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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 2025; 44:213-453. [PMID: 38925550 PMCID: PMC11976392 DOI: 10.1002/mas.21873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [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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Helm J, Mereiter S, Oliveira T, Gattinger A, Markovitz DM, Penninger JM, Altmann F, Stadlmann J. Non-targeted N-glycome profiling reveals multiple layers of organ-specific diversity in mice. Nat Commun 2024; 15:9725. [PMID: 39521793 PMCID: PMC11550822 DOI: 10.1038/s41467-024-54134-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 10/31/2024] [Indexed: 11/16/2024] Open
Abstract
N-glycosylation is one of the most common protein modifications in eukaryotes, with immense importance at the molecular, cellular, and organismal level. Accurate and reliable N-glycan analysis is essential to obtain a systems-wide understanding of fundamental biological processes. Due to the structural complexity of glycans, their analysis is still highly challenging. Here we make publicly available a consistent N-glycome dataset of 20 different mouse tissues and demonstrate a multimodal data analysis workflow that allows for unprecedented depth and coverage of N-glycome features. This highly scalable, LC-MS/MS data-driven method integrates the automated identification of N-glycan spectra, the application of non-targeted N-glycome profiling strategies and the isomer-sensitive analysis of glycan structures. Our delineation of critical sub-structural determinants and glycan isomers across the mouse N-glycome uncovered tissue-specific glycosylation patterns, the expression of non-canonical N-glycan structures and highlights multiple layers of N-glycome complexity that derive from organ-specific regulations of glycobiological pathways.
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Affiliation(s)
- Johannes Helm
- Institute of Biochemistry, Department of Chemistry, University of Natural Resources and Life Sciences (BOKU), Muthgasse 18, Vienna, Austria
| | - Stefan Mereiter
- Eric Kandel Institute, Department of Laboratory Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, Austria
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Dr. Bohr-Gasse 3, Vienna, Austria
| | - Tiago Oliveira
- Eric Kandel Institute, Department of Laboratory Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, Austria
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Dr. Bohr-Gasse 3, Vienna, Austria
| | - Anna Gattinger
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Dr. Bohr-Gasse 3, Vienna, Austria
- Bioinformatics Research Group, University of Applied Sciences Upper Austria, Softwarepark 11, Hagenberg, Austria
| | - David M Markovitz
- Division of Infectious Diseases, Department of Internal Medicine, and the Programs in Immunology, Cellular and Molecular Biology, and Cancer Biology, University of Michigan, Ann Arbor, MI, USA
| | - Josef M Penninger
- Eric Kandel Institute, Department of Laboratory Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, Austria
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Dr. Bohr-Gasse 3, Vienna, Austria
- Department of Medical Genetics, Life Sciences Institute, University of British Columbia, Vancouver Campus, 2350 Health Sciences Mall, Vancouver, BC, Canada
- Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Friedrich Altmann
- Institute of Biochemistry, Department of Chemistry, University of Natural Resources and Life Sciences (BOKU), Muthgasse 18, Vienna, Austria
| | - Johannes Stadlmann
- Institute of Biochemistry, Department of Chemistry, University of Natural Resources and Life Sciences (BOKU), Muthgasse 18, Vienna, Austria.
- BOKU Core Facility Mass Spectrometry, University of Natural Resources and Life Sciences (BOKU), Muthgasse 18, Vienna, Austria.
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Chen Q, Tan Z, Tang Y, Fung YME, Chen S, Chen Z, Li X. Comprehensive Glycomic and Glycoproteomic Analyses of Human Programmed Cell Death Protein 1 Extracellular Domain. J Proteome Res 2024; 23:3958-3973. [PMID: 39101792 DOI: 10.1021/acs.jproteome.4c00292] [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: 08/06/2024]
Abstract
Human programmed cell death protein 1 (hPD-1) is an essential receptor in the immune checkpoint pathway. It has played an important role in cancer therapy. However, not all patients respond positively to the PD-1 antibody treatment, and the underlying mechanism remains unknown. PD-1 is a transmembrane glycoprotein, and its extracellular domain (ECD) is reported to be responsible for interactions and signal transduction. This domain contains 4 N-glycosylation sites and 25 potential O-glycosylation sites, which implicates the importance of glycosylation. The structure of hPD-1 has been intensively studied, but the glycosylation of this protein, especially the glycan on each glycosylation site, has not been comprehensively illustrated. In this study, hPD-1 ECD expressed by human embryonic kidney 293 (HEK 293) and Chinese hamster ovary (CHO) cells was analyzed; not only N- and O-glycosylation sites but also the glycans on these sites were comprehensively analyzed using mass spectrometry. In addition, hPD-1 ECD binding to different anti-hPD-1 antibodies was tested, and N-glycans were found functioned differently. All of this glycan information will be beneficial for future PD-1 studies.
