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O’Flaherty R, Amez Martín M, Gardner RA, Jennings PM, Rudd PM, Spencer DIR, Falck D. Erythropoietin N-glycosylation of Therapeutic Formulations Quantified and Characterized: An Interlab Comparability Study of High-Throughput Methods. Biomolecules 2024; 14:125. [PMID: 38254725 PMCID: PMC10813422 DOI: 10.3390/biom14010125] [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: 12/20/2023] [Revised: 01/05/2024] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
Recombinant human erythropoietin (EPO) is a biopharmaceutical frequently used in the treatment of anemia. It is a heavily glycosylated protein with a diverse and complex glycome. EPO N-glycosylation influences important pharmacological parameters, prominently serum half-life. Therefore, EPO N-glycosylation analysis is of the utmost importance in terms of controlling critical quality attributes. In this work, we performed an interlaboratory study of glycoanalytical techniques for profiling and in-depth characterization, namely (1) hydrophilic interaction liquid chromatography with fluorescence detection after 2-aminobenzamide labeling (HILIC-FLD(2AB)) and optional weak anion exchange chromatography (WAX) fractionation and exoglycosidase digestion, (2) HILIC-FLD after procainamide labeling (PROC) optionally coupled to electrospray ionization-MS and (3) matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-MS). All techniques showed good precision and were able to differentiate the unique N-glycosylation profiles of the various EPO preparations. HILIC-FLD showed higher precision, while MALDI-TOF-MS covered the most analytes. However, HILIC-FLD differentiated isomeric N-glycans, i.e., N-acetyllactosamine repeats and O-acetylation regioisomers. For routine profiling, HILIC-FLD methods are more accessible and cover isomerism in major structures, while MALDI-MS covers more minor analytes with an attractively high throughput. For in-depth characterization, MALDI-MS and HILIC-FLD(2AB)/WAX give a similar amount of orthogonal information. HILIC-FLD(PROC)-MS is attractive for covering isomerism of major structures with a significantly less extensive workflow compared to HILIC-FLD(2AB)/WAX.
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Affiliation(s)
- Róisín O’Flaherty
- National Institute for Bioprocessing, Research and Training, Fosters Avenue, Blackrock, A94 X099 Dublin, Ireland (P.M.J.)
- Department of Chemistry, Maynooth University, W23 F2K8 Maynooth, Ireland
| | - Manuela Amez Martín
- Ludger Ltd., Culham Science Centre, Abingdon OX14 3EB, UK; (M.A.M.); (R.A.G.); (D.I.R.S.)
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Richard A. Gardner
- Ludger Ltd., Culham Science Centre, Abingdon OX14 3EB, UK; (M.A.M.); (R.A.G.); (D.I.R.S.)
| | - Patrick M. Jennings
- National Institute for Bioprocessing, Research and Training, Fosters Avenue, Blackrock, A94 X099 Dublin, Ireland (P.M.J.)
| | - Pauline M. Rudd
- National Institute for Bioprocessing, Research and Training, Fosters Avenue, Blackrock, A94 X099 Dublin, Ireland (P.M.J.)
| | - Daniel I. R. Spencer
- Ludger Ltd., Culham Science Centre, Abingdon OX14 3EB, UK; (M.A.M.); (R.A.G.); (D.I.R.S.)
| | - David Falck
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
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Lado-Baleato Ó, Torre J, O’Flaherty R, Alonso-Sampedro M, Carballo I, Fernández-Merino C, Vidal C, Gude F, Saldova R, González-Quintela A. Age-Related Changes in Serum N-Glycome in Men and Women-Clusters Associated with Comorbidity. Biomolecules 2023; 14:17. [PMID: 38254617 PMCID: PMC10813383 DOI: 10.3390/biom14010017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/17/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
(1) Aim: To describe, in a general adult population, the serum N-glycome in relation to age in men and women, and investigate the association of N-glycome patterns with age-related comorbidity; (2) Methods: The serum N-glycome was studied by hydrophilic interaction chromatography with ultra-performance liquid chromatography in 1516 randomly selected adults (55.3% women; age range 18-91 years). Covariates included lifestyle factors, metabolic disorders, inflammatory markers, and an index of comorbidity. Principal component analysis was used to define clusters of individuals based on the 46 glycan peaks obtained in chromatograms; (3) Results: The serum N-glycome changed with ageing, with significant differences between men and women, both in individual N-glycan peaks and in groups defined by common features (branching, galactosylation, sialylation, fucosylation, and oligomannose). Through K-means clustering algorithm, the individuals were grouped into a cluster characterized by abundance of simpler N-glycans and a cluster characterized by abundance of higher-order N-glycans. The individuals of the first cluster were older, showed higher concentrations of glucose and glycation markers, higher levels of some inflammatory markers, lower glomerular filtration rate, and greater comorbidity index; (4) Conclusions: The serum N-glycome changes with ageing with sex dimorphism. The N-glycome could be, in line with the inflammaging hypothesis, a marker of unhealthy aging.
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Affiliation(s)
- Óscar Lado-Baleato
- Research Methodology Group, Health Research Institute of Santiago de Compostela (IDIS), Galician Health Service, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain; (Ó.L.-B.); (J.T.); (M.A.-S.); (I.C.); (C.F.-M.); (C.V.); (F.G.)
- ISCIII Support Platforms for Clinical Research, Health Research Institute of Santiago de Compostela (IDIS), Galician Health Service, University of Santiago de Compostel, 15706 Santiago de Compostela, Spain
| | - Jorge Torre
- Research Methodology Group, Health Research Institute of Santiago de Compostela (IDIS), Galician Health Service, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain; (Ó.L.-B.); (J.T.); (M.A.-S.); (I.C.); (C.F.-M.); (C.V.); (F.G.)
| | - Róisín O’Flaherty
- GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, A94 X099 Dublin, Ireland (R.S.)
- Department of Chemistry, Maynooth University, W23 F2K8 Maynooth, Ireland
| | - Manuela Alonso-Sampedro
- Research Methodology Group, Health Research Institute of Santiago de Compostela (IDIS), Galician Health Service, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain; (Ó.L.-B.); (J.T.); (M.A.-S.); (I.C.); (C.F.-M.); (C.V.); (F.G.)
| | - Iago Carballo
- Research Methodology Group, Health Research Institute of Santiago de Compostela (IDIS), Galician Health Service, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain; (Ó.L.-B.); (J.T.); (M.A.-S.); (I.C.); (C.F.-M.); (C.V.); (F.G.)
| | - Carmen Fernández-Merino
- Research Methodology Group, Health Research Institute of Santiago de Compostela (IDIS), Galician Health Service, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain; (Ó.L.-B.); (J.T.); (M.A.-S.); (I.C.); (C.F.-M.); (C.V.); (F.G.)
- Primary Care, Santiago de Compostela Area, 15706 Santiago de Compostela, Spain
| | - Carmen Vidal
- Research Methodology Group, Health Research Institute of Santiago de Compostela (IDIS), Galician Health Service, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain; (Ó.L.-B.); (J.T.); (M.A.-S.); (I.C.); (C.F.-M.); (C.V.); (F.G.)
| | - Francisco Gude
- Research Methodology Group, Health Research Institute of Santiago de Compostela (IDIS), Galician Health Service, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain; (Ó.L.-B.); (J.T.); (M.A.-S.); (I.C.); (C.F.-M.); (C.V.); (F.G.)
- Primary Care, Santiago de Compostela Area, 15706 Santiago de Compostela, Spain
| | - Radka Saldova
- GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, A94 X099 Dublin, Ireland (R.S.)
- UCD School of Medicine, College of Health and Agricultural Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Arturo González-Quintela
- Research Methodology Group, Health Research Institute of Santiago de Compostela (IDIS), Galician Health Service, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain; (Ó.L.-B.); (J.T.); (M.A.-S.); (I.C.); (C.F.-M.); (C.V.); (F.G.)
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McDowell CT, Lu X, Mehta AS, Angel PM, Drake RR. Applications and continued evolution of glycan imaging mass spectrometry. MASS SPECTROMETRY REVIEWS 2023; 42:674-705. [PMID: 34392557 PMCID: PMC8946722 DOI: 10.1002/mas.21725] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/16/2021] [Accepted: 08/03/2021] [Indexed: 05/03/2023]
Abstract
Glycosylation is an important posttranslational modifier of proteins and lipid conjugates critical for the stability and function of these macromolecules. Particularly important are N-linked glycans attached to asparagine residues in proteins. N-glycans have well-defined roles in protein folding, cellular trafficking and signal transduction, and alterations to them are implicated in a variety of diseases. However, the non-template driven biosynthesis of these N-glycans leads to significant structural diversity, making it challenging to identify the most biologically and clinically relevant species using conventional analyses. Advances in mass spectrometry instrumentation and data acquisition, as well as in enzymatic and chemical sample preparation strategies, have positioned mass spectrometry approaches as powerful analytical tools for the characterization of glycosylation in health and disease. Imaging mass spectrometry expands upon these strategies by capturing the spatial component of a glycan's distribution in-situ, lending additional insight into the organization and function of these molecules. Herein we review the ongoing evolution of glycan imaging mass spectrometry beginning with widely adopted tissue imaging approaches and expanding to other matrices and sample types with potential research and clinical implications. Adaptations of these techniques, along with their applications to various states of disease, are discussed. Collectively, glycan imaging mass spectrometry analyses broaden our understanding of the biological and clinical relevance of N-glycosylation to human disease.
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Affiliation(s)
- Colin T. McDowell
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Xiaowei Lu
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Anand S. Mehta
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Peggi M. Angel
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Richard R. Drake
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina, Charleston, SC, 29425, USA
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Patabandige MW, Pfeifer LD, Nguyen HT, Desaire H. Quantitative clinical glycomics strategies: A guide for selecting the best analysis approach. MASS SPECTROMETRY REVIEWS 2022; 41:901-921. [PMID: 33565652 PMCID: PMC8601598 DOI: 10.1002/mas.21688] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 12/13/2020] [Accepted: 01/24/2021] [Indexed: 05/05/2023]
Abstract
Glycans introduce complexity to the proteins to which they are attached. These modifications vary during the progression of many diseases; thus, they serve as potential biomarkers for disease diagnosis and prognosis. The immense structural diversity of glycans makes glycosylation analysis and quantitation difficult. Fortunately, recent advances in analytical techniques provide the opportunity to quantify even low-abundant glycopeptides and glycans derived from complex biological mixtures, allowing for the identification of glycosylation differences between healthy samples and those derived from disease states. Understanding the strengths and weaknesses of different quantitative glycomics analysis methods is important for selecting the best strategy to analyze glycosylation changes in any given set of clinical samples. To provide guidance towards selecting the proper approach, we discuss four widely used quantitative glycomics analysis platforms, including fluorescence-based analysis of released N-linked glycans and three different varieties of MS-based analysis: liquid chromatography (LC)-mass spectrometry (MS) analysis of glycopeptides, matrix-assisted laser desorption ionization-time of flight MS, and LC-ESI-MS analysis of released N-linked glycans. These methods' strengths and weaknesses are compared, particularly associated with the figures of merit that are important for clinical biomarker studies, including: the initial sample requirements, the methods' throughput, sample preparation time, the number of species identified, the methods' utility for isomer separation and structural characterization, method-related challenges associated with quantitation, repeatability, the expertise required, and the cost for each analysis. This review, therefore, provides unique guidance to researchers who endeavor to undertake a clinical glycomics analysis by offering insights on the available analysis technologies.
