1
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Oliveira T, Zhang M, Chen CW, Packer NH, von Itzstein M, Heisterkamp N, Kolarich D. Remodelling of the glycome of B-cell precursor acute lymphoblastic leukemia cells developing drug-tolerance. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.22.609211. [PMID: 39229073 PMCID: PMC11370571 DOI: 10.1101/2024.08.22.609211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
Reduced responsiveness of precursor B-acute lymphoblastic leukemia (BCP-ALL) to chemotherapy can be first detected in the form of minimal residual disease leukemia cells that persist after 28 days of initial treatment. The ability of these cells to resist chemotherapy is partly due to the microenvironment of the bone marrow, which promotes leukemia cell growth and provides protection, particularly under these conditions of stress. It is unknown if and how the glycocalyx of such cells is remodelled during the development of tolerance to drug treatment, even though glycosylation is the most abundant cell surface post-translational modification present on the plasma membrane. To investigate this, we performed omics analysis of BCP-ALL cells that survived a 30-day vincristine chemotherapy treatment while in co-culture with bone marrow stromal cells. Proteomics showed decreased levels of some metabolic enzymes. Overall glycocalyx changes included a shift from Core-2 to less complex Core-1 O-glycans, and reduced overall sialylation, with a shift from α2-6 to α2-3 linked Neu5Ac. Interestingly, there was a clear increase in bisecting complex N-glycans with a concomitant increased mRNA expression of MGAT3 , the only enzyme known to form bisecting N-glycans. These small but reproducible quantitative differences suggest that individual glycoproteins become differentially glycosylated. Glycoproteomics confirmed glycosite-specific modulation of cell surface and lysosomal proteins in drug-tolerant BCP-ALL cells, including HLA-DRA, CD38, LAMP1 and PPT1. We conclude that drug-tolerant persister leukemia cells that grow under continuous chemotherapy stress have characteristic glycotraits that correlate with and perhaps contribute to their ability to survive and could be tested as neoantigens in drug-resistant leukemia.
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2
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Chittum JE, Thompson A, Desai UR. Glycosaminoglycan microarrays for studying glycosaminoglycan-protein systems. Carbohydr Polym 2024; 335:122106. [PMID: 38616080 PMCID: PMC11032185 DOI: 10.1016/j.carbpol.2024.122106] [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: 01/31/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/16/2024]
Abstract
More than 3000 proteins are now known to bind to glycosaminoglycans (GAGs). Yet, GAG-protein systems are rather poorly understood in terms of selectivity of recognition, molecular mechanism of action, and translational promise. High-throughput screening (HTS) technologies are critically needed for studying GAG biology and developing GAG-based therapeutics. Microarrays, developed within the past two decades, have now improved to the point of being the preferred tool in the HTS of biomolecules. GAG microarrays, in which GAG sequences are immobilized on slides, while similar to other microarrays, have their own sets of challenges and considerations. GAG microarrays are rapidly becoming the first choice in studying GAG-protein systems. Here, we review different modalities and applications of GAG microarrays presented to date. We discuss advantages and disadvantages of this technology, explain covalent and non-covalent immobilization strategies using different chemically reactive groups, and present various assay formats for qualitative and quantitative interpretations, including selectivity screening, binding affinity studies, competitive binding studies etc. We also highlight recent advances in implementing this technology, cataloging of data, and project its future promise. Overall, the technology of GAG microarray exhibits enormous potential of evolving into more than a mere screening tool for studying GAG - protein systems.
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Affiliation(s)
- John E Chittum
- Department of Medicinal Chemistry, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, United States of America; Institute for Structural Biology, Drug Discovery and Development, Virginia Commonwealth University, Richmond, VA 23219, United States of America
| | - Ally Thompson
- Department of Medicinal Chemistry, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, United States of America; Institute for Structural Biology, Drug Discovery and Development, Virginia Commonwealth University, Richmond, VA 23219, United States of America
| | - Umesh R Desai
- Department of Medicinal Chemistry, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, United States of America; Institute for Structural Biology, Drug Discovery and Development, Virginia Commonwealth University, Richmond, VA 23219, United States of America.
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3
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Park S, Chin-Hun Kuo J, Reesink HL, Paszek MJ. Recombinant mucin biotechnology and engineering. Adv Drug Deliv Rev 2023; 193:114618. [PMID: 36375719 PMCID: PMC10253230 DOI: 10.1016/j.addr.2022.114618] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 10/14/2022] [Accepted: 11/04/2022] [Indexed: 11/13/2022]
Abstract
Mucins represent a largely untapped class of polymeric building block for biomaterials, therapeutics, and other biotechnology. Because the mucin polymer backbone is genetically encoded, sequence-specific mucins with defined physical and biochemical properties can be fabricated using recombinant technologies. The pendent O-glycans of mucins are increasingly implicated in immunomodulation, suppression of pathogen virulence, and other biochemical activities. Recent advances in engineered cell production systems are enabling the scalable synthesis of recombinant mucins with precisely tuned glycan side chains, offering exciting possibilities to tune the biological functionality of mucin-based products. New metabolic and chemoenzymatic strategies enable further tuning and functionalization of mucin O-glycans, opening new possibilities to expand the chemical diversity and functionality of mucin building blocks. In this review, we discuss these advances, and the opportunities for engineered mucins in biomedical applications ranging from in vitro models to therapeutics.
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Affiliation(s)
- Sangwoo Park
- Field of Biophysics, Cornell University, Ithaca, NY 14853, USA
| | - Joe Chin-Hun Kuo
- Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Heidi L Reesink
- Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Matthew J Paszek
- Field of Biophysics, Cornell University, Ithaca, NY 14853, USA; Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, USA; Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA.
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4
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Doud EH, Yeh ES. Mass Spectrometry-Based Glycoproteomic Workflows for Cancer Biomarker Discovery. Technol Cancer Res Treat 2023; 22:15330338221148811. [PMID: 36740994 PMCID: PMC9903044 DOI: 10.1177/15330338221148811] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Glycosylation has a clear role in cancer initiation and progression, with numerous studies identifying distinct glycan features or specific glycoproteoforms associated with cancer. Common findings include that aggressive cancers tend to have higher expression levels of enzymes that regulate glycosylation as well as glycoproteins with greater levels of complexity, increased branching, and enhanced chain length1. Research in cancer glycoproteomics over the last 50-plus years has mainly focused on technology development used to observe global changes in glycosylation. Efforts have also been made to connect glycans to their protein carriers as well as to delineate the role of these modifications in intracellular signaling and subsequent cell function. This review discusses currently available techniques utilizing mass spectrometry-based technologies used to study glycosylation and highlights areas for future advancement.
