; Key Laboratory of Livestock Disease Prevention of Guangdong Province, Guangzhou, PR China
| | - Zhihong Xu
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, PR China; Guangdong Laboratory for Lingnan Modern Agriculture, PR China; Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, Guangzhou, PR China; Key Laboratory of Livestock Disease Prevention of Guangdong Province, Guangzhou, PR China
| | - Chungen Pan
- Haid Research Institute, Guangdong HaidGroup Co., Ltd., Guangzhou, PR China
| | - Quan Liu
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, PR China; Guangdong Laboratory for Lingnan Modern Agriculture, PR China; Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, Guangzhou, PR China; Key Laboratory of Livestock Disease Prevention of Guangdong Province, Guangzhou, PR China
| | - Jieshi Yu
- Agro-Biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, PR China
| | - Siyu Wu
- Agro-Biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, PR China
| | - Minhua Sun
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, PR China; Guangdong Laboratory for Lingnan Modern Agriculture, PR China; Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, Guangzhou, PR China; Key Laboratory of Livestock Disease Prevention of Guangdong Province, Guangzhou, PR China
| | - Ming Liao
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, PR China; Guangdong Laboratory for Lingnan Modern Agriculture, PR China; Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, Guangzhou, PR China; Key Laboratory of Livestock Disease Prevention of Guangdong Province, Guangzhou, PR China.
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