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Affiliation(s)
- Milani Wijeweera Patabandige
- Ralph N. Adams Institute for Bioanalytical Chemistry, Department of Chemistry, University of Kansas, Lawrence, KS 66047, United States
| | - Leah D. Pfeifer
- Ralph N. Adams Institute for Bioanalytical Chemistry, Department of Chemistry, University of Kansas, Lawrence, KS 66047, United States
| | - Hanna T. Nguyen
- Ralph N. Adams Institute for Bioanalytical Chemistry, Department of Chemistry, University of Kansas, Lawrence, KS 66047, United States
| | - Heather Desaire
- Ralph N. Adams Institute for Bioanalytical Chemistry, Department of Chemistry, University of Kansas, Lawrence, KS 66047, United States
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Petralia LMC, Santha E, Behrens AJ, Nguyen DL, Ganatra MB, Taron CH, Khatri V, Kalyanasundaram R, van Diepen A, Hokke CH, Foster JM. Alteration of rhesus macaque serum N-glycome during infection with the human parasitic filarial nematode Brugia malayi. Sci Rep 2022; 12:15763. [PMID: 36131114 PMCID: PMC9491660 DOI: 10.1038/s41598-022-19964-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/07/2022] [Indexed: 11/09/2022] Open
Abstract
Serum N-glycan profiling studies during the past decades have shown robust associations between N-glycan changes and various biological conditions, including infections, in humans. Similar studies are scarcer for other mammals, despite the tremendous potential of serum N-glycans as biomarkers for infectious diseases in animal models of human disease and in the veterinary context. To expand the knowledge of serum N-glycan profiles in important mammalian model systems, in this study, we combined MALDI-TOF-MS analysis and HILIC-UPLC profiling of released N-glycans together with glycosidase treatments to characterize the glycan structures present in rhesus macaque serum. We used this baseline to monitor changes in serum N-glycans during infection with Brugia malayi, a parasitic nematode of humans responsible for lymphatic filariasis, in a longitudinal cohort of infected rhesus macaques. Alterations of the HILIC-UPLC profile, notably of abundant structures, became evident as early as 5 weeks post-infection. Given its prominent role in the immune response, contribution of immunoglobulin G to serum N-glycans was investigated. Finally, comparison with similar N-glycan profiling performed during infection with the dog heartworm Dirofilaria immitis suggests that many changes observed in rhesus macaque serum N-glycans are specific for lymphatic filariasis.
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Affiliation(s)
- Laudine M C Petralia
- Division of Protein Expression and Modification, New England Biolabs, Ipswich, MA, 01938, USA.
- Department of Parasitology, Center of Infectious Diseases, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands.
| | - Esrath Santha
- Division of Protein Expression and Modification, New England Biolabs, Ipswich, MA, 01938, USA
| | - Anna-Janina Behrens
- Division of Protein Expression and Modification, New England Biolabs, Ipswich, MA, 01938, USA
| | - D Linh Nguyen
- Department of Parasitology, Center of Infectious Diseases, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Mehul B Ganatra
- Division of Protein Expression and Modification, New England Biolabs, Ipswich, MA, 01938, USA
| | - Christopher H Taron
- Division of Protein Expression and Modification, New England Biolabs, Ipswich, MA, 01938, USA
| | - Vishal Khatri
- Department of Biomedical Sciences, University of Illinois College of Medicine at Rockford, Rockford, IL, USA
| | - Ramaswamy Kalyanasundaram
- Department of Biomedical Sciences, University of Illinois College of Medicine at Rockford, Rockford, IL, USA
| | - Angela van Diepen
- Department of Parasitology, Center of Infectious Diseases, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Cornelis H Hokke
- Department of Parasitology, Center of Infectious Diseases, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Jeremy M Foster
- Division of Protein Expression and Modification, New England Biolabs, Ipswich, MA, 01938, USA.
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Changes in Serum N-Glycome for Risk Drinkers: A Comparison with Standard Markers for Alcohol Abuse in Men and Women. Biomolecules 2022; 12:biom12020241. [PMID: 35204742 PMCID: PMC8961540 DOI: 10.3390/biom12020241] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 01/26/2022] [Accepted: 01/27/2022] [Indexed: 01/11/2023] Open
Abstract
Background and aim: Glycomic alterations serve as biomarker tools for different diseases. The present study aims to evaluate the diagnostic capability of serum N-glycosylation to identify alcohol risk drinking in comparison with standard markers. Methods: We included 1516 adult individuals (age range 18–91 years; 55.3% women), randomly selected from a general population. A total of 143 (21.0%) men and 50 (5.9%) women were classified as risk drinkers after quantification of daily alcohol consumption and the Alcohol Use Disorders Identification Test (AUDIT). Hydrophilic interaction ultra-performance liquid chromatography (HILIC-UPLC) was used for the quantification of 46 serum N-glycan peaks. Serum gamma-glutamyltransferase (GGT), carbohydrate-deficient transferrin (CDT), and red blood cell mean corpuscular volume (MCV) were measured by standard clinical laboratory methods. Results: Variations in serum N-glycome associated risk drinking were more prominent in men compared to women. A unique combination of N-glycan peaks selected by the selbal algorithm shows good discrimination between risk-drinkers and non-risk drinkers for men and women. Receiver operating characteristics (ROC) curves show accuracy for the diagnosis of risk drinking, which is comparable to that of the golden standards, GGT, MCV and CDT markers for men and women. Additionally, the inclusion of N-glycan peaks improves the diagnostic accuracy of the standard markers, although it remains relatively low, due to low sensitivity. For men, the area under the ROC curve using N-glycome data is 0.75, 0.76, and 0.77 when combined with GGT, MCV, and CDT, respectively. In women, the areas were 0.76, 0.73, and 0.73, respectively. Conclusion: Risk drinking is associated with significant variations in the serum N-glycome, which highlights its potential diagnostic utility.
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Glycoinformatics Tools for Comprehensive Characterization of Glycans Enzymatically Released from Proteins. Methods Mol Biol 2021. [PMID: 34611862 DOI: 10.1007/978-1-0716-1685-7_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
Glycosylation is important in biology, contributing to both protein conformation and function. Structurally, glycosylation is complex and diverse. This complexity is reflected in the topology, composition, monosaccharide linkages, and isomerism of each oligosaccharide. Glycoanalytics is a discipline that addresses the understanding and characterization of this complexity and its correlation with biology. It includes analytical steps such as sample preparation, instrument measurements, and data analyses. Of these, data analysis has emerged as a critical bottleneck because data collection has increasingly become high-throughput. This has resulted in data-rich workflows that lack rapid and automated data analytics. To address this issue, the field has been developing software for interpretation of quantitative glycomics studies. Here, we describe a protocol using available informatics tools for analysis of data from analysis of released glycans using high-/ultraperformance liquid chromatography (H/UPLC) coupled with mass spectrometry (MS).
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Abstract
GlycoStore ( http://www.glycostore.org ) is an open access chromatographic and electrophoretic retention database of glycans characterized from glycoproteins, glycolipids, and biotherapeutics. It is a continuation of the GlycoBase project (Oxford Glycobiology Institute and National Institute for Bioprocessing Research and Training, Ireland) but addresses many of the technological limitations that impacted the growth of GlycoBase, in particular, improvements to the bioinformatics architecture, enhancing data annotations and coverage, and improving connectivity with external resources. The first release of GlycoStore (October 2017) contains over 850 glycan entries accompanied by 8500+ retention positions including data from: (1) fluorescently labelled released glycans determined using hydrophilic interaction chromatography (HILIC) ultrahigh-performance liquid chromatography (U/HPLC) and reversed phase (RP)-U/HPLC; (2) porous graphitized carbon chromatography (PGC) interfaced with ESI-MS/MS; and (3) capillary electrophoresis with laser induced fluorescence detection (CE-LIF). In this chapter, we outline the objectives of GlycoStore, and describe a selection of step-by-step workflows for navigating and browsing the information available. We also provide a short description of informatics tools available to query the database using Semantic technologies. The information presented in this chapter supplements our documentation knowledge base that describes interface improvements, new features and tools, and content updates ( https://unicarbkb.freshdesk.com/ ).
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Hendel JL, Gardner RA, Spencer DIR. Automation of Immunoglobulin Glycosylation Analysis. EXPERIENTIA SUPPLEMENTUM (2012) 2021; 112:173-204. [PMID: 34687010 DOI: 10.1007/978-3-030-76912-3_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The development of reliable, affordable, high-resolution glycomics technologies that can be used for many samples in a high-throughput manner are essential for both the optimization of glycosylation in the biopharmaceutical industry as well as for the advancement of clinical diagnostics based on glycosylation biomarkers. We will use this chapter to review the sample preparation processes that have been used on liquid-handling robots to obtain high-quality glycomics data for both biopharmaceutical and clinical antibody samples. This will focus on glycoprotein purification, followed by glycan or glycopeptide generation, derivatization and enrichment. The use of liquid-handling robots for glycomics studies on other sample types beyond antibodies will not be discussed here. We will summarize our thoughts on the current status of the field and explore the benefits and challenges associated with developing and using automated platforms for sample preparation. Finally, the future outlook for the automation of glycomics will be discussed along with a projected impact on the field in general.
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Affiliation(s)
- Jenifer L Hendel
- Ludger Limited, Culham Science Centre, Abingdon, Oxfordshire, UK
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Kavanagh EL, Halasz M, Dowling P, Withers J, Lindsay S, Higgins MJ, Irwin JA, Rudd PM, Saldova R, McCann A. N-Linked glycosylation profiles of therapeutic induced senescent (TIS) triple negative breast cancer cells (TNBC) and their extracellular vesicle (EV) progeny. Mol Omics 2020; 17:72-85. [PMID: 33325943 DOI: 10.1039/d0mo00017e] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Triple negative breast cancer (TNBC) has poor clinical outcomes and limited treatment options. Chemotherapy, while killing some cancer cells, can result in therapeutic-induced-senescent (TIS) cells. Senescent cells release significantly more extracellular vesicles (EVs) than non-senescent cells. Recently, N- and O-linked glycosylation alterations have been associated with senescence. We aimed to profile the N-linked glycans of whole cells, membrane, cytoplasm and EVs harvested from TIS TNBC cells and to compare these to results from non-senescent cells. TIS was induced in the Cal51 TNBC cells using the chemotherapeutic agent paclitaxel (PTX). Ultra-performance liquid chromatography (UPLC) analysis of exoglycosidase digested N-linked glycans was carried out on TIS compared to non-treated control cells. LC-Mass spectrometry (MS) analysis of the N-linked glycans and lectin blotting of samples was carried out to confirm the UPLC results. Significant differences were found in the N-glycan profile of the Cal51 membrane, cytoplasm and EV progeny of TIS compared to non-senescent cells. Protein mass spectrometry showed that the TIS cells contain different glycan modifying enzymes. The lectin, calnexin demonstrated a lower kDa size (∼58 kDa) in TIS compared to control cells (∼90 kDa) while Galectin 3 demonstrated potential proteolytic cleavage with 32 kDa and ∼22 kDa bands evident in TIS compared to non-senescent control cells with a major 32 kDa band only. TIS CAL51 cells also demonstrated a reduced adhesion to collagen I compared to control non-senescent cells. This study has shown that therapeutic-induced-senescent TNBC cells and their EV progeny, display differential N-glycan moieties compared to non-senescent Cal51 cells and their resultant EV progeny. For the future, N-glycan moieties on cancer senescent cells and their EV progeny hold potential for (i) the monitoring of treatment response as a liquid biopsy, and (ii) cancer senescent cell targeting with lectin therapies.