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Affiliation(s)
- Emma H. Doud
- Center for Proteome Analysis, Indiana University School of Medicine, Indianapolis, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, USA
- IU Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, USA
| | - Elizabeth S. Yeh
- IU Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, USA
- Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, USA
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5
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Rasheduzzaman M, Murugan AVM, Zhang X, Oliveira T, Dolcetti R, Kenny L, Johnson NW, Kolarich D, Punyadeera C. Head and neck cancer N-glycome traits are cell line and HPV status–dependent. Anal Bioanal Chem 2022; 414:8401-8411. [DOI: 10.1007/s00216-022-04376-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 10/05/2022] [Accepted: 10/10/2022] [Indexed: 11/29/2022]
Abstract
Abstract
Glycosylation is the most common post-translational modification of proteins, and glycosylation changes at cell surfaces are frequently associated with malignant epithelia including head and neck squamous cell carcinoma (HNSCC). In HNSCC, 5-year survival remains poor, averaging around 50% globally: this is partly related to late diagnosis. Specific protein glycosylation signatures on malignant keratinocytes have promise as diagnostic and prognostic biomarkers and as therapeutic targets. Nevertheless, HNSCC-specific glycome is to date largely unknown. Herein, we tested six established HNSCC cell lines to capture the qualitative and semi-quantitative N-glycome using porous graphitized carbon liquid chromatography coupled to electrospray ionisation tandem mass spectrometry. Oligomannose-type N-glycans were the predominant features in all HNSCC cell lines analysed (57.5–70%). The levels of sialylated N-glycans showed considerable cell line-dependent differences ranging from 24 to 35%. Importantly, α2-6 linked sialylated N-glycans were dominant across most HNSCC cell lines except in SCC-9 cells where similar levels of α2-6 and α2-3 sialylated N-glycans were observed. Furthermore, we found that HPV-positive cell lines contained higher levels of phosphorylated oligomannose N-glycans, which hint towards an upregulation of lysosomal pathways. Almost all fucose-type N-glycans carried core-fucose residues with just minor levels (< 4%) of Lewis-type fucosylation identified. We also observed paucimannose-type N-glycans (2–5.5%), though in low levels. Finally, we identified oligomannose N-glycans carrying core-fucose residues and confirmed their structure by tandem mass spectrometry. This first systematic mapping of the N-glycome revealed diverse and specific glycosylation features in HNSCC, paving the way for further studies aimed at assessing their possible diagnostic relevance.
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6
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Trbojević-Akmačić I, Lageveen-Kammeijer GSM, Heijs B, Petrović T, Deriš H, Wuhrer M, Lauc G. High-Throughput Glycomic Methods. Chem Rev 2022; 122:15865-15913. [PMID: 35797639 PMCID: PMC9614987 DOI: 10.1021/acs.chemrev.1c01031] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Glycomics aims to identify the structure and function of the glycome, the complete set of oligosaccharides (glycans), produced in a given cell or organism, as well as to identify genes and other factors that govern glycosylation. This challenging endeavor requires highly robust, sensitive, and potentially automatable analytical technologies for the analysis of hundreds or thousands of glycomes in a timely manner (termed high-throughput glycomics). This review provides a historic overview as well as highlights recent developments and challenges of glycomic profiling by the most prominent high-throughput glycomic approaches, with N-glycosylation analysis as the focal point. It describes the current state-of-the-art regarding levels of characterization and most widely used technologies, selected applications of high-throughput glycomics in deciphering glycosylation process in healthy and disease states, as well as future perspectives.
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Affiliation(s)
| | | | - Bram Heijs
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Tea Petrović
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
| | - Helena Deriš
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
| | - Manfred Wuhrer
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Gordan Lauc
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
- Faculty
of Pharmacy and Biochemistry, University
of Zagreb, A. Kovačića 1, 10 000 Zagreb, Croatia
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7
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Glycosaminoglycan interaction networks and databases. Curr Opin Struct Biol 2022; 74:102355. [DOI: 10.1016/j.sbi.2022.102355] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 02/02/2022] [Accepted: 02/04/2022] [Indexed: 12/14/2022]
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8
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Grabarics M, Lettow M, Kirschbaum C, Greis K, Manz C, Pagel K. Mass Spectrometry-Based Techniques to Elucidate the Sugar Code. Chem Rev 2022; 122:7840-7908. [PMID: 34491038 PMCID: PMC9052437 DOI: 10.1021/acs.chemrev.1c00380] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Indexed: 12/22/2022]
Abstract
Cells encode information in the sequence of biopolymers, such as nucleic acids, proteins, and glycans. Although glycans are essential to all living organisms, surprisingly little is known about the "sugar code" and the biological roles of these molecules. The reason glycobiology lags behind its counterparts dealing with nucleic acids and proteins lies in the complexity of carbohydrate structures, which renders their analysis extremely challenging. Building blocks that may differ only in the configuration of a single stereocenter, combined with the vast possibilities to connect monosaccharide units, lead to an immense variety of isomers, which poses a formidable challenge to conventional mass spectrometry. In recent years, however, a combination of innovative ion activation methods, commercialization of ion mobility-mass spectrometry, progress in gas-phase ion spectroscopy, and advances in computational chemistry have led to a revolution in mass spectrometry-based glycan analysis. The present review focuses on the above techniques that expanded the traditional glycomics toolkit and provided spectacular insight into the structure of these fascinating biomolecules. To emphasize the specific challenges associated with them, major classes of mammalian glycans are discussed in separate sections. By doing so, we aim to put the spotlight on the most important element of glycobiology: the glycans themselves.
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Affiliation(s)
- Márkó Grabarics
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
| | - Maike Lettow
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
| | - Carla Kirschbaum
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
| | - Kim Greis
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
| | - Christian Manz
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
| | - Kevin Pagel
- Institute
of Chemistry and Biochemistry, Freie Universität
Berlin, Arnimallee 22, 14195 Berlin, Germany
- Department
of Molecular Physics, Fritz Haber Institute
of the Max Planck Society, Faradayweg 4−6, 14195 Berlin, Germany
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9
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Lageveen-Kammeijer GSM, Rapp E, Chang D, Rudd PM, Kettner C, Zaia J. The minimum information required for a glycomics experiment (MIRAGE): reporting guidelines for capillary electrophoresis. Glycobiology 2022; 32:580-587. [DOI: 10.1093/glycob/cwac021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 03/21/2022] [Accepted: 03/22/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
The Minimum Information Required for a Glycomics Experiment (MIRAGE) is an initiative to standardize the reporting of glycoanalytical methods and to assess their reproducibility. To date, the MIRAGE Commission has published several reporting guidelines that describe what information should be provided for sample preparation methods, mass spectrometry methods, liquid chromatography (LC) analysis, exoglycosidase digestions, glycan microarray methods and nuclear magnetic resonance methods. Here we present the first version of reporting guidelines for glyco(proteo)mics analysis by capillary electrophoresis (CE) for standardized and high-quality reporting of experimental conditions in the scientific literature. The guidelines cover all aspects of a glyco(proteo)mics CE experiment including sample preparation, CE operation mode (CZE, CGE, CEC, MEKC, cIEF, cITP), instrument configuration, capillary separation conditions, detection, data analysis, and experimental descriptors. These guidelines are linked to other MIRAGE guidelines and are freely available through the project website https://www.beilstein-institut.de/en/projects/mirage/guidelines/#ce_analysis (doi:10.3762/mirage.7).