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Affiliation(s)
- Qiushi Chen
- Laboratory for Synthetic Chemistry and Chemical Biology Limited, Units 1503-1511, 15/F., Building 17W, Hong Kong Science Park, Shatin, Hong Kong SAR 999077, P. R. China
- Department of Chemistry, State Key Laboratory of Synthetic Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, P. R. China
| | - Zhiwu Tan
- AIDS Institute and Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Sassoon Road, Hong Kong SAR 999077, P. R. China
| | - Yang Tang
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Tat Chee Avenue, Hong Kong SAR 999077, PR. China
| | - Yi Man Eva Fung
- Department of Chemistry, State Key Laboratory of Synthetic Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, P. R. China
| | - Sheng Chen
- Department of Food Science and Nutrition, Faculty of Science, The Hong Kong Polytechnic University, Yuk Choi Road, Hong Kong SAR 999077, P. R. China
| | - Zhiwei Chen
- AIDS Institute and Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Sassoon Road, Hong Kong SAR 999077, P. R. China
| | - Xuechen Li
- Laboratory for Synthetic Chemistry and Chemical Biology Limited, Units 1503-1511, 15/F., Building 17W, Hong Kong Science Park, Shatin, Hong Kong SAR 999077, P. R. China
- Department of Chemistry, State Key Laboratory of Synthetic Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, P. R. China
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Stadlmann J, Helm J, Mereiter S, Oliveira T, Gattinger A, Markovitz D, Penninger J, Altmann F. Non-targeted isomer-sensitive N-glycome analysis reveals new layers of organ-specific diversity in mice. RESEARCH SQUARE 2024:rs.3.rs-4130712. [PMID: 38659835 PMCID: PMC11042426 DOI: 10.21203/rs.3.rs-4130712/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
N-glycosylation is one of the most common protein modifications in eukaryotes, with immense importance at the molecular, cellular, and organismal level. Accurate and reliable N-glycan analysis is essential to obtain a systems-wide understanding of fundamental biological processes. Due to the structural complexity of glycans, their analysis is still highly challenging. Here we make publicly available a consistent N-glycome dataset of 20 different mouse tissues and demonstrate a multimodal data analysis workflow that allows for unprecedented depth and coverage of N-glycome features. This highly scalable, LC-MS/MS data-driven method integrates the automated identification of N-glycan spectra, the application of non-targeted N-glycome profiling strategies and the isomer-sensitive analysis of glycan structures. Our delineation of critical sub-structural determinants and glycan isomers across the mouse N-glycome uncovered tissue-specific glycosylation patterns, the expression of non-canonical N-glycan structures and highlights multiple layers of N-glycome complexity that derive from organ-specific regulations of glycobiological pathways.
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Affiliation(s)
| | - Johannes Helm
- University of Natural Resources and Life Sciences Vienna
| | | | - Tiago Oliveira
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA)
| | - Anna Gattinger
- Bioinformatics Research Group, University of Applied Sciences Upper Austria
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Safain KS, Crouse MS, Syring JG, Entzie YL, King LE, Hirchert MR, Ward AK, Reynolds LP, Borowicz PP, Dahlen CR, Swanson KC, Caton JS. One-carbon metabolites supplementation and nutrient restriction alter the fetal liver metabolomic profile during early gestation in beef heifers. J Anim Sci 2024; 102:skae258. [PMID: 39234988 PMCID: PMC11465369 DOI: 10.1093/jas/skae258] [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: 06/07/2024] [Accepted: 09/04/2024] [Indexed: 09/06/2024] Open
Abstract
Maternal nutrition is pivotal for proper fetal development, with one-carbon metabolites (OCM) playing a key role in fetal epigenetic programming through DNA and histone methylation. The study aimed to investigate the effects of nutrient restriction and OCM supplementation on fetal liver metabolomics in pregnant beef-heifers, focusing on metabolites and pathways associated with amino acid, vitamin and cofactor, carbohydrate, and energy metabolism at day 63 of gestation. Thirty-one crossbred Angus heifers were artificially inseminated and allocated to 4 nutritional treatments in a 2 × 2 factorial arrangement of treatments, with the 2 factors being dietary intake/rate of gain (control-diet [CON]; 0.60 kg/d ADG, vs. restricted-diet [RES]; -0.23 kg/d ADG) and OCM supplementation (supplemented [+OCM] vs. not supplemented [-OCM]). The resulting treatment groups-CON - OCM, CON + OCM, RES - OCM, and RES + OCM were maintained for 63 day post-breeding. Following this period, fetal liver tissues were collected and subjected to metabolomic analysis using UPLC-tandem mass-spectrometry. We identified 288 metabolites, with the majority (n = 54) being significantly influenced by the main effect of gain (P ≤ 0.05). Moreover, RES showed decreased abundances of most metabolites in pathways such as lysine metabolism; leucine, isoleucine, and valine metabolism; and tryptophan metabolism, compared to CON. Supplementation with OCM vs. no OCM supplementation, resulted in greater abundance of metabolites (P ≤ 0.05) affecting pathways associated with methionine, cysteine, S-adenosylmethionine and taurine metabolism; guanidino and acetamido metabolism; and nicotinate and nicotinamide metabolism. Notably, OCM supplementation with a moderate rate of gain increased the concentrations of ophthalmate, N-acetylglucosamine, and ascorbic-acid 3-sulfate, which are important for proper fetal development (P ≤ 0.05). Nutrient restriction reduced the majority of liver metabolites, while OCM supplementation increased a smaller number of metabolites. Thus, OCM supplementation may be protective of metabolite concentrations in key developmental pathways, which could potentially enhance fetal development under nutrient-restricted conditions.