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Affiliation(s)
- Emma L Kavanagh
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin (UCD), Dublin, Ireland.
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Gilgunn S, Murphy K, Stöckmann H, Conroy PJ, Murphy TB, Watson RW, O’Kennedy RJ, Rudd PM, Saldova R. Glycosylation in Indolent, Significant and Aggressive Prostate Cancer by Automated High-Throughput N-Glycan Profiling. Int J Mol Sci 2020; 21:ijms21239233. [PMID: 33287410 PMCID: PMC7730228 DOI: 10.3390/ijms21239233] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 11/25/2020] [Accepted: 11/28/2020] [Indexed: 11/25/2022] Open
Abstract
The diagnosis and treatment of prostate cancer (PCa) is a major health-care concern worldwide. This cancer can manifest itself in many distinct forms and the transition from clinically indolent PCa to the more invasive aggressive form remains poorly understood. It is now universally accepted that glycan expression patterns change with the cellular modifications that accompany the onset of tumorigenesis. The aim of this study was to investigate if differential glycosylation patterns could distinguish between indolent, significant, and aggressive PCa. Whole serum N-glycan profiling was carried out on 117 prostate cancer patients’ serum using our automated, high-throughput analysis platform for glycan-profiling which utilizes ultra-performance liquid chromatography (UPLC) to obtain high resolution separation of N-linked glycans released from the serum glycoproteins. We observed increases in hybrid, oligomannose, and biantennary digalactosylated monosialylated glycans (M5A1G1S1, M8, and A2G2S1), bisecting glycans (A2B, A2(6)BG1) and monoantennary glycans (A1), and decreases in triantennary trigalactosylated trisialylated glycans with and without core fucose (A3G3S3 and FA3G3S3) with PCa progression from indolent through significant and aggressive disease. These changes give us an insight into the disease pathogenesis and identify potential biomarkers for monitoring the PCa progression, however these need further confirmation studies.
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Affiliation(s)
- Sarah Gilgunn
- School of Biotechnology, Dublin City University, D09 V209 Dublin 9, Ireland; (S.G.); (R.J.O.)
- National Centre for Sensor Research, Biomedical Diagnostics Institute, Dublin City University, D09 V209 Dublin 9, Ireland
| | - Keefe Murphy
- Department of Mathematics and Statistics, Maynooth University, Maynooth, W23 F2K8 Co. Kildare, Ireland;
| | - Henning Stöckmann
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, A94 X099 Co. Dublin, Ireland; (H.S.); (P.M.R.)
| | - Paul J. Conroy
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, Nursing and Health Science, Monash University, Melbourne, VIC 3800, Australia;
| | - T. Brendan Murphy
- UCD School of Mathematics and Statistics, University College Dublin, D04 V1W8 Dublin 4, Ireland;
| | - R. William Watson
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, D04 V1W8 Dublin 4, Ireland;
- UCD School of Medicine, College of Health and Agricultural Science, University College Dublin, D04 V1W8 Dublin 4, Ireland
| | - Richard J. O’Kennedy
- School of Biotechnology, Dublin City University, D09 V209 Dublin 9, Ireland; (S.G.); (R.J.O.)
- National Centre for Sensor Research, Biomedical Diagnostics Institute, Dublin City University, D09 V209 Dublin 9, Ireland
- Research, Development and Innovation, Qatar Foundation, Luqta Street, Doha 5825, Qatar
| | - Pauline M. Rudd
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, A94 X099 Co. Dublin, Ireland; (H.S.); (P.M.R.)
- Bioprocessing Technology Institute, 20 Biopolis Way, #06-01 Centros, Singapore 138668, Singapore
| | - Radka Saldova
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, A94 X099 Co. Dublin, Ireland; (H.S.); (P.M.R.)
- UCD School of Medicine, College of Health and Agricultural Science, University College Dublin, D04 V1W8 Dublin 4, Ireland
- Correspondence: ; Tel.: +353-1215-8147
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12
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Blaschke CRK, Black AP, Mehta AS, Angel PM, Drake RR. Rapid N-Glycan Profiling of Serum and Plasma by a Novel Slide-Based Imaging Mass Spectrometry Workflow. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:2511-2520. [PMID: 32809822 PMCID: PMC8880305 DOI: 10.1021/jasms.0c00213] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Changes in the levels and compositions of N-glycans released from serum and plasma glycoproteins have been assessed in many diseases across many large clinical sample cohorts. Assays used for N-glycan profiling in these fluids currently require multiple processing steps and have limited throughput, thus diminishing their potential for use as standard clinical diagnostic assays. A novel slide-based N-glycan profiling method was evaluated for sensitivity and reproducibility using a pooled serum standard. Serum was spotted on to an amine-reactive slide, delipidated and desalted with a series of washes, sprayed with peptide N-glycosidase F and matrix, and analyzed by MALDI-FTICR or MALDI-Q-TOF mass spectrometry. Routinely, over 75 N-glycan species can be detected from one microliter of serum in less than 6.5 h. Additionally, endoglycosidase F3 was applied to this workflow to identify core-fucosylated N-glycans and displayed the adaptability of this method for the determination of structural information. This method was applied to a small pooled serum set from either obese or nonobese patients that had breast cancer or a benign lesion. This study confirms the reproducibility, sensitivity, and adaptability of a novel method for N-glycan profiling of serum and plasma for potential application to clinical diagnostics.
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Affiliation(s)
- Calvin R K Blaschke
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, 173 Ashley Avenue, Charleston, 29425 South Carolina, United States
| | - Alyson P Black
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, 173 Ashley Avenue, Charleston, 29425 South Carolina, United States
| | - Anand S Mehta
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, 173 Ashley Avenue, Charleston, 29425 South Carolina, United States
| | - Peggi M Angel
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, 173 Ashley Avenue, Charleston, 29425 South Carolina, United States
| | - Richard R Drake
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, 173 Ashley Avenue, Charleston, 29425 South Carolina, United States
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13
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O’Flaherty R, Bergin A, Flampouri E, Mota LM, Obaidi I, Quigley A, Xie Y, Butler M. Mammalian cell culture for production of recombinant proteins: A review of the critical steps in their biomanufacturing. Biotechnol Adv 2020; 43:107552. [DOI: 10.1016/j.biotechadv.2020.107552] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 04/28/2020] [Accepted: 05/05/2020] [Indexed: 12/28/2022]
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14
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Pralow A, Cajic S, Alagesan K, Kolarich D, Rapp E. State-of-the-Art Glycomics Technologies in Glycobiotechnology. ADVANCES IN BIOCHEMICAL ENGINEERING/BIOTECHNOLOGY 2020; 175:379-411. [PMID: 33112988 DOI: 10.1007/10_2020_143] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Glycosylation affects the properties of biologics; thus regulatory bodies classified it as critical quality attribute and force biopharma industry to capture and control it throughout all phases, from R&D till end of product lifetime. The shift from originators to biosimilars further increases importance and extent of glycoanalysis, which thus increases the need for technology platforms enabling reliable high-throughput and in-depth glycan analysis. In this chapter, we will first summarize on established glycoanalytical methods based on liquid chromatography focusing on hydrophilic interaction chromatography, capillary electrophoresis focusing on multiplexed capillary gel electrophoresis, and mass spectrometry focusing on matrix-assisted laser desorption; we will then highlight two emerging technologies based on porous graphitized carbon liquid chromatography and on ion-mobility mass spectrometry as both are highly promising tools to deliver an additional level of information for in-depth glycan analysis; additionally we elaborate on the advantages and challenges of different glycoanalytical technologies and their complementarity; finally, we briefly review applications thereof to biopharmaceutical products. This chapter provides an overview of current state-of-the-art analytical approaches for glycan characterization of biopharmaceuticals that can be employed to capture glycoprotein heterogeneity in a biopharmaceutical context.
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Affiliation(s)
- Alexander Pralow
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Samanta Cajic
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Kathirvel Alagesan
- Institute for Glycomics, Griffith University, Gold Coast, QLD, Australia
| | - Daniel Kolarich
- Institute for Glycomics, Griffith University, Gold Coast, QLD, Australia
- ARC Centre of Excellence in Nanoscale Biophotonics, Griffith University, Gold Coast, QLD, Australia
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
- glyXera GmbH, Magdeburg, Germany.
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15
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Samal J, Saldova R, Rudd PM, Pandit A, O'Flaherty R. Region-Specific Characterization of N-Glycans in the Striatum and Substantia Nigra of an Adult Rodent Brain. Anal Chem 2020; 92:12842-12851. [PMID: 32815717 DOI: 10.1021/acs.analchem.0c01206] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
N-glycan alterations in the nervous system can result in different neuropathological symptoms such as mental retardation, seizures, and epilepsy. Studies have reported the characterization of N-glycans in rodent brains, but there is a lack of spatial resolution as either the tissue samples were homogenized or specific proteins were selected for analysis of glycosylation. We hypothesize that region-specific resolution of N-glycans isolated from the striatum and substantia nigra (SN) can give an insight into the establishment and pathophysiological degeneration of neural circuitry in Parkinson's disease. Specific objectives of the study include isolation of N-glycans from the rat striatum and SN; reproducibility, resolution, and relative quantitation of N-glycome using ultra-performance liquid chromatography (UPLC), weak anion exchange-UPLC, and lectin histochemistry. The total N-glycomes from the striatum and SN were characterized using database mining (GlycoStore), exoglycosidase digestions, and liquid chromatography-mass spectrometry. It revealed significant differences in complex and oligomannose type N-glycans, sialylation (mono-, di-, and tetra-), fucosylation (tri-, core, and outer arm), and galactosylation (di-, tri-, and tetra-) between striatum and SN N-glycans with the detection of phosphorylated N-glycans in SN which were not detected in the striatum. This study presents the most comprehensive comparative analysis of relative abundances of N-glycans in the striatum and SN of rodent brains, serving as a foundation for identifying "brain-type" glycans as biomarkers or therapeutic targets and their modulation in neurodegenerative disorders.