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Affiliation(s)
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, 39106 Magdeburg, Germany
- glyXera GmbH, Brenneckestrasse 20 – ZENIT, 39120, Magdeburg, Germany
| | - Deborah Chang
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University Medical Campus, 715 Albany Street, Boston, MA 02118, USA
| | - Pauline M Rudd
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), 20 Biopolis Way, Centros, Singapore
| | - Carsten Kettner
- Beilstein-Institut, Trakehner Str. 7-9, 60487 Frankfurt am Main, Germany
| | - Joseph Zaia
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University Medical Campus, 715 Albany Street, Boston, MA 02118, USA
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10
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Xie Y, Butler M. Construction of InstantPC derivatized glycan GU database: A foundation work for high-throughput and high-sensitivity glycomic analysis. Glycobiology 2021; 32:289-303. [PMID: 34972858 DOI: 10.1093/glycob/cwab128] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 11/08/2021] [Accepted: 11/30/2021] [Indexed: 11/12/2022] Open
Abstract
Glycosylation is well-recognized as a critical quality attribute of biotherapeutics being routinely monitored to ensure desired product quality, safety, and efficacy. Additionally, as one of the most prominent and complex post-translational modifications, glycosylation plays a key role in disease manifestation. Changes in glycosylation may serve as a specific and sensitive biomarker for disease diagnostics and prognostics. However, the conventional 2-aminobenzamide based N-glycosylation analysis procedure is time-consuming and insensitive, with poor reproducibility. We have evaluated an innovative streamlined 96-well-plate-based platform utilizing InstantPC label for high-throughput, high-sensitivity glycan profiling, which is user-friendly, robust, and ready for automation. However, the limited availability of InstantPC labelled glycan standards has significantly hampered the applicability and transferability of this platform for expedited glycan structural profiling. To address this challenge, we have constructed a detailed InstantPC labelled glycan glucose unit database through analysis of human serum and a variety of other glycoproteins from various sources. Following preliminary hydrophilic interaction liquid chromatography with fluorescence detection separation and analysis, glycoproteins with complex glycan profiles were subjected to further fractionation by weak anion exchange hydrophilic interaction liquid chromatography and exoglycosidase sequential digestion for cross-validation of the glycan assignment. Hydrophilic interaction ultra-performance liquid chromatography coupled with electrospray ionization mass spectrometry was subsequently utilised for glycan fragmentation and accurate glycan mass confirmation. The constructed InstantPC glycan GU database is accurate and robust. It is believed that this database will enhance the application of the developed platform for high-throughput, high-sensitivity glycan profiling, and eventually advance glycan-based biopharmaceutical production and disease biomarker discovery.
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Affiliation(s)
- Yongjing Xie
- National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
| | - Michael Butler
- National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
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11
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Omenn GS, Lane L, Overall CM, Paik YK, Cristea IM, Corrales FJ, Lindskog C, Weintraub S, Roehrl MHA, Liu S, Bandeira N, Srivastava S, Chen YJ, Aebersold R, Moritz RL, Deutsch EW. Progress Identifying and Analyzing the Human Proteome: 2021 Metrics from the HUPO Human Proteome Project. J Proteome Res 2021; 20:5227-5240. [PMID: 34670092 PMCID: PMC9340669 DOI: 10.1021/acs.jproteome.1c00590] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The 2021 Metrics of the HUPO Human Proteome Project (HPP) show that protein expression has now been credibly detected (neXtProt PE1 level) for 18 357 (92.8%) of the 19 778 predicted proteins coded in the human genome, a gain of 483 since 2020 from reports throughout the world reanalyzed by the HPP. Conversely, the number of neXtProt PE2, PE3, and PE4 missing proteins has been reduced by 478 to 1421. This represents remarkable progress on the proteome parts list. The utilization of proteomics in a broad array of biological and clinical studies likewise continues to expand with many important findings and effective integration with other omics platforms. We present highlights from the Immunopeptidomics, Glycoproteomics, Infectious Disease, Cardiovascular, Musculo-Skeletal, Liver, and Cancers B/D-HPP teams and from the Knowledgebase, Mass Spectrometry, Antibody Profiling, and Pathology resource pillars, as well as ethical considerations important to the clinical utilization of proteomics and protein biomarkers.
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Affiliation(s)
- Gilbert S Omenn
- University of Michigan, Ann Arbor, Michigan 48109, United States
- Institute for Systems Biology, Seattle, Washington 98109, United States
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | | | - Young-Ki Paik
- Yonsei Proteome Research Center and Yonsei University, Seoul 03722, Korea
| | - Ileana M Cristea
- Princeton University, Princeton, New Jersey 08544, United States
| | | | | | - Susan Weintraub
- University of Texas Health, San Antonio, San Antonio, Texas 78229-3900, United States
| | - Michael H A Roehrl
- Memorial Sloan Kettering Cancer Center, New York, New York 10065, United States
| | - Siqi Liu
- BGI Group, Shenzhen 518083, China
| | - Nuno Bandeira
- University of California, San Diego, La Jolla, California 92093, United States
| | | | - Yu-Ju Chen
- National Taiwan University, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Ruedi Aebersold
- ETH-Zurich and University of Zurich, 8092 Zurich, Switzerland
| | - Robert L Moritz
- Institute for Systems Biology, Seattle, Washington 98109, United States
| | - Eric W Deutsch
- Institute for Systems Biology, Seattle, Washington 98109, United States
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12
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Chiu KY, Wang Q, Gunawardena HP, Held M, Faik A, Chen H. Desalting Paper Spay Mass Spectrometry (DPS-MS) for Rapid Detection of Glycans and Glycoconjugates. INTERNATIONAL JOURNAL OF MASS SPECTROMETRY 2021; 469:116688. [PMID: 35386843 PMCID: PMC8981528 DOI: 10.1016/j.ijms.2021.116688] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The detection of glycans and glycoconjugates has gained increasing attention in biological fields. Traditional mass spectrometry (MS)-based methods for glycoconjugate analysis are challenged with poor intensity when dealing with complex biological samples. We developed a desalting paper spray mass spectrometry (DPS-MS) strategy to overcome the issue of signal suppression of carbohydrates in salted buffer. Glycans and glycoconjugates (i.e., glycopeptides, nucleotide sugars, etc.) in non-volatile buffer (e.g., Tris buffer) can be loaded on the paper substrate from which buffers can be removed by washing with ACN/H2O (90/10 v/v) solution. Glycans or glycoconjugates can then be eluted and spray ionized by adding ACN/H2O/formic acid (FA) (10/90/1 v/v/v) solvent and applying a high voltage (HV) to the paper substrate. This work also showed that DPS-MS is applicable for direct detection of intact glycopeptides and nucleotide sugars as well as determination of glycosylation profiling of antibody, such as NIST monoclonal antibody IgG (NISTmAb). NISTmAb was deglycosylated with PNGase F to release N-linked oligosaccharides. Twenty-six N-linked oligosaccharides were detected by DPS-MS within a 5-minute timeframe without the need for further enrichment or derivatization. This work demonstrates that DPS-MS allows fast and sensitive detection of glycans/oligosaccharides and glycosylated species in complex matrices and has great potential in bioanalysis.