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Affiliation(s)
- Kazi Sarjana Safain
- Department of Animal Sciences, Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND 58108, USA
| | - Matthew S Crouse
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA
| | - Jessica G Syring
- Department of Animal Sciences, Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND 58108, USA
| | - Yssi L Entzie
- Department of Animal Sciences, Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND 58108, USA
| | - Layla E King
- Department of Agriculture and Natural Resources, University of Minnesota Crookston, Crookston, MN 56716, USA
| | - Mara R Hirchert
- Department of Animal Sciences, Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND 58108, USA
| | - Alison K Ward
- Department of Veterinary Biomedical Sciences, University of Saskatchewan, Saskatoon, SK, Canada S7N 5B4
| | - Lawrence P Reynolds
- Department of Animal Sciences, Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND 58108, USA
| | - Pawel P Borowicz
- Department of Animal Sciences, Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND 58108, USA
| | - Carl R Dahlen
- Department of Animal Sciences, Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND 58108, USA
| | - Kendall C Swanson
- Department of Animal Sciences, Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND 58108, USA
| | - Joel S Caton
- Department of Animal Sciences, Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND 58108, USA
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Cao X, Wang S, Gadi MR, Liu D, Wang PG, Wan XF, Zhang J, Chen X, Pepi LE, Azadi P, Li L. Systematic synthesis of bisected N-glycans and unique recognitions by glycan-binding proteins. Chem Sci 2022; 13:7644-7656. [PMID: 35872821 PMCID: PMC9241959 DOI: 10.1039/d1sc05435j] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 05/29/2022] [Indexed: 12/13/2022] Open
Abstract
Bisected N-glycans represent a unique class of protein N-glycans that play critical roles in many biological processes. Herein, we describe the systematic synthesis of these structures. A bisected N-glycan hexasaccharide was chemically assembled with two orthogonal protecting groups attached at the C2 of the branching mannose residues, followed by sequential installation of GlcNAc and LacNAc building blocks to afford two asymmetric bisecting "cores". Subsequent enzymatic modular extension of the "cores" yielded a comprehensive library of biantennary N-glycans containing the bisecting GlcNAc and presenting 6 common glycan determinants in a combinatorial fashion. These bisected N-glycans and their non-bisected counterparts were used to construct a distinctive glycan microarray to study their recognition by a wide variety of glycan-binding proteins (GBPs), including plant lectins, animal lectins, and influenza A virus hemagglutinins. Significantly, the bisecting GlcNAc could bestow (PHA-L, rDCIR2), enhance (PHA-E), or abolish (ConA, GNL, anti-CD15s antibody, etc.) N-glycan recognition of specific GBPs, and is tolerated by many others. In summary, synthesized compounds and the unique glycan microarray provide ideal standards and tools for glycoanalysis and functional glycomic studies. The microarray data provide new information regarding the fine details of N-glycan recognition by GBPs, and in turn improve their applications.
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Affiliation(s)
- Xuefeng Cao
- Department of Chemistry, Georgia State UniversityAtlantaGAUSA
| | - Shuaishuai Wang
- Department of Chemistry, Georgia State UniversityAtlantaGAUSA
| | | | - Ding Liu
- Department of Chemistry, Georgia State UniversityAtlantaGAUSA
| | - Peng G. Wang
- Department of Chemistry, Georgia State UniversityAtlantaGAUSA
| | - Xiu-Feng Wan
- MU Center for Research on Influenza Systems Biology (CRISB), University of MissouriColumbiaMOUSA,Department of Molecular Microbiology and Immunology, School of Medicine, University of MissouriColumbiaMOUSA,Bond Life Sciences Center, University of MissouriColumbiaMOUSA,Department of Electrical Engineering & Computer Science, College of Engineering, University of MissouriColumbiaMOUSA
| | | | - Xi Chen
- Department of Chemistry, University of CaliforniaOne Shields AvenueDavisCAUSA
| | - Lauren E. Pepi
- Complex Carbohydrate Research Center, University of GeorgiaAthensGAUSA
| | - Parastoo Azadi
- Complex Carbohydrate Research Center, University of GeorgiaAthensGAUSA
| | - Lei Li
- Department of Chemistry, Georgia State UniversityAtlantaGAUSA
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