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Affiliation(s)
- Juhi Samal
- CÚRAM-SFI Research Centre for Medical Devices, National University of Ireland, Co. Galway H91W2TY, Ireland
| | - Radka Saldova
- CÚRAM-SFI Research Centre for Medical Devices, National University of Ireland, Co. Galway H91W2TY, Ireland.,GlycoScience Group, National Institute for Bioprocessing Research and Training (NIBRT), Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin A94X099, Ireland.,UCD School of Medicine, College of Health and Agricultural Science (CHAS), University College Dublin (UCD), Co. Dublin A94X099, Ireland
| | - Pauline M Rudd
- GlycoScience Group, National Institute for Bioprocessing Research and Training (NIBRT), Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin A94X099, Ireland.,Analytics Group, Bioprocessing Technology Institute (AStar), 20 Biopolis Way, 06-01 Centros, Singapore 138668
| | - Abhay Pandit
- CÚRAM-SFI Research Centre for Medical Devices, National University of Ireland, Co. Galway H91W2TY, Ireland
| | - Róisín O'Flaherty
- GlycoScience Group, National Institute for Bioprocessing Research and Training (NIBRT), Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin A94X099, Ireland
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16
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Illiano A, Pinto G, Melchiorre C, Carpentieri A, Faraco V, Amoresano A. Protein Glycosylation Investigated by Mass Spectrometry: An Overview. Cells 2020; 9:E1986. [PMID: 32872358 PMCID: PMC7564411 DOI: 10.3390/cells9091986] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/14/2020] [Accepted: 08/24/2020] [Indexed: 12/16/2022] Open
Abstract
The protein glycosylation is a post-translational modification of crucial importance for its involvement in molecular recognition, protein trafficking, regulation, and inflammation. Indeed, abnormalities in protein glycosylation are correlated with several disease states such as cancer, inflammatory diseases, and congenial disorders. The understanding of cellular mechanisms through the elucidation of glycan composition encourages researchers to find analytical solutions for their detection. Actually, the multiplicity and diversity of glycan structures bond to the proteins, the variations in polarity of the individual saccharide residues, and the poor ionization efficiencies make their detection much trickier than other kinds of biopolymers. An overview of the most prominent techniques based on mass spectrometry (MS) for protein glycosylation (glycoproteomics) studies is here presented. The tricks and pre-treatments of samples are discussed as a crucial step prodromal to the MS analysis to improve the glycan ionization efficiency. Therefore, the different instrumental MS mode is also explored for the qualitative and quantitative analysis of glycopeptides and the glycans structural composition, thus contributing to the elucidation of biological mechanisms.
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Affiliation(s)
- Anna Illiano
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
- CEINGE Advanced Biotechnology, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy
| | - Gabriella Pinto
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Chiara Melchiorre
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Andrea Carpentieri
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Vincenza Faraco
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Angela Amoresano
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
- Istituto Nazionale Biostrutture e Biosistemi—Consorzio Interuniversitario, Viale delle Medaglie d’Oro, 305, 00136 Rome, Italy
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17
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Shajahan A, Supekar NT, Chapla D, Heiss C, Moremen KW, Azadi P. Simplifying Glycan Profiling through a High-Throughput Micropermethylation Strategy. SLAS Technol 2020; 25:367-379. [PMID: 32364434 DOI: 10.1177/2472630320912929] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Glycoproteins play key roles in various molecular and cellular functions and are among the most difficult to analyze biomolecules on account of their microheterogeneity, non-template-driven synthesis, and low abundances. The stability, serum half-life, immunogenicity, and biological activity of therapeutic glycoproteins, including antibodies, vaccines, and biomarkers, are regulated by their glycosylation profile. Thus, there is increasing demand for the qualitative and quantitative characterization and validation of glycosylation on glycoproteins. One of the most important derivatization processes for the structural characterization of released glycans by mass spectrometry (MS) is permethylation. We have recently developed a permethylation strategy in microscale that allows facile permethylation of glycans and permits the processing of large sample sets in nanogram amounts through high-throughput sample handling. Here, we are reporting the wide potential of micropermethylation-based high-throughput structural analysis of glycans from various sources, including human plasma, mammalian cells, and purified glycoproteins, through an automated tandem electrospray ionization-mass spectrometry (ESI-MSn) platform. The glycans released from the plasma, cells, and glycoproteins are permethylated in microscale in a 96-well plate or microcentrifuge tube and isolated by a C18 tip-based cleanup through a shorter and simple process. We have developed a workflow to accomplish an in-depth automated structural characterization MS program for permethylated N/O-glycans through an automated high-throughput multistage tandem MS acquisition. We have demonstrated the utility of this workflow using the examples of sialic acid linkages and bisecting GlcNAc (N-acetylglucosamine) on the glycans. This approach can automate the high-throughput screening of glycosylation on large sample sets of glycoproteins, including clinical glycan biomarkers and glycoprotein therapeutics.
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Affiliation(s)
- Asif Shajahan
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA, USA
| | - Nitin T Supekar
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA, USA
| | - Digantkumar Chapla
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA, USA
| | - Christian Heiss
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA, USA
| | - Kelley W Moremen
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA, USA
| | - Parastoo Azadi
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA, USA
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18
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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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19
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Fang G, Lu H, Law A, Gallego-Ortega D, Jin D, Lin G. Gradient-sized control of tumor spheroids on a single chip. LAB ON A CHIP 2019; 19:4093-4103. [PMID: 31712797 DOI: 10.1039/c9lc00872a] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Multicellular tumor spheroids are attracting more attention as a physiologically relevant in vitro tumor model for biomedical research. The size of spheroids is one of the critical parameters related to drug penetration and cellular responses. It remains challenging to generate a large number of gradient-sized spheroids in one culture vessel. Here, a liquid-dome method was used to simultaneously produce more than 200 gradient-sized spheroids on an agarose chip. Surface tension effect was used to modulate the liquid spatial distribution and achieve a range of spheroid sizes. MCF-7 cells formed multiple spheroids on the chips for concept validation. It showed that different configurations of the liquid domes exhibited different levels of size control. Relative to the smallest spheroids in the configuration, hemispheric and square domes produced spheroids up to 3.4 and 12.8-fold larger in area, respectively. In addition, the co-culture of MCF-7 and fibroblasts helped to elucidate the tendency of fibroblasts towards the spheroid center. Other size-dependent behaviors were profiled; larger spheroids behaved differently from smaller spheroids in terms of spheroid growth, drug penetration and cellular responses. This method breaks the boundary between the preparation of gradient-sized spheroids and significant time/labour demand. It can be useful for drug screening and in vitro tumor modelling.
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Affiliation(s)
- Guocheng Fang
- Institute for Biomedical Materials and Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia.
| | - Hongxu Lu
- Institute for Biomedical Materials and Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia.
| | - Andrew Law
- Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, Australia
| | - David Gallego-Ortega
- Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, Australia and St. Vincent's Clinical School, Faculty of Medicine, University of New South Wales Sydney, Kensington, New South Wales 2052, Australia
| | - Dayong Jin
- Institute for Biomedical Materials and Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia. and UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Gungun Lin
- Institute for Biomedical Materials and Devices, Faculty of Science, The University of Technology Sydney, Ultimo, New South Wales 2007, Australia.
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20
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Szigeti M, Guttman A. Sample Preparation Scale-Up for Deep N-glycomic Analysis of Human Serum by Capillary Electrophoresis and CE-ESI-MS. Mol Cell Proteomics 2019; 18:2524-2531. [PMID: 31628258 PMCID: PMC6885710 DOI: 10.1074/mcp.tir119.001669] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 10/15/2019] [Indexed: 12/21/2022] Open
Abstract
We introduce an efficient sample preparation workflow to facilitate deep N-glycomics analysis of the human serum by capillary electrophoresis with laser induced fluorescence (CE-LIF) detection and to accommodate the higher sample concentration requirement of electrospray ionization mass spectrometry connected to capillary electrophoresis (CE-ESI-MS). A novel, temperature gradient denaturing protocol was applied on amine functionalized magnetic bead partitioned glycoproteins to circumvent the otherwise prevalent precipitation issue. During this process, the free sugar content of the serum was significantly decreased as well, accommodating enhanced PNGase F mediated release of the N-linked carbohydrates. The liberated oligosaccharides were tagged with aminopyrene-trisulfonate, utilizing a modified evaporative labeling protocol. Processing the samples with this new workflow enabled deep CE-LIF analysis of the human serum N-glycome and provided the appropriate amount of material for CE-ESI-MS analysis in negative ionization mode.
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Affiliation(s)
- Marton Szigeti
- MTA-PE Translational Glycomics Research Group, Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, 10 Egyetem Street, Veszprem, 8200, Hungary; Horváth Csaba Memorial Laboratory of Bioseparation Sciences, Research Center for Molecular Medicine, Doctoral School of Molecular Medicine, Faculty of Medicine, University of Debrecen, 98 Nagyerdei krt., Debrecen, 4032, Hungary
| | - Andras Guttman
- MTA-PE Translational Glycomics Research Group, Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, 10 Egyetem Street, Veszprem, 8200, Hungary; Horváth Csaba Memorial Laboratory of Bioseparation Sciences, Research Center for Molecular Medicine, Doctoral School of Molecular Medicine, Faculty of Medicine, University of Debrecen, 98 Nagyerdei krt., Debrecen, 4032, Hungary.
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21
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O'Flaherty R, Muniyappa M, Walsh I, Stöckmann H, Hilliard M, Hutson R, Saldova R, Rudd PM. A Robust and Versatile Automated Glycoanalytical Technology for Serum Antibodies and Acute Phase Proteins: Ovarian Cancer Case Study. Mol Cell Proteomics 2019; 18:2191-2206. [PMID: 31471495 PMCID: PMC6823853 DOI: 10.1074/mcp.ra119.001531] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 07/11/2019] [Indexed: 11/06/2022] Open
Abstract
The direct association of the genome, transcriptome, metabolome, lipidome and proteome with the serum glycome has revealed systems of interconnected cellular pathways. The exact roles of individual glycoproteomes in the context of disease have yet to be elucidated. In a move toward personalized medicine, it is now becoming critical to understand disease pathogenesis, and the traits, stages, phenotypes and molecular features that accompany it, as the disruption of a whole system. To this end, we have developed an innovative technology on an automated platform, "GlycoSeqCap," which combines N-glycosylation data from six glycoproteins using a single source of human serum. Specifically, we multiplexed and optimized a successive serial capture and glycoanalysis of six purified glycoproteins, immunoglobulin G (IgG), immunoglobulin M (IgM), immunoglobulin A (IgA), transferrin (Trf), haptoglobin (Hpt) and alpha-1-antitrypsin (A1AT), from 50 μl of human serum. We provide the most comprehensive and in-depth glycan analysis of individual glycoproteins in a single source of human serum to date. To demonstrate the technological application in the context of a disease model, we performed a pilot study in an ovarian cancer cohort (n = 34) using discrimination and classification analyses to identify aberrant glycosylation. In our sample cohort, we exhibit improved selectivity and specificity over the currently used biomarker for ovarian cancer, CA125, for early stage ovarian cancer. This technology will establish a new state-of-the-art strategy for the characterization of individual serum glycoproteomes as a diagnostic and monitoring tool which represents a major step toward understanding the changes that take place during disease.