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Affiliation(s)
- Kai-Yuan Chiu
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey, USA, 07102
| | - Qi Wang
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey, USA, 07102
| | - Harsha P Gunawardena
- Janssen Research & Development, The Janssen Pharmaceutical Companies of Johnson & Johnson, Spring House, Pennsylvania, USA, 19477
| | - Michael Held
- Deparment of Chemistry and Biochemistry, Ohio University, Athens, Ohio 45701, USA
- Interdisciplinary Program in Molecular and Cellular Biology, Ohio University, Athens, Ohio USA, 45701
| | - Ahmed Faik
- Interdisciplinary Program in Molecular and Cellular Biology, Ohio University, Athens, Ohio USA, 45701
- Department of Environmental and Plant Biology, Ohio University, Athens Ohio, USA, 45701
| | - Hao Chen
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey, USA, 07102
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13
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Oliveira T, Zhang M, Joo EJ, Abdel-Azim H, Chen CW, Yang L, Chou CH, Qin X, Chen J, Alagesan K, Almeida A, Jacob F, Packer NH, von Itzstein M, Heisterkamp N, Kolarich D. Glycoproteome remodeling in MLL-rearranged B-cell precursor acute lymphoblastic leukemia. Am J Cancer Res 2021; 11:9519-9537. [PMID: 34646384 PMCID: PMC8490503 DOI: 10.7150/thno.65398] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 09/03/2021] [Indexed: 01/13/2023] Open
Abstract
B-cell precursor acute lymphoblastic leukemia (BCP-ALL) with mixed-lineage leukemia gene rearrangement (MLL-r) is a poor-prognosis subtype for which additional therapeutic targets are urgently needed. Currently no multi-omics data set for primary MLL r patient cells exists that integrates transcriptomics, proteomics and glycomics to gain an inclusive picture of theranostic targets. Methods: We have integrated transcriptomics, proteomics and glycomics to i) obtain the first inclusive picture of primary patient BCP-ALL cells and identify molecular signatures that distinguish leukemic from normal precursor B-cells and ii) better understand the benefits and limitations of the applied technologies to deliver deep molecular sequence data across major cellular biopolymers. Results: MLL-r cells feature an extensive remodeling of their glycocalyx, with increased levels of Core 2-type O-glycans and complex N-glycans as well as significant changes in sialylation and fucosylation. Notably, glycosaminoglycan remodeling from chondroitin sulfate to heparan sulfate was observed. A survival screen, to determine if glycan remodeling enzymes are redundant, identified MGAT1 and NGLY1, essential components of the N-glycosylation/degradation pathway, as highly relevant within this in vitro screening. OGT and OGA, unique enzymes that regulate intracellular O-GlcNAcylation, were also indispensable. Transcriptomics and proteomics further identified Fes and GALNT7-mediated glycosylation as possible therapeutic targets. While there is overall good correlation between transcriptomics and proteomics data, we demonstrate that a systematic combined multi-omics approach delivers important diagnostic information that is missed when applying a single omics technology. Conclusions: Apart from confirming well-known MLL-r BCP-ALL glycoprotein markers, our integrated multi-omics workflow discovered previously unidentified diagnostic/therapeutic protein targets.
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Affiliation(s)
- Tiago Oliveira
- Institute for Glycomics, Griffith University, Gold Coast Campus, QLD, Australia
| | - Mingfeng Zhang
- Department of Systems Biology, Beckman Research Institute City of Hope, Monrovia, CA, USA
| | - Eun Ji Joo
- Department of Systems Biology, Beckman Research Institute City of Hope, Monrovia, CA, USA
| | - Hisham Abdel-Azim
- Division of Hematology/Oncology and Bone Marrow Transplant, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Chun-Wei Chen
- Department of Systems Biology, Beckman Research Institute City of Hope, Monrovia, CA, USA
| | - Lu Yang
- Department of Systems Biology, Beckman Research Institute City of Hope, Monrovia, CA, USA
| | - Chih-Hsing Chou
- Division of Hematology/Oncology and Bone Marrow Transplant, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Xi Qin
- Department of Systems Biology, Beckman Research Institute City of Hope, Monrovia, CA, USA
| | - Jianjun Chen
- Department of Systems Biology, Beckman Research Institute City of Hope, Monrovia, CA, USA
| | - Kathirvel Alagesan
- Institute for Glycomics, Griffith University, Gold Coast Campus, QLD, Australia
| | - Andreia Almeida
- Institute for Glycomics, Griffith University, Gold Coast Campus, QLD, Australia
| | - Francis Jacob
- Glyco-Oncology, Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Nicolle H Packer
- Institute for Glycomics, Griffith University, Gold Coast Campus, QLD, Australia.,Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Griffith University, QLD and Macquarie University, NSW, Australia
| | - Mark von Itzstein
- Institute for Glycomics, Griffith University, Gold Coast Campus, QLD, Australia
| | - Nora Heisterkamp
- Department of Systems Biology, Beckman Research Institute City of Hope, Monrovia, CA, USA.,✉ Corresponding authors: Equal contributions of Nora Heisterkamp, E-mail: ; and Daniel Kolarich, E-mail:
| | - Daniel Kolarich
- Institute for Glycomics, Griffith University, Gold Coast Campus, QLD, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Griffith University, QLD and Macquarie University, NSW, Australia.,✉ Corresponding authors: Equal contributions of Nora Heisterkamp, E-mail: ; and Daniel Kolarich, E-mail:
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14
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Oliveira T, Thaysen-Andersen M, Packer NH, Kolarich D. The Hitchhiker's guide to glycoproteomics. Biochem Soc Trans 2021; 49:1643-1662. [PMID: 34282822 PMCID: PMC8421054 DOI: 10.1042/bst20200879] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 06/03/2021] [Accepted: 06/23/2021] [Indexed: 02/06/2023]
Abstract
Protein glycosylation is one of the most common post-translational modifications that are essential for cell function across all domains of life. Changes in glycosylation are considered a hallmark of many diseases, thus making glycoproteins important diagnostic and prognostic biomarker candidates and therapeutic targets. Glycoproteomics, the study of glycans and their carrier proteins in a system-wide context, is becoming a powerful tool in glycobiology that enables the functional analysis of protein glycosylation. This 'Hitchhiker's guide to glycoproteomics' is intended as a starting point for anyone who wants to explore the emerging world of glycoproteomics. The review moves from the techniques that have been developed for the characterisation of single glycoproteins to technologies that may be used for a successful complex glycoproteome characterisation. Examples of the variety of approaches, methodologies, and technologies currently used in the field are given. This review introduces the common strategies to capture glycoprotein-specific and system-wide glycoproteome data from tissues, body fluids, or cells, and a perspective on how integration into a multi-omics workflow enables a deep identification and characterisation of glycoproteins - a class of biomolecules essential in regulating cell function.
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Affiliation(s)
- Tiago Oliveira
- Institute for Glycomics, Griffith University, Gold Coast Campus, Gold Coast, Queensland, Australia
| | | | - Nicolle H. Packer
- Institute for Glycomics, Griffith University, Gold Coast Campus, Gold Coast, Queensland, Australia
- Department of Molecular Sciences, Macquarie University, Sydney, New South Wales, Australia
- ARC Centre of Excellence for Nanoscale BioPhotonics, Griffith University, QLD and Macquarie University, NSW, Australia
| | - Daniel Kolarich
- Institute for Glycomics, Griffith University, Gold Coast Campus, Gold Coast, Queensland, Australia
- ARC Centre of Excellence for Nanoscale BioPhotonics, Griffith University, QLD and Macquarie University, NSW, Australia
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15
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Coff L, Abrahams JL, Collett S, Power C, Nowak BF, Kolarich D, Bott NJ, Ramsland PA. Profiling the glycome of Cardicola forsteri, a blood fluke parasitic to bluefin tuna. Int J Parasitol 2021; 52:1-12. [PMID: 34391752 DOI: 10.1016/j.ijpara.2021.06.004] [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: 03/24/2021] [Revised: 06/16/2021] [Accepted: 06/17/2021] [Indexed: 11/05/2022]
Abstract
Infections by blood flukes (Cardicola spp.) are considered the most significant health issue for ranched bluefin tuna, a major aquaculture industry in Japan and Australia. The host-parasite interfaces of trematodes, namely their teguments, are particularly rich in carbohydrates, which function both in evasion and modulation of the host immune system, while some are primary antigenic targets. In this study, histochemistry and mass spectrometry techniques were used to profile the glycans of Cardicola forsteri. Fluorescent lectin staining of adult flukes indicates the presence of oligomannose (Concanavalin A-reactive) and fucosylated (Pisum sativum agglutinin-reactive) N-glycans. Additionally, reactivity of succinylated wheat germ agglutinin (s-WGA) was localised to several internal organs of the digestive and monoecious reproductive systems. Glycan structures were further investigated with tandem mass spectrometry, which revealed structures indicated by lectin reactivity. While O-glycans from these adult specimens were not detectable by mass spectrometry, several oligomannose, paucimannosidic, and complex-type N-glycans were identified, including some carrying hexuronic acid and many carrying core xylose. This is, to our knowledge, the first glycomic characterisation of a marine platyhelminth, with broader implications for research into other trematodes.
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Affiliation(s)
- Lachlan Coff
- School of Science, STEM College, RMIT University, Bundoora, VIC 3083, Australia
| | - Jodie L Abrahams
- Institute for Glycomics, Griffith University, Southport, QLD 4215, Australia
| | - Simon Collett
- School of Science, STEM College, RMIT University, Bundoora, VIC 3083, Australia
| | - Cecilia Power
- School of Science, STEM College, RMIT University, Bundoora, VIC 3083, Australia
| | - Barbara F Nowak
- School of Science, STEM College, RMIT University, Bundoora, VIC 3083, Australia; Institute for Marine and Antarctic Studies, University of Tasmania, Locked Bag 1370, Launceston, TAS 7250, Australia
| | - Daniel Kolarich
- Institute for Glycomics, Griffith University, Southport, QLD 4215, Australia; ARC Centre of Excellence for Nanoscale BioPhotonics, Griffith University, Southport, QLD 4215, Australia
| | - Nathan J Bott
- School of Science, STEM College, RMIT University, Bundoora, VIC 3083, Australia.
| | - Paul A Ramsland
- School of Science, STEM College, RMIT University, Bundoora, VIC 3083, Australia; Department of Immunology, Monash University, Melbourne, VIC 3004, Australia; Department of Surgery, Austin Health, University of Melbourne, Heidelberg, VIC 3084, Australia.
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16
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Matthies I, Abrahams JL, Jensen P, Oliveira T, Kolarich D, Larsen MR. N-Glycosylation in isolated rat nerve terminals. Mol Omics 2021; 17:517-532. [PMID: 34106099 DOI: 10.1039/d0mo00044b] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
N-linked glycosylation is a ubiquitous protein modification that is capable of modulating protein structure, function and interactions. Many proteins in the brain associated with the synapse and important for synaptic transmission are highly glycosylated and their glycosylation could be important for learning and memory related molecular processes and synaptic plasticity. In the present study, we extend the knowledge of the synaptic glycome and glycoproteome by performing glycan- and intact glycopeptide-focused analyses of isolated rat nerve terminals (synaptosomes) by LC-MS/MS. Overall, glycomics identified a total of 41 N-glycans in isolated synaptosomes. Sialylated N-glycans represented only 7% of the total abundance of the rat synaptosome N-glycome with oligomannose, neutral hybrid and complex type N-glycans being the most abundant structures. Using detergent extraction of the active zone proteins from the synaptosomes revealed a change in the active zone glycan abundance in comparison with the rest of the synaptosome glycan content. Characterization of intact sialylated N-linked glycopeptides enriched by titanium dioxide chromatography revealed more than 85% selectivity of sialylated species and the presence of NeuGc on active zone proteins. In addition, both disialic and trisialic acid modified glycans were present on synaptic glycoproteins, although oxonium ion profiling revealed that trisialic units were only present on glycoproteins in the detergent soluble fraction. However, correct identification of intact sialylated N-linked glycopeptides using the Byonic program failed, most likely due to the lack of peptide backbone fragmentation during tandem mass spectrometry.
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Affiliation(s)
- Inga Matthies
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Denmark
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17
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Abstract
The glycosylation process is extremely heterogeneous, dynamic, and complex compared with any other post-translational modification of protein. In the context of recombinant glycoproteins, glycosylation is a critical attribute as glycans could dramatically alter protein functions and properties including activity, half-life, in vivo localization, stability, and, last but not least, immunogenicity. Liquid chromatography combined to mass spectrometry constitutes the most powerful analytical approach to achieve the comprehensive glycan profile description or comparison of glycoproteins. This chapter details a versatile yet straightforward LC-MS approach for sample preparation, analysis, and data interpretation, enabling the evaluation of site-specific N-glycosylation of recombinant glycoproteins.
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18
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Kellman BP, Lewis NE. Big-Data Glycomics: Tools to Connect Glycan Biosynthesis to Extracellular Communication. Trends Biochem Sci 2021; 46:284-300. [PMID: 33349503 PMCID: PMC7954846 DOI: 10.1016/j.tibs.2020.10.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Revised: 10/05/2020] [Accepted: 10/22/2020] [Indexed: 12/12/2022]
Abstract
Characteristically, cells must sense and respond to environmental cues. Despite the importance of cell-cell communication, our understanding remains limited and often lacks glycans. Glycans decorate proteins and cell membranes at the cell-environment interface, and modulate intercellular communication, from development to pathogenesis. Providing further challenges, glycan biosynthesis and cellular behavior are co-regulating systems. Here, we discuss how glycosylation contributes to extracellular responses and signaling. We further organize approaches for disentangling the roles of glycans in multicellular interactions using newly available datasets and tools, including glycan biosynthesis models, omics datasets, and systems-level analyses. Thus, emerging tools in big data analytics and systems biology are facilitating novel insights on glycans and their relationship with multicellular behavior.
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Affiliation(s)
- Benjamin P Kellman
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego School of Medicine, La Jolla, CA, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego School of Medicine, La Jolla, CA, USA; Novo Nordisk Foundation Center for Biosustainability at the University of California San Diego School of Medicine, La Jolla, CA, USA.