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Affiliation(s)
- Róisín O'Flaherty
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland, A94X099
| | - Mohankumar Muniyappa
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland, A94X099
| | - Ian Walsh
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (ASTAR), 20 Biopolis Way, #06-01 Centros, Singapore 138668, Singapore
| | - Henning Stöckmann
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland, A94X099
| | - Mark Hilliard
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland, A94X099
| | - Richard Hutson
- Cancer Research UK Clinical Centre at Leeds, St James' University Hospital, Leeds LS9 7TF, UK.
| | - Radka Saldova
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland, A94X099; UCD School of Medicine, College of Health and Agricultural Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Pauline M Rudd
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland, A94X099
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22
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Kotsias M, Blanas A, van Vliet SJ, Pirro M, Spencer DIR, Kozak RP. Method comparison for N-glycan profiling: Towards the standardization of glycoanalytical technologies for cell line analysis. PLoS One 2019; 14:e0223270. [PMID: 31589631 PMCID: PMC6779296 DOI: 10.1371/journal.pone.0223270] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 09/17/2019] [Indexed: 01/18/2023] Open
Abstract
The study of protein N-glycosylation is essential in biological and biopharmaceutical research as N-glycans have been reported to regulate a wide range of physiological and pathological processes. Monitoring glycosylation in diagnosis, prognosis, as well as biopharmaceutical development and quality control are important research areas. A number of techniques for the analysis of protein N-glycosylation are currently available. Here we examine three methodologies routinely used for the release of N-glycans, in the effort to establish and standardize glycoproteomics technologies for quantitative glycan analysis from cultured cell lines. N-glycans from human gamma immunoglobulins (IgG), plasma and a pool of four cancer cell lines were released following three approaches and the performance of each method was evaluated.
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Affiliation(s)
- Maximilianos Kotsias
- Ludger Ltd., Culham Science Centre, Abingdon, Oxfordshire, England, United Kingdom
| | - Athanasios Blanas
- Amsterdam UMC, Vrije Universiteit Amsterdam, Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Sandra J. van Vliet
- Amsterdam UMC, Vrije Universiteit Amsterdam, Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Martina Pirro
- Leiden University Medical Centre, Centre for Proteomics and Metabolomics, Leiden, The Netherlands
| | - Daniel I. R. Spencer
- Ludger Ltd., Culham Science Centre, Abingdon, Oxfordshire, England, United Kingdom
| | - Radoslaw P. Kozak
- Ludger Ltd., Culham Science Centre, Abingdon, Oxfordshire, England, United Kingdom
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23
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Behrens AJ, Duke RM, Petralia LM, Harvey DJ, Lehoux S, Magnelli PE, Taron CH, Foster JM. Glycosylation profiling of dog serum reveals differences compared to human serum. Glycobiology 2019; 28:825-831. [PMID: 30137320 PMCID: PMC6192460 DOI: 10.1093/glycob/cwy070] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 07/30/2018] [Indexed: 12/12/2022] Open
Abstract
Glycosylation is the most common post-translational modification of serum proteins, and changes in the type and abundance of glycans in human serum have been correlated with a growing number of human diseases. While the glycosylation pattern of human serum is well studied, little is known about the profiles of other mammalian species. Here, we report detailed glycosylation profiling of canine serum by hydrophilic interaction chromatography-ultraperformance liquid chromatography (HILIC-UPLC) and mass spectrometry. The domestic dog (Canis familiaris) is a widely used model organism and of considerable interest for a large veterinary community. We found significant differences in the serum N-glycosylation profile of dogs compared to that of humans, such as a lower abundance of galactosylated and sialylated glycans. We also compare the N-glycan profile of canine serum to that of canine IgG – the most abundant serum glycoprotein. Our data will serve as a baseline reference for future studies when performing serum analyses of various health and disease states in dogs.
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Affiliation(s)
| | - Rebecca M Duke
- New England Biolabs Inc., 240 County Road, Ipswich, MA, USA
| | | | - David J Harvey
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Old Road Campus.,Centre for Biological Sciences, Faculty of Natural and Environmental Sciences, University of Southampton, University Road, Southampton, UK
| | - Sylvain Lehoux
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA, USA
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24
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Kotsias M, Kozak RP, Gardner RA, Wuhrer M, Spencer DIR. Improved and semi-automated reductive β-elimination workflow for higher throughput protein O-glycosylation analysis. PLoS One 2019; 14:e0210759. [PMID: 30653606 PMCID: PMC6336230 DOI: 10.1371/journal.pone.0210759] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 01/01/2019] [Indexed: 11/19/2022] Open
Abstract
Protein O-glycosylation has shown to be critical for a wide range of biological processes, resulting in an increased interest in studying the alterations in O-glycosylation patterns of biological samples as disease biomarkers as well as for patient stratification and personalized medicine. Given the complexity of O-glycans, often a large number of samples have to be analysed in order to obtain conclusive results. However, most of the O-glycan analysis work done so far has been performed using glycoanalytical technologies that would not be suitable for the analysis of large sample sets, mainly due to limitations in sample throughput and affordability of the methods. Here we report a largely automated system for O-glycan analysis. We adapted reductive β-elimination release of O-glycans to a 96-well plate system and transferred the protocol onto a liquid handling robot. The workflow includes O-glycan release, purification and derivatization through permethylation followed by MALDI-TOF-MS. The method has been validated according to the ICH Q2 (R1) guidelines for the validation of analytical procedures. The semi-automated reductive β-elimination system enabled for the characterization and relative quantitation of O-glycans from commercially available standards. Results of the semi-automated method were in good agreement with the conventional manual in-solution method while even outperforming it in terms of repeatability. Release of O-glycans for 96 samples was achieved within 2.5 hours, and the automated data acquisition on MALDI-TOF-MS took less than 1 minute per sample. This largely automated workflow for O-glycosylation analysis showed to produce rapid, accurate and reliable data, and has the potential to be applied for O-glycan characterization of biological samples, biopharmaceuticals as well as for biomarker discovery.
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Affiliation(s)
| | - Radoslaw P. Kozak
- Ludger Ltd, Culham Science Centre, Abingdon, Oxfordshire, United Kingdom
| | - Richard A. Gardner
- Ludger Ltd, Culham Science Centre, Abingdon, Oxfordshire, United Kingdom
| | - Manfred Wuhrer
- Leiden University Medical Centre, Centre for Proteomics and Metabolomics, Leiden, Netherlands
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25
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Reiding KR, Bondt A, Hennig R, Gardner RA, O'Flaherty R, Trbojević-Akmačić I, Shubhakar A, Hazes JMW, Reichl U, Fernandes DL, Pučić-Baković M, Rapp E, Spencer DIR, Dolhain RJEM, Rudd PM, Lauc G, Wuhrer M. High-throughput Serum N-Glycomics: Method Comparison and Application to Study Rheumatoid Arthritis and Pregnancy-associated Changes. Mol Cell Proteomics 2019; 18:3-15. [PMID: 30242110 PMCID: PMC6317482 DOI: 10.1074/mcp.ra117.000454] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 05/14/2018] [Indexed: 11/06/2022] Open
Abstract
N-Glycosylation is a fundamentally important protein modification with a major impact on glycoprotein characteristics such as serum half-life and receptor interaction. More than half of the proteins in human serum are glycosylated, and the relative abundances of protein glycoforms often reflect alterations in health and disease. Several analytical methods are currently capable of analyzing the total serum N-glycosylation in a high-throughput manner.Here we evaluate and compare the performance of three high-throughput released N-glycome analysis methods. Included were hydrophilic-interaction ultra-high-performance liquid chromatography with fluorescence detection (HILIC-UHPLC-FLD) with 2-aminobenzamide labeling of the glycans, multiplexed capillary gel electrophoresis with laser-induced fluorescence detection (xCGE-LIF) with 8-aminopyrene-1,3,6-trisulfonic acid labeling, and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) with linkage-specific sialic acid esterification. All methods assessed the same panel of serum samples, which were obtained at multiple time points during the pregnancies and postpartum periods of healthy women and patients with rheumatoid arthritis (RA). We compared the analytical methods on their technical performance as well as on their ability to describe serum protein N-glycosylation changes throughout pregnancy, with RA, and with RA disease activity.Overall, the methods proved to be similar in their detection and relative quantification of serum protein N-glycosylation. However, the non-MS methods showed superior repeatability over MALDI-TOF-MS and allowed the best structural separation of low-complexity N-glycans. MALDI-TOF-MS achieved the highest throughput and provided compositional information on higher-complexity N-glycans. Consequentially, MALDI-TOF-MS could establish the linkage-specific sialylation differences within pregnancy and RA, whereas HILIC-UHPLC-FLD and xCGE-LIF demonstrated differences in α1,3- and α1,6-branch galactosylation. While the combination of methods proved to be the most beneficial for the analysis of total serum protein N-glycosylation, informed method choices can be made for the glycosylation analysis of single proteins or samples of varying complexity.
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Affiliation(s)
| | - Albert Bondt
- From the ‡Center for Proteomics and Metabolomics,; §Department of Rheumatology, Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | - René Hennig
- ¶Max Planck Institute (MPI) for Dynamics of Complex Technical Systems, 39106 Magdeburg, Germany;; ‖glyXera GmbH., 39120 Magdeburg, Germany
| | - Richard A Gardner
- **Ludger, Ltd., Culham Science Centre, Abingdon, Oxfordshire, United Kingdom
| | - Roisin O'Flaherty
- ‡‡GlycoScience Group, National Institute for Bioprocessing Research and Training (NIBRT), Fosters Avenue, Blackrock, Co. Dublin, Ireland
| | | | - Archana Shubhakar
- **Ludger, Ltd., Culham Science Centre, Abingdon, Oxfordshire, United Kingdom
| | - Johanna M W Hazes
- ¶¶Department of Rheumatology, Erasmus University Medical Center, Rotterdam, The Netherland
| | - Udo Reichl
- ¶Max Planck Institute (MPI) for Dynamics of Complex Technical Systems, 39106 Magdeburg, Germany;; ‖‖Otto von Guericke University Magdeburg, Chair of Bioprocess Engineering, 39106 Magdeburg, Germany
| | - Daryl L Fernandes
- **Ludger, Ltd., Culham Science Centre, Abingdon, Oxfordshire, United Kingdom
| | | | - Erdmann Rapp
- ¶Max Planck Institute (MPI) for Dynamics of Complex Technical Systems, 39106 Magdeburg, Germany;; ‖glyXera GmbH., 39120 Magdeburg, Germany
| | - Daniel I R Spencer
- **Ludger, Ltd., Culham Science Centre, Abingdon, Oxfordshire, United Kingdom
| | - Radboud J E M Dolhain
- ¶¶Department of Rheumatology, Erasmus University Medical Center, Rotterdam, The Netherland
| | - Pauline M Rudd
- ‡‡GlycoScience Group, National Institute for Bioprocessing Research and Training (NIBRT), Fosters Avenue, Blackrock, Co. Dublin, Ireland
| | - Gordan Lauc
- §§Genos Glycoscience Research Laboratory, Zagreb, Croatia;; ***Faculty of Pharmacy and Biochemistry, University of Zagreb, 10000 Zagreb, Croatia
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26
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Improvement of electrospray stability in negative ion mode for nano-PGC-LC-MS glycoanalysis via post-column make-up flow. Glycoconj J 2018; 35:499-509. [DOI: 10.1007/s10719-018-9848-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 10/28/2018] [Accepted: 11/05/2018] [Indexed: 01/01/2023]
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27
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O'Flaherty R, Harbison AM, Hanley PJ, Taron CH, Fadda E, Rudd PM. Aminoquinoline Fluorescent Labels Obstruct Efficient Removal of N-Glycan Core α(1-6) Fucose by Bovine Kidney α-l-Fucosidase (BKF). J Proteome Res 2018; 16:4237-4243. [PMID: 28953389 DOI: 10.1021/acs.jproteome.7b00580] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Here we report evidence that new aminoquinoline N-glycan fluorescent labels interfere with the release of core α(1-6) fucose from N-glycans by bovine kidney α-l-fucosidase (BKF). BKF is a commonly employed exoglycosidase for core α(1-6) fucose determination. Molecular simulations of the bound and unbound Fuc-α(1-6)-GlcNAc, where GlcNAc is situated at the reducing end for all N-glycans, suggest that the reduced BKF activity may be due to a nonoptimal fit of the highest populated conformers in the BKF active binding site at room temperature. Population analysis and free energy estimates suggest that an enhanced flexibility of the labeled sugar, which facilitates recognition and binding, can be achievable with extended reaction conditions. We provide these experimental conditions using a sequential exoglycosidase digestion array using high concentrations of BKF.
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Affiliation(s)
- Róisín O'Flaherty
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and Training , Foster's Avenue, Mount Merrion, Blackrock, Co., Dublin, Ireland
| | - Aoife M Harbison
- Department of Chemistry, Maynooth University , Maynooth, Kildare Ireland
| | - Philip J Hanley
- Department of Chemistry, Maynooth University , Maynooth, Kildare Ireland
| | | | - Elisa Fadda
- Department of Chemistry, Maynooth University , Maynooth, Kildare Ireland
| | - Pauline M Rudd
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and Training , Foster's Avenue, Mount Merrion, Blackrock, Co., Dublin, Ireland
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28
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Doherty M, Theodoratou E, Walsh I, Adamczyk B, Stöckmann H, Agakov F, Timofeeva M, Trbojević-Akmačić I, Vučković F, Duffy F, McManus CA, Farrington SM, Dunlop MG, Perola M, Lauc G, Campbell H, Rudd PM. Plasma N-glycans in colorectal cancer risk. Sci Rep 2018; 8:8655. [PMID: 29872119 PMCID: PMC5988698 DOI: 10.1038/s41598-018-26805-7] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 05/16/2018] [Indexed: 12/22/2022] Open
Abstract
Aberrant glycosylation has been associated with a number of diseases including cancer. Our aim was to elucidate changes in whole plasma N-glycosylation between colorectal cancer (CRC) cases and controls in one of the largest cohorts of its kind. A set of 633 CRC patients and 478 age and gender matched controls was analysed. Additionally, patients were stratified into four CRC stages. Moreover, N-glycan analysis was carried out in plasma of 40 patients collected prior to the initial diagnosis of CRC. Statistically significant differences were observed in the plasma N-glycome at all stages of CRC, this included a highly significant decrease in relation to the core fucosylated bi-antennary glycans F(6)A2G2 and F(6)A2G2S(6)1 (P < 0.0009). Stage 1 showed a unique biomarker signature compared to stages 2, 3 and 4. There were indications that at risk groups could be identified from the glycome (retrospective AUC = 0.77 and prospective AUC = 0.65). N-glycome biomarkers related to the pathogenic progress of the disease would be a considerable asset in a clinical setting and it could enable novel therapeutics to be developed to target the disease in patients at risk of progression.
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Affiliation(s)
- Margaret Doherty
- National Institute for Bioprocessing Research & Training, Dublin, Ireland.
- Institute of Technology Sligo, Department of Life Sciences, Sligo, Ireland.
| | - Evropi Theodoratou
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Colon Cancer Genetics Group, Institute of Genetics and Molecular Medicine, University of Edinburgh and Medical Research Council Human Genetics Unit, Edinburgh, UK
| | - Ian Walsh
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), 20 Biopolis Way, #06-01 Centros, Singapore, 138668, Singapore
| | - Barbara Adamczyk
- National Institute for Bioprocessing Research & Training, Dublin, Ireland
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Henning Stöckmann
- National Institute for Bioprocessing Research & Training, Dublin, Ireland
| | - Felix Agakov
- Pharmatics Limited, Edinburgh Bioquarter, 9 Little France Road, Edinburgh, UK
| | - Maria Timofeeva
- Colon Cancer Genetics Group, Institute of Genetics and Molecular Medicine, University of Edinburgh and Medical Research Council Human Genetics Unit, Edinburgh, UK
| | | | | | - Fergal Duffy
- National Institute for Bioprocessing Research & Training, Dublin, Ireland
| | - Ciara A McManus
- National Institute for Bioprocessing Research & Training, Dublin, Ireland
| | - Susan M Farrington
- Colon Cancer Genetics Group, Institute of Genetics and Molecular Medicine, University of Edinburgh and Medical Research Council Human Genetics Unit, Edinburgh, UK
| | - Malcolm G Dunlop
- Colon Cancer Genetics Group, Institute of Genetics and Molecular Medicine, University of Edinburgh and Medical Research Council Human Genetics Unit, Edinburgh, UK
| | - Markus Perola
- Department of Health, The National Institute for Health and Welfare, Helsinki, Finland
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Colon Cancer Genetics Group, Institute of Genetics and Molecular Medicine, University of Edinburgh and Medical Research Council Human Genetics Unit, Edinburgh, UK
| | - Pauline M Rudd
- National Institute for Bioprocessing Research & Training, Dublin, Ireland
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29
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Terkelsen T, Haakensen VD, Saldova R, Gromov P, Hansen MK, Stöckmann H, Lingjaerde OC, Børresen-Dale AL, Papaleo E, Helland Å, Rudd PM, Gromova I. N-glycan signatures identified in tumor interstitial fluid and serum of breast cancer patients: association with tumor biology and clinical outcome. Mol Oncol 2018; 12:972-990. [PMID: 29698574 PMCID: PMC5983225 DOI: 10.1002/1878-0261.12312] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 04/04/2018] [Accepted: 04/13/2018] [Indexed: 11/29/2022] Open
Abstract
Particular N‐glycan structures are known to be associated with breast malignancies by coordinating various regulatory events within the tumor and corresponding microenvironment, thus implying that N‐glycan patterns may be used for cancer stratification and as predictive or prognostic biomarkers. However, the association between N‐glycans secreted by breast tumor and corresponding clinical relevance remain to be elucidated. We profiled N‐glycans by HILIC UPLC across a discovery dataset composed of tumor interstitial fluids (TIF, n = 85), paired normal interstitial fluids (NIF, n = 54) and serum samples (n = 28) followed by independent evaluation, with the ultimate goal of identifying tumor‐related N‐glycan patterns in blood of patients with breast cancer. The segregation of N‐linked oligosaccharides revealed 33 compositions, which exhibited differential abundances between TIF and NIF. TIFs were depleted of bisecting N‐glycans, which are known to play essential roles in tumor suppression. An increased level of simple high mannose N‐glycans in TIF strongly correlated with the presence of tumor infiltrating lymphocytes within tumor. At the same time, a low level of highly complex N‐glycans in TIF inversely correlated with the presence of infiltrating lymphocytes within tumor. Survival analysis showed that patients exhibiting increased TIF abundance of GP24 had better outcomes, whereas low levels of GP10, GP23, GP38, and coreF were associated with poor prognosis. Levels of GP1, GP8, GP9, GP14, GP23, GP28, GP37, GP38, and coreF were significantly correlated between TIF and paired serum samples. Cross‐validation analysis using an independent serum dataset supported the observed correlation between TIF and serum, for five of nine N‐glycan groups: GP8, GP9, GP14, GP23, and coreF. Collectively, our results imply that profiling of N‐glycans from proximal breast tumor fluids is a promising strategy for determining tumor‐derived glyco‐signature(s) in the blood. N‐glycans structures validated in our study may serve as novel biomarkers to improve the diagnostic and prognostic stratification of patients with breast cancer.
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Affiliation(s)
- Thilde Terkelsen
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Vilde D Haakensen
- Department of Cancer Genetics, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Norway
| | - Radka Saldova
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Dublin 4, Ireland
| | - Pavel Gromov
- Danish Cancer Society Research Center, Genome Integrity Unit, Breast Cancer Biology Group, Copenhagen, Denmark
| | - Merete Kjaer Hansen
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Henning Stöckmann
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Dublin 4, Ireland
| | - Ole Christian Lingjaerde
- Department of Cancer Genetics, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Norway
| | - Anne-Lise Børresen-Dale
- Department of Cancer Genetics, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Norway
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Åslaug Helland
- Department of Cancer Genetics, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Norway
| | - Pauline M Rudd
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Dublin 4, Ireland
| | - Irina Gromova
- Danish Cancer Society Research Center, Genome Integrity Unit, Breast Cancer Biology Group, Copenhagen, Denmark
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30
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Colhoun HO, Treacy EP, MacMahon M, Rudd PM, Fitzgibbon M, O'Flaherty R, Stepien KM. Validation of an automated ultraperformance liquid chromatography IgG N-glycan analytical method applicable to classical galactosaemia. Ann Clin Biochem 2018; 55:593-603. [DOI: 10.1177/0004563218762957] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Background Classical galactosaemia (OMIM #230400) is a rare disorder of carbohydrate metabolism caused by deficiency of the galactose-1-phosphate uridyltransferase enzyme. The pathophysiology of the long-term complications, mainly cognitive, neurological and female fertility problems, remains poorly understood. Current clinical methods of biochemical monitoring lack precision and individualization with an identified need for improved biomarkers for this condition. Methods We report the development and detailed validation of an automated ultraperformance liquid chromatography N-glycan analytical method of high peak resolution applied to galactose incorporation into human serum IgG. Samples are prepared on 96-well plates and the workflow features rapid glycoprotein denaturation, enzymatic glycan release, glycan purification on solid-supported hydrazide, fluorescent labelling and post-labelling clean-up with solid-phase extraction. Results This method is shown to be accurate and precise with repeatability (cumulative coefficients of variation) of 2.0 and 8.5%, respectively, for G0/G1 and G0/G2 ratios. Both serum and processed N-glycan samples were found to be stable at room temperature and in freeze–thaw experiments. Conclusions This high-throughput method of IgG galactose incorporation is robust, affordable and simple. This method is validated with the potential to apply as a biomarker for treatment outcomes for galactosaemia.