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19
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Ferreira JA, Relvas-Santos M, Peixoto A, M N Silva A, Lara Santos L. Glycoproteogenomics: Setting the Course for Next-generation Cancer Neoantigen Discovery for Cancer Vaccines. GENOMICS, PROTEOMICS & BIOINFORMATICS 2021; 19:25-43. [PMID: 34118464 PMCID: PMC8498922 DOI: 10.1016/j.gpb.2021.03.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 01/25/2021] [Accepted: 03/01/2021] [Indexed: 12/24/2022]
Abstract
Molecular-assisted precision oncology gained tremendous ground with high-throughput next-generation sequencing (NGS), supported by robust bioinformatics. The quest for genomics-based cancer medicine set the foundations for improved patient stratification, while unveiling a wide array of neoantigens for immunotherapy. Upfront pre-clinical and clinical studies have successfully used tumor-specific peptides in vaccines with minimal off-target effects. However, the low mutational burden presented by many lesions challenges the generalization of these solutions, requiring the diversification of neoantigen sources. Oncoproteogenomics utilizing customized databases for protein annotation by mass spectrometry (MS) is a powerful tool toward this end. Expanding the concept toward exploring proteoforms originated from post-translational modifications (PTMs) will be decisive to improve molecular subtyping and provide potentially targetable functional nodes with increased cancer specificity. Walking through the path of systems biology, we highlight that alterations in protein glycosylation at the cell surface not only have functional impact on cancer progression and dissemination but also originate unique molecular fingerprints for targeted therapeutics. Moreover, we discuss the outstanding challenges required to accommodate glycoproteomics in oncoproteogenomics platforms. We envisage that such rationale may flag a rather neglected research field, generating novel paradigms for precision oncology and immunotherapy.
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Affiliation(s)
- José Alexandre Ferreira
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto 4200-072, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto 4050-313, Portugal; Porto Comprehensive Cancer Center (P.ccc), Porto 4200-072, Portugal.
| | - Marta Relvas-Santos
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto 4200-072, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto 4050-313, Portugal; REQUIMTE-LAQV, Department of Chemistry and Biochemistry, Faculty of Sciences of the University of Porto, Porto 4169-007, Portugal
| | - Andreia Peixoto
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto 4200-072, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto 4050-313, Portugal
| | - André M N Silva
- REQUIMTE-LAQV, Department of Chemistry and Biochemistry, Faculty of Sciences of the University of Porto, Porto 4169-007, Portugal
| | - Lúcio Lara Santos
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto 4200-072, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto 4050-313, Portugal; Porto Comprehensive Cancer Center (P.ccc), Porto 4200-072, Portugal
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20
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Thaysen-Andersen M, Kolarich D, Packer NH. Glycomics & Glycoproteomics: From Analytics to Function. Mol Omics 2020; 17:8-10. [PMID: 33295916 DOI: 10.1039/d0mo90019b] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Morten Thaysen-Andersen, Daniel Kolarich and Nicolle H. Packer introduce the Molecular Omics themed issue on Glycomics & Glycoproteomics: From Analytics to Function.
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21
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Liu H, Liang Q, Sharp JS. Peracylation Coupled with Tandem Mass Spectrometry for Structural Sequencing of Sulfated Glycosaminoglycan Mixtures without Depolymerization. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:2061-2072. [PMID: 32902282 PMCID: PMC7664153 DOI: 10.1021/jasms.0c00178] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
The structures of glycosaminoglycans (GAGs), especially the patterns of modification, are crucial to modulate interactions with various protein targets. It is very challenging to determine the fine structures using liquid chromatography-mass spectrometry (LC-MS) due in large part to the gas-phase sulfate losses upon collisional activation. Previously, our group reported a method for fine structure analysis that required permethylation of the GAG oligosaccharide. However, uncontrolled depolymerization during the permethylation process due to esterification of uronic acid lowers the reliability of the method to resolve structures of GAGs, especially for larger oligosaccharides. Here, we describe a simplified derivatization method using propionylation and desulfation. The oligosaccharides have all hydroxyl and amine groups protected with propionyl groups and then have sulfate groups removed to generate unprotected hydroxyl and amine groups at all sites that were previously sulfated. This derivatized oligosaccharide generates informative fragments during collision-induced dissociation that resolve the original sulfation patterns. This method is demonstrated to enable accurate determination of sulfation patterns of even the highly sulfated pentasaccharide fondaparinux by MS2 and MS3. Using a mixture of dp6 from porcine heparin, we demonstrate that this method allows for structural characterization of complex mixtures, including clear chromatographic separation and sequencing of structural isomers, all at high yields without evidence of depolymerization. This represents a marked improvement in the reliability to structurally characterize GAG oligosaccharides over permethylation-based derivatization schemes.
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Affiliation(s)
- Hao Liu
- Department of BioMolecular Sciences, University of Mississippi, Oxford, MS 38677, USA
| | - Quntao Liang
- College of Biological Science and Engineering, University of Fuzhou, Fujian, 350108, China
| | - Joshua S. Sharp
- Department of BioMolecular Sciences, University of Mississippi, Oxford, MS 38677, USA
- Department of Chemistry and Biochemistry, University of Mississippi, Oxford, MS 38677, USA
- Correspondence and requests for materials should be addressed to J.S.S. ()
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22
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Wang Q, Bhattarai M, Zhao P, Alnsour T, Held M, Faik A, Chen H. Fast and Sensitive Detection of Oligosaccharides Using Desalting Paper Spray Mass Spectrometry (DPS-MS). JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:2226-2235. [PMID: 32910855 PMCID: PMC8189650 DOI: 10.1021/jasms.0c00310] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Conventional mass spectrometry (MS)-based analytical methods for small carbohydrate fragments (oligosaccharides, degree of polymerization 2-12) are time-consuming due to the need for an offline sample pretreatment such as desalting. Herein, we report a new paper spray ionization method, named desalting paper spray (DPS), which employs a piece of triangular filter paper for both sample desalting and ionization. Unlike regular paper spray ionization (PSI) and nanoelectrospray ionization (nanoESI), DPS-MS allows fast and sensitive detection of oligosaccharides in biological samples having complex matrices (e.g., Tris, PBS, HEPES buffers, or urine). When an oligosaccharide sample is loaded onto the filter paper substrate (10 × 5 mm, height × base) made mostly of cellulose, oligosaccharides are adsorbed on the paper via hydrophilic interactions with cellulose. Salts and buffers can be washed away using an ACN/H2O (90/10 v/v) solution, while oligosaccharides can be eluted from the paper using a solution of ACN/H2O/formic acid (FA) (10/90/1 v/v/v) and directly spray-ionized from the tip of the paper. Various saccharides at trace levels (e.g., 50 fmol) in nonvolatile buffer can be quickly analyzed by DPS-MS (<5 min per sample). DPS-MS is also applicable for direct detection of oligosaccharides from glycosyltransferase (GT) reactions, a challenging task that typically requires a radioactive assay. Quantitative analysis of acceptor and product oligosaccharides shows increased product with increased GT enzymes used for the reaction, a result in line with the radioactivity assay. This work suggests that DPS-MS has potential for rapid oligosaccharide analysis from biological samples.
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Affiliation(s)
- Qi Wang
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey
| | - Matrika Bhattarai
- Department of Environmental and Plant Biology & Molecular and Cellular Biology Program, Ohio University, Athens, Ohio
| | - Pengyi Zhao
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey
| | - Tariq Alnsour
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey
| | - Michael Held
- Deparment of Chemistry and Biochemistry, Ohio University, Athens, Ohio
- Corresponding Authors: Hao Chen - Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey. , Ahmed Faik – Department of Environmental and Plant Biology, Ohio University, Athens, Ohio. , Michael Held – Department of Chemistry and Biochemistry, Ohio University, Athens, Ohio.
| | - Ahmed Faik
- Department of Environmental and Plant Biology & Molecular and Cellular Biology Program, Ohio University, Athens, Ohio
- Corresponding Authors: Hao Chen - Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey. , Ahmed Faik – Department of Environmental and Plant Biology, Ohio University, Athens, Ohio. , Michael Held – Department of Chemistry and Biochemistry, Ohio University, Athens, Ohio.
| | - Hao Chen
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey
- Corresponding Authors: Hao Chen - Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey. , Ahmed Faik – Department of Environmental and Plant Biology, Ohio University, Athens, Ohio. , Michael Held – Department of Chemistry and Biochemistry, Ohio University, Athens, Ohio.
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23
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Cipollo JF, Parsons LM. Glycomics and glycoproteomics of viruses: Mass spectrometry applications and insights toward structure-function relationships. MASS SPECTROMETRY REVIEWS 2020; 39:371-409. [PMID: 32350911 PMCID: PMC7318305 DOI: 10.1002/mas.21629] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 04/01/2020] [Accepted: 04/05/2020] [Indexed: 05/21/2023]
Abstract
The advancement of viral glycomics has paralleled that of the mass spectrometry glycomics toolbox. In some regard the glycoproteins studied have provided the impetus for this advancement. Viral proteins are often highly glycosylated, especially those targeted by the host immune system. Glycosylation tends to be dynamic over time as viruses propagate in host populations leading to increased number of and/or "movement" of glycosylation sites in response to the immune system and other pressures. This relationship can lead to highly glycosylated, difficult to analyze glycoproteins that challenge the capabilities of modern mass spectrometry. In this review, we briefly discuss five general areas where glycosylation is important in the viral niche and how mass spectrometry has been used to reveal key information regarding structure-function relationships between viral glycoproteins and host cells. We describe the recent past and current glycomics toolbox used in these analyses and give examples of how the requirement to analyze these complex glycoproteins has provided the incentive for some advances seen in glycomics mass spectrometry. A general overview of viral glycomics, special cases, mass spectrometry methods and work-flows, informatics and complementary chemical techniques currently used are discussed. © 2020 The Authors. Mass Spectrometry Reviews published by John Wiley & Sons Ltd. Mass Spec Rev.
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Affiliation(s)
- John F. Cipollo
- Center for Biologics Evaluation and Research, Food and Drug AdministrationSilver SpringMaryland
| | - Lisa M. Parsons
- Center for Biologics Evaluation and Research, Food and Drug AdministrationSilver SpringMaryland
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24
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Fernandes E, Sores J, Cotton S, Peixoto A, Ferreira D, Freitas R, Reis CA, Santos LL, Ferreira JA. Esophageal, gastric and colorectal cancers: Looking beyond classical serological biomarkers towards glycoproteomics-assisted precision oncology. Am J Cancer Res 2020; 10:4903-4928. [PMID: 32308758 PMCID: PMC7163443 DOI: 10.7150/thno.42480] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 01/16/2020] [Indexed: 12/24/2022] Open
Abstract
Esophageal (OC), gastric (GC) and colorectal (CRC) cancers are amongst the digestive track tumors with higher incidence and mortality due to significant molecular heterogeneity. This constitutes a major challenge for patients' management at different levels, including non-invasive detection of the disease, prognostication, therapy selection, patient's follow-up and the introduction of improved and safer therapeutics. Nevertheless, important milestones have been accomplished pursuing the goal of molecular-based precision oncology. Over the past five years, high-throughput technologies have been used to interrogate tumors of distinct clinicopathological natures, generating large-scale biological datasets (e.g. genomics, transcriptomics, and proteomics). As a result, GC and CRC molecular subtypes have been established to assist patient stratification in the clinical settings. However, such molecular panels still require refinement and are yet to provide targetable biomarkers. In parallel, outstanding advances have been made regarding targeted therapeutics and immunotherapy, paving the way for improved patient care; nevertheless, important milestones towards treatment personalization and reduced off-target effects are also to be accomplished. Exploiting the cancer glycoproteome for unique molecular fingerprints generated by dramatic alterations in protein glycosylation may provide the necessary molecular rationale towards this end. Therefore, this review presents functional and clinical evidences supporting a reinvestigation of classical serological glycan biomarkers such as sialyl-Tn (STn) and sialyl-Lewis A (SLeA) antigens from a tumor glycoproteomics perspective. We anticipate that these glycobiomarkers that have so far been employed in non-invasive cancer prognostication may hold unexplored value for patients' management in precision oncology settings.
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25
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Abrahams JL, Taherzadeh G, Jarvas G, Guttman A, Zhou Y, Campbell MP. Recent advances in glycoinformatic platforms for glycomics and glycoproteomics. Curr Opin Struct Biol 2019; 62:56-69. [PMID: 31874386 DOI: 10.1016/j.sbi.2019.11.009] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Revised: 11/05/2019] [Accepted: 11/15/2019] [Indexed: 12/16/2022]
Abstract
Protein glycosylation is the most complex and prevalent post-translation modification in terms of the number of proteins modified and the diversity generated. To understand the functional roles of glycoproteins it is important to gain an insight into the repertoire of oligosaccharides present. The comparison and relative quantitation of glycoforms combined with site-specific identification and occupancy are necessary steps in this direction. Computational platforms have continued to mature assisting researchers with the interpretation of such glycomics and glycoproteomics data sets, but frequently support dedicated workflows and users rely on the manual interpretation of data to gain insights into the glycoproteome. The growth of site-specific knowledge has also led to the implementation of machine-learning algorithms to predict glycosylation which is now being integrated into glycoproteomics pipelines. This short review describes commercial and open-access databases and software with an emphasis on those that are actively maintained and designed to support current analytical workflows.
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Affiliation(s)
- Jodie L Abrahams
- Institute for Glycomics, Griffith University, Gold Coast, QLD, Australia
| | - Ghazaleh Taherzadeh
- School of Information and Communication Technology, Griffith University, Gold Coast, QLD, Australia
| | - Gabor Jarvas
- Translational Glycomics Research Group, Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, Veszprém, Hungary; Horváth Csaba Laboratory of Bioseparation Sciences, Research Centre for Molecular Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Andras Guttman
- Translational Glycomics Research Group, Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, Veszprém, Hungary; Horváth Csaba Laboratory of Bioseparation Sciences, Research Centre for Molecular Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary; SCIEX, Brea, CA, USA
| | - Yaoqi Zhou
- School of Information and Communication Technology, Griffith University, Gold Coast, QLD, Australia
| | - Matthew P Campbell
- Institute for Glycomics, Griffith University, Gold Coast, QLD, Australia.
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26
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McQuillan AM, Byrd-Leotis L, Heimburg-Molinaro J, Cummings RD. Natural and Synthetic Sialylated Glycan Microarrays and Their Applications. Front Mol Biosci 2019; 6:88. [PMID: 31572731 PMCID: PMC6753469 DOI: 10.3389/fmolb.2019.00088] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 08/28/2019] [Indexed: 12/28/2022] Open
Abstract
This focused chapter serves as a short survey of glycan microarrays that are available with sialylated glycans, including both defined and shotgun arrays, their generation, and their utility in studying differential binding interactions to sialylated compounds, highlighting N-glycolyl (Gc) modified sialylated compounds. A brief discussion of binding interactions by lectins, antibodies, and viruses, and their relevance that have been observed with sialylated glycan microarrays is presented, as well as a discussion of cross-comparisons of array platforms and efforts to centralize and standardize the glycan microarray data.