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Affiliation(s)
| | - Eileen P Treacy
- Department of Paediatrics, Trinity College, Dublin, Ireland
- National Centre for Inherited Metabolic Diseases, The Mater Misericordiae University Hospital, Dublin, Ireland
| | - Marguerite MacMahon
- Department of Clinical Biochemistry and Diagnostic Endocrinology, The Mater Misericordiae University Hospital, Dublin, Ireland
| | - Pauline M Rudd
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and Training, Mount Merrion, Blackrock, Co., Dublin, Ireland
| | - Maria Fitzgibbon
- Department of Clinical Biochemistry and Diagnostic Endocrinology, The Mater Misericordiae University Hospital, Dublin, Ireland
| | - Roisin O'Flaherty
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and Training, Mount Merrion, Blackrock, Co., Dublin, Ireland
| | - Karolina M Stepien
- National Centre for Inherited Metabolic Diseases, The Mater Misericordiae University Hospital, Dublin, Ireland
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31
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Adamczyk B, Jin C, Polom K, Muñoz P, Rojas-Macias MA, Zeeberg D, Borén M, Roviello F, Karlsson NG. Sample handling of gastric tissue and O-glycan alterations in paired gastric cancer and non-tumorigenic tissues. Sci Rep 2018; 8:242. [PMID: 29321476 PMCID: PMC5762837 DOI: 10.1038/s41598-017-18299-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 12/07/2017] [Indexed: 12/13/2022] Open
Abstract
Sample collection, handling and storage are the most critical steps for ensuring the highest preservation of specimens. Pre-analytical variability can influence the results as protein signatures alter rapidly after tissue excision or during long-term storage. Hence, we evaluated current state-of-the-art biobank preservation methods from a glycomics perspective and analyzed O-glycan alterations occurring in the gastric cancer tissues. Paired tumor and adjacent normal tissue samples were obtained from six patients undergoing gastric cancer surgery. Collected samples (n = 24) were either snap-frozen or heat stabilized and then homogenized. Glycans were released from extracted glycoproteins and analyzed by LC-MS/MS. In total, the relative abundance of 83 O-glycans and 17 derived structural features were used for comparison. There was no statistically significant difference found in variables between snap frozen and heat-stabilized samples, which indicated the two preservation methods were comparable. The data also showed significant changes between normal and cancerous tissue. In addition to a shift from high sialylation in the cancer area towards blood group ABO in the normal area, we also detected that the LacdiNAc epitope (N,N'-diacetyllactosamine) was significantly decreased in cancer samples. The O-glycan alterations that are presented here may provide predictive power for the detection and prognosis of gastric cancer.
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Affiliation(s)
- Barbara Adamczyk
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Chunsheng Jin
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Karol Polom
- Department General Surgery and Surgical Oncology, University of Siena, Siena, Italy
- Department of Surgical Oncology, Medical University of Gdansk, Gdansk, Poland
| | - Pedro Muñoz
- Department of Biochemistry and Molecular Biology III, School of Medicine, Complutense University of Madrid, Madrid, Spain
| | - Miguel A Rojas-Macias
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Mats Borén
- Denator AB, Uppsala Science Park, Uppsala, Sweden
| | - Franco Roviello
- Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
| | - Niclas G Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
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32
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Kailemia MJ, Xu G, Wong M, Li Q, Goonatilleke E, Leon F, Lebrilla CB. Recent Advances in the Mass Spectrometry Methods for Glycomics and Cancer. Anal Chem 2018; 90:208-224. [PMID: 29049885 PMCID: PMC6200424 DOI: 10.1021/acs.analchem.7b04202] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Muchena J. Kailemia
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States
- These authors contributed equally to this work
| | - Gege Xu
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States
- These authors contributed equally to this work
| | - Maurice Wong
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States
| | - Qiongyu Li
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States
| | - Elisha Goonatilleke
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States
| | - Frank Leon
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States
| | - Carlito B. Lebrilla
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States
- Department of Biochemistry and Molecular Medicine, University of California, Davis, CA 95616, USA
- Foods for Health Institute, University of California, Davis, CA 95616, USA
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33
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Miyamoto S, Stroble CD, Taylor S, Hong Q, Lebrilla CB, Leiserowitz GS, Kim K, Ruhaak LR. Multiple Reaction Monitoring for the Quantitation of Serum Protein Glycosylation Profiles: Application to Ovarian Cancer. J Proteome Res 2017; 17:222-233. [PMID: 29207246 DOI: 10.1021/acs.jproteome.7b00541] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Protein glycosylation fingerprints are widely recognized as potential markers for disease states, and indeed differential glycosylation has been identified in multiple types of autoimmune diseases and several types of cancer. However, releasing the glycans leave the glycoproteins unknown; therefore, there exists a need for high-throughput methods that allow quantification of site- and protein-specific glycosylation patterns from complex biological mixtures. In this study, a targeted multiple reaction monitoring (MRM)-based method for the protein- and site-specific quantitation involving serum proteins immunoglobulins A, G and M, alpha-1-antitrypsin, transferrin, alpha-2-macroglobulin, haptoglobin, alpha-1-acid glycoprotein and complement C3 was developed. The method is based on tryptic digestion of serum glycoproteins, followed by immediate reverse phase UPLC-QQQ-MS analysis of glycopeptides. To quantitate protein glycosylation independent of the protein serum concentration, a nonglycosylated peptide was also monitored. Using this strategy, 178 glycopeptides and 18 peptides from serum glycoproteins are analyzed with good repeatability (interday CVs of 3.65-21-92%) in a single 17 min run. To assess the potential of the method, protein glycosylation was analyzed in serum samples from ovarian cancer patients and controls. A training set consisting of 40 cases and 40 controls was analyzed, and differential analyses were performed to identify aberrant glycopeptide levels. All findings were validated in an independent test set (n = 44 cases and n = 44 controls). In addition to the differential glycosylation on the immunoglobulins, which was reported previously, aberrant glycosylation was also observed on each of the glycoproteins, which could be corroborated in the test set. This report shows the development of a method for targeted protein- and site-specific glycosylation analysis and the potential of such methods in biomarker development.
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Affiliation(s)
- Suzanne Miyamoto
- UC Davis Cancer Center , Sacramento, California 95817, United States
| | - Carol D Stroble
- UC Davis Cancer Center , Sacramento, California 95817, United States.,Department of Chemistry, University of California , Davis, California 95616, United States
| | - Sandra Taylor
- Division of Biostatistics, Department of Public Health Sciences, University of California , Davis, California 95616, United States
| | - Qiuting Hong
- Department of Chemistry, University of California , Davis, California 95616, United States
| | - Carlito B Lebrilla
- Department of Chemistry, University of California , Davis, California 95616, United States
| | - Gary S Leiserowitz
- Division of Gynecologic Oncology, UC Davis Medical Center , Sacramento, California 95817, United States
| | - Kyoungmi Kim
- Division of Biostatistics, Department of Public Health Sciences, University of California , Davis, California 95616, United States
| | - L Renee Ruhaak
- Department of Chemistry, University of California , Davis, California 95616, United States.,Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center , 2333 ZA Leiden, The Netherlands
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34
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O'Flaherty R, Trbojević-Akmačić I, Greville G, Rudd PM, Lauc G. The sweet spot for biologics: recent advances in characterization of biotherapeutic glycoproteins. Expert Rev Proteomics 2017; 15:13-29. [PMID: 29130774 DOI: 10.1080/14789450.2018.1404907] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Glycosylation is recognized as a Critical Quality Attribute for therapeutic glycoproteins such as monoclonal antibodies, fusion proteins and therapeutic replacement enzymes. Hence, efficient and quantitative glycan analysis techniques have been increasingly important for their discovery, development and quality control. The aim of this review is to highlight relevant and recent advances in analytical technologies for characterization of biotherapeutic glycoproteins. Areas covered: The review gives an overview of the glycosylation trends of biotherapeutics approved in 2016 and 2017 by FDA. It describes current and novel analytical technologies for characterization of therapeutic glycoproteins and is explored in the context of released glycan, glycopeptide or intact glycoprotein analysis. Ultra performance liquid chromatography, mass spectrometry and capillary electrophoresis technologies are explored in this context. Expert commentary: There is a need for the biopharmaceutical industry to incorporate novel state of the art analytical technologies into existing and new therapeutic glycoprotein workflows for safer and more efficient biotherapeutics and for the improvement of future biotherapeutic design. Additionally, at present, there is no 'gold-standard' approach to address all the regulatory requirements and as such this will involve the use of orthogonal glycoanalytical technologies with a view to gain diagnostic information about the therapeutic glycoprotein.
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Affiliation(s)
- Róisín O'Flaherty
- a NIBRT GlycoScience Group , National Institute for Bioprocessing, Research and Training , Blackrock, Co. Dublin , Ireland
| | | | - Gordon Greville
- a NIBRT GlycoScience Group , National Institute for Bioprocessing, Research and Training , Blackrock, Co. Dublin , Ireland
| | - Pauline M Rudd
- a NIBRT GlycoScience Group , National Institute for Bioprocessing, Research and Training , Blackrock, Co. Dublin , Ireland
| | - Gordan Lauc
- b Genos Glycoscience Research Laboratory , 10000 , Zagreb , Croatia.,c Faculty of Pharmacy and Biochemistry , University of Zagreb , Zagreb , Croatia
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35
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Saldova R, Haakensen VD, Rødland E, Walsh I, Stöckmann H, Engebraaten O, Børresen-Dale AL, Rudd PM. Serum N-glycome alterations in breast cancer during multimodal treatment and follow-up. Mol Oncol 2017; 11:1361-1379. [PMID: 28657165 PMCID: PMC5623820 DOI: 10.1002/1878-0261.12105] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Revised: 06/01/2017] [Accepted: 06/01/2017] [Indexed: 11/09/2022] Open
Abstract
Using our recently developed high-throughput automated platform, N-glycans from all serum glycoproteins from patients with breast cancer were analysed at diagnosis, after neoadjuvant chemotherapy, surgery, radiotherapy and up to 3 years after surgery. Surprisingly, alterations in the serum N-glycome after chemotherapy were pro-inflammatory with an increase in glycan structures associated with cancer. Surgery, on the other hand, induced anti-inflammatory changes in the serum N-glycome, towards a noncancerous phenotype. At the time of first follow-up, glycosylation in patients with affected lymph nodes changed towards a malignant phenotype. C-reactive protein showed a different pattern, increasing after first line of neoadjuvant chemotherapy, then decreasing throughout treatment until 1 year after surgery. This may reflect a switch from acute to chronic inflammation, where chronic inflammation is reflected in the serum after the acute phase response subsides. In conclusion, we here present the first time-course serum N-glycome profiling of patients with breast cancer during and after treatment. We identify significant glycosylation changes with chemotherapy, surgery and follow-up, reflecting the host response to therapy and tumour removal.