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Affiliation(s)
- Alyssa M. McQuillan
- Department of Surgery, Beth Israel Deaconess Medical Center, National Center for Functional Glycomics, Harvard Medical School, Boston, MA, United States
| | - Lauren Byrd-Leotis
- Department of Surgery, Beth Israel Deaconess Medical Center, National Center for Functional Glycomics, Harvard Medical School, Boston, MA, United States
- Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, GA, United States
| | - Jamie Heimburg-Molinaro
- Department of Surgery, Beth Israel Deaconess Medical Center, National Center for Functional Glycomics, Harvard Medical School, Boston, MA, United States
| | - Richard D. Cummings
- Department of Surgery, Beth Israel Deaconess Medical Center, National Center for Functional Glycomics, Harvard Medical School, Boston, MA, United States
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Rojas-Macias MA, Mariethoz J, Andersson P, Jin C, Venkatakrishnan V, Aoki NP, Shinmachi D, Ashwood C, Madunic K, Zhang T, Miller RL, Horlacher O, Struwe WB, Watanabe Y, Okuda S, Levander F, Kolarich D, Rudd PM, Wuhrer M, Kettner C, Packer NH, Aoki-Kinoshita KF, Lisacek F, Karlsson NG. Towards a standardized bioinformatics infrastructure for N- and O-glycomics. Nat Commun 2019; 10:3275. [PMID: 31332201 PMCID: PMC6796180 DOI: 10.1038/s41467-019-11131-x] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 06/24/2019] [Indexed: 12/21/2022] Open
Abstract
The mass spectrometry (MS)-based analysis of free polysaccharides and glycans released from proteins, lipids and proteoglycans increasingly relies on databases and software. Here, we review progress in the bioinformatics analysis of protein-released N- and O-linked glycans (N- and O-glycomics) and propose an e-infrastructure to overcome current deficits in data and experimental transparency. This workflow enables the standardized submission of MS-based glycomics information into the public repository UniCarb-DR. It implements the MIRAGE (Minimum Requirement for A Glycomics Experiment) reporting guidelines, storage of unprocessed MS data in the GlycoPOST repository and glycan structure registration using the GlyTouCan registry, thereby supporting the development and extension of a glycan structure knowledgebase.
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Affiliation(s)
- Miguel A Rojas-Macias
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Julien Mariethoz
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
- Computer Science Department, University of Geneva, Geneva, 1227, Switzerland
| | - Peter Andersson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Chunsheng Jin
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Vignesh Venkatakrishnan
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Nobuyuki P Aoki
- Soka University, Hachioji, 192-8577, Tokyo, Japan
- SparqLite LLC., Hachioji, 192-0032, Tokyo, Japan
| | - Daisuke Shinmachi
- Soka University, Hachioji, 192-8577, Tokyo, Japan
- SparqLite LLC., Hachioji, 192-0032, Tokyo, Japan
| | - Christopher Ashwood
- Department of Molecular Sciences, Macquarie University, Sydney, 2109, Australia
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | | | - Tao Zhang
- Leiden University Medical Center, Leiden, 2333ZA, Netherlands
| | - Rebecca L Miller
- Copenhagen Centre for Glycomics, Department of Cellular and Molecular Medicine, University of Copenhagen, København, DK-2200, Denmark
| | - Oliver Horlacher
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
| | - Weston B Struwe
- Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, OX1 3TA, UK
| | - Yu Watanabe
- Graduate School of Medical and Dental Sciences, Niigata University, 950-2181, Niigata, Japan
| | - Shujiro Okuda
- Graduate School of Medical and Dental Sciences, Niigata University, 950-2181, Niigata, Japan
| | - Fredrik Levander
- National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Department of Immunotechnology, Lund University, Lund, 22387, Sweden
| | - Daniel Kolarich
- Institute for Glycomics, Gold Coast Campus, Griffith University, Gold Coast, QLD, QLD 4222, Australia
- ARC Centre for Nanoscale BioPhotonics, Macquarie University and Griffith University, North Ryde and Gold Coast, NSW and QLD, NSW 2109 and QLD 4222, Australia
| | - Pauline M Rudd
- Bioprocessing Technology Institute, AStar, Singapore, 138668, Singapore
| | - Manfred Wuhrer
- Leiden University Medical Center, Leiden, 2333ZA, Netherlands
| | | | - Nicolle H Packer
- Department of Molecular Sciences, Macquarie University, Sydney, 2109, Australia
- Institute for Glycomics, Gold Coast Campus, Griffith University, Gold Coast, QLD, QLD 4222, Australia
- ARC Centre for Nanoscale BioPhotonics, Macquarie University and Griffith University, North Ryde and Gold Coast, NSW and QLD, NSW 2109 and QLD 4222, Australia
| | | | - Frédérique Lisacek
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
- Computer Science Department, University of Geneva, Geneva, 1227, Switzerland
- Section of Biology, University of Geneva, Geneva, 1211, Switzerland
| | - Niclas G Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden.
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28
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Ashwood C, Pratt B, MacLean BX, Gundry RL, Packer NH. Standardization of PGC-LC-MS-based glycomics for sample specific glycotyping. Analyst 2019; 144:3601-3612. [PMID: 31065629 DOI: 10.1039/c9an00486f] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Porous graphitized carbon (PGC) based chromatography achieves high-resolution separation of glycan structures released from glycoproteins. This approach is especially valuable when resolving structurally similar isomers and for discovery of novel and/or sample-specific glycan structures. However, the implementation of PGC-based separations in glycomics studies has been limited because system-independent retention values have not been established to normalize technical variation. To address this limitation, this study combined the use of hydrolyzed dextran as an internal standard and Skyline software for post-acquisition normalization to reduce retention time and peak area technical variation in PGC-based glycan analyses. This approach allowed assignment of system-independent retention values that are applicable to typical PGC-based glycan separations and supported the construction of a library containing >300 PGC-separated glycan structures with normalized glucose unit (GU) retention values. To enable the automation of this normalization method, a spectral MS/MS library was developed of the dextran ladder, achieving confident discrimination against isomeric glycans. The utility of this approach is demonstrated in two ways. First, to inform the search space for bioinformatically predicted but unobserved glycan structures, predictive models for two structural modifications, core-fucosylation and bisecting GlcNAc, were developed based on the GU library. Second, the applicability of this method for the analysis of complex biological samples is evidenced by the ability to discriminate between cell culture and tissue sample types by the normalized intensity of N-glycan structures alone. Overall, the methods and data described here are expected to support the future development of more automated approaches to glycan identification and quantitation.
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Affiliation(s)
- Christopher Ashwood
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia. and ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, Sydney, NSW, Australia and Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Brian Pratt
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Brendan X MacLean
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Rebekah L Gundry
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA and Center for Biomedical Mass Spectrometry Research, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Nicolle H Packer
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia. and ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, Sydney, NSW, Australia
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