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Affiliation(s)
- Radka Saldova
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Dublin, Ireland
| | - Vilde D Haakensen
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Norway
| | - Einar Rødland
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Norway
| | - Ian Walsh
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Henning Stöckmann
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Dublin, Ireland
| | - Olav Engebraaten
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Norway.,Department of Oncology, Oslo University Hospital, Norway
| | - Anne-Lise Børresen-Dale
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Norway.,Institute for Clinical Medicine, University of Oslo, Norway
| | - Pauline M Rudd
- NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Dublin, Ireland
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36
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An engineered high affinity Fbs1 carbohydrate binding protein for selective capture of N-glycans and N-glycopeptides. Nat Commun 2017; 8:15487. [PMID: 28534482 PMCID: PMC5457524 DOI: 10.1038/ncomms15487] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 03/31/2017] [Indexed: 12/13/2022] Open
Abstract
A method for selective and comprehensive enrichment of N-linked glycopeptides was developed to facilitate detection of micro-heterogeneity of N-glycosylation. The method takes advantage of the inherent properties of Fbs1, which functions within the ubiquitin-mediated degradation system to recognize the common core pentasaccharide motif (Man3GlcNAc2) of N-linked glycoproteins. We show that Fbs1 is able to bind diverse types of N-linked glycomolecules; however, wild-type Fbs1 preferentially binds high-mannose-containing glycans. We identified Fbs1 variants through mutagenesis and plasmid display selection, which possess higher affinity and improved recovery of complex N-glycomolecules. In particular, we demonstrate that the Fbs1 GYR variant may be employed for substantially unbiased enrichment of N-linked glycopeptides from human serum. Most importantly, this highly efficient N-glycopeptide enrichment method enables the simultaneous determination of N-glycan composition and N-glycosites with a deeper coverage (compared to lectin enrichment) and improves large-scale N-glycoproteomics studies due to greatly reduced sample complexity. Protein glycosylation is an essential post-translational modification which analysis is complicated by the diversity of glycan composition and heterogeneity at individual attachment sites. Here the authors describe a method to selectively enrich N-linked glycopeptides to facilitate the detection of micro-heterogeneity in N-glycosylation.
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37
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Hofmann J, Stuckmann A, Crispin M, Harvey DJ, Pagel K, Struwe WB. Identification of Lewis and Blood Group Carbohydrate Epitopes by Ion Mobility-Tandem-Mass Spectrometry Fingerprinting. Anal Chem 2017; 89:2318-2325. [PMID: 28192913 DOI: 10.1021/acs.analchem.6b03853] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Glycans have several elements that contribute to their structural complexity, involving a range of monosaccharide building blocks, configuration of linkages between residues and various degrees of branching on a given structure. Their analysis remains challenging and resolving minor isomeric variants can be difficult, in particular terminal fucosylated Lewis and blood group antigens present on N- and O-glycans. Accurately characterizing these isomeric structures by current techniques is not straightforward and typically requires a combination of methods and/or sample derivatization. Yet the ability to monitor the occurrence of these epitopes is important as structural changes are associated with several human diseases. The use of ion mobility-mass spectrometry (IM-MS), which separates ions in the gas phase based on their size, charge and shape, offers a new potential tool for glycan analysis and recent reports have demonstrated its potential for glycomics. Here we show that Lewis and blood group isomers, which have identical fragmentation spectra, exhibit very distinctive IM drift times and collision cross sections (CCS). We show that IM-MS/MS analysis can rapidly and accurately differentiate epitopes from parotid gland N-glycans and milk oligosaccharides based on fucosylated fragment ions with characteristic CCSs.
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Affiliation(s)
- Johanna Hofmann
- Fritz Haber Institute of the Max Planck Society , Faradayweg 4-6, 14195 Berlin, Germany.,Institut für Chemie und Biochemie, Freien Universität Berlin , Takustrasse 3, 14195 Berlin, Germany
| | - Alexandra Stuckmann
- Institut für Chemie und Biochemie, Freien Universität Berlin , Takustrasse 3, 14195 Berlin, Germany
| | - Max Crispin
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford , OX1 3QU Oxford, United Kingdom
| | - David J Harvey
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford , OX1 3QU Oxford, United Kingdom
| | - Kevin Pagel
- Fritz Haber Institute of the Max Planck Society , Faradayweg 4-6, 14195 Berlin, Germany.,Institut für Chemie und Biochemie, Freien Universität Berlin , Takustrasse 3, 14195 Berlin, Germany
| | - Weston B Struwe
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford , OX1 3QU Oxford, United Kingdom
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38
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Adamczyk B, Stöckmann H, O'Flaherty R, Karlsson NG, Rudd PM. High-Throughput Analysis of the Plasma N-Glycome by UHPLC. Methods Mol Biol 2017; 1503:97-108. [PMID: 27743361 DOI: 10.1007/978-1-4939-6493-2_8] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The understanding of glycosylation alterations in health and disease has evolved significantly and glycans are considered to be relevant biomarker candidates. High-throughput analytical technologies capable of generating high-quality, large-scale glycoprofiling data are in high demand. Here, we describe an automated sample preparation workflow and analysis of N-linked glycans from plasma samples using hydrophilic interaction liquid chromatography with fluorescence detection on an ultrahigh-performance liquid chromatography (UHPLC) instrument. Samples are prepared in 96-well plates and the workflow features rapid glycoprotein denaturation, enzymatic glycan release, glycan purification on solid-supported hydrazide, fluorescent labeling, and post-labeling cleanup with solid-phase extraction. The development of a novel approach for plasma N-glycan analysis and its implementation on a robotic platform significantly reduces the time required for sample preparation and minimizes technical variation. It is anticipated that the developed method will contribute to expanding high-throughput capabilities to analyze protein glycosylation.
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Affiliation(s)
- Barbara Adamczyk
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Box 440, 405 30, Gothenburg, Sweden.,NIBRT GlycoScience Group, NIBRT-The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co., Dublin, Ireland
| | - Henning Stöckmann
- NIBRT GlycoScience Group, NIBRT-The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co., Dublin, Ireland.,AbbVie Inc., North Chicago, IL, USA
| | - Róisín O'Flaherty
- NIBRT GlycoScience Group, NIBRT-The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co., Dublin, Ireland
| | - Niclas G Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Box 440, 405 30, Gothenburg, Sweden
| | - Pauline M Rudd
- NIBRT GlycoScience Group, NIBRT-The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co., Dublin, Ireland.
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39
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40
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Lee LY, Moh ESX, Parker BL, Bern M, Packer NH, Thaysen-Andersen M. Toward Automated N-Glycopeptide Identification in Glycoproteomics. J Proteome Res 2016; 15:3904-3915. [DOI: 10.1021/acs.jproteome.6b00438] [Citation(s) in RCA: 89] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Ling Y. Lee
- Department
of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Edward S. X. Moh
- Department
of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Benjamin L. Parker
- Charles
Perkins Centre, School of Molecular Bioscience, The University of Sydney, Sydney, Australia
| | - Marshall Bern
- Protein Metrics
Inc., San Carlos, California 94070, United States
| | - Nicolle H. Packer
- Department
of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Morten Thaysen-Andersen
- Department
of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW 2109, Australia
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41
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Adamczyk B, Albrecht S, Stöckmann H, Ghoneim IM, Al-Eknah M, Al-Busadah KAS, Karlsson NG, Carrington SD, Rudd PM. Pregnancy-Associated Changes of IgG and Serum N-Glycosylation in Camel (Camelus dromedarius). J Proteome Res 2016; 15:3255-65. [DOI: 10.1021/acs.jproteome.6b00439] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Barbara Adamczyk
- GlycoScience
Group, NIBRT−The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
- Department
of Medical Biochemistry and Cell Biology, Institute of Biomedicine,
Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Simone Albrecht
- GlycoScience
Group, NIBRT−The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
| | - Henning Stöckmann
- GlycoScience
Group, NIBRT−The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
| | | | | | | | - Niclas G. Karlsson
- Department
of Medical Biochemistry and Cell Biology, Institute of Biomedicine,
Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Stephen D. Carrington
- School
of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Pauline M. Rudd
- GlycoScience
Group, NIBRT−The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
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42
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Albrecht S, Vainauskas S, Stöckmann H, McManus C, Taron CH, Rudd PM. Comprehensive Profiling of Glycosphingolipid Glycans Using a Novel Broad Specificity Endoglycoceramidase in a High-Throughput Workflow. Anal Chem 2016; 88:4795-802. [PMID: 27033327 DOI: 10.1021/acs.analchem.6b00259] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The biological function of glycosphingolipids (GSLs) is largely determined by their glycan headgroup moiety. This has placed a renewed emphasis on detailed GSL headgroup structural analysis. Comprehensive profiling of GSL headgroups in biological samples requires the use of endoglycoceramidases with broad substrate specificity and a robust workflow that enables their high-throughput analysis. We present here the first high-throughput glyco-analytical platform for GSL headgroup profiling. The workflow features enzymatic release of GSL glycans with a novel broad-specificity endoglycoceramidase I (EGCase I) from Rhodococcus triatomea, selective glycan capture on hydrazide beads on a robotics platform, 2AB-fluorescent glycan labeling, and analysis by UPLC-HILIC-FLD. R. triatomea EGCase I displayed a wider specificity than known EGCases and was able to efficiently hydrolyze gangliosides, globosides, (n)Lc-type GSLs, and cerebrosides. Our workflow was validated on purified GSL standard lipids and was applied to the characterization of GSLs extracted from several mammalian cell lines and human serum. This study should facilitate the analytical workflow in functional glycomics studies and biomarker discovery.
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Affiliation(s)
- Simone Albrecht
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and Training , Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland
| | | | - Henning Stöckmann
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and Training , Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland
| | - Ciara McManus
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and Training , Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland
| | | | - Pauline M Rudd
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and Training , Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland
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43
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Hamfjord J, Saldova R, Stöckmann H, Sandhu V, Bowitz Lothe IM, Buanes T, Lingjærde OC, Labori KJ, Rudd PM, Kure EH. Serum N-Glycome Characterization in Patients with Resectable Periampullary Adenocarcinoma. J Proteome Res 2015; 14:5144-56. [PMID: 26515733 DOI: 10.1021/acs.jproteome.5b00395] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
| | - Radka Saldova
- NIBRT
GlycoScience Group, The National Institute for Bioprocessing Research and Training, Dublin, Ireland
| | - Henning Stöckmann
- NIBRT
GlycoScience Group, The National Institute for Bioprocessing Research and Training, Dublin, Ireland
| | - Vandana Sandhu
- Department
of Environmental and Health Studies, Faculty of Arts and Sciences, Telemark University College, 3800 Bo in Telemark, Norway
| | | | | | | | | | - Pauline M. Rudd
- NIBRT
GlycoScience Group, The National Institute for Bioprocessing Research and Training, Dublin, Ireland
| | - Elin H. Kure
- Department
of Environmental and Health Studies, Faculty of Arts and Sciences, Telemark University College, 3800 Bo in Telemark, Norway
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44
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Clerc F, Reiding KR, Jansen BC, Kammeijer GSM, Bondt A, Wuhrer M. Human plasma protein N-glycosylation. Glycoconj J 2015; 33:309-43. [PMID: 26555091 PMCID: PMC4891372 DOI: 10.1007/s10719-015-9626-2] [Citation(s) in RCA: 293] [Impact Index Per Article: 32.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Revised: 09/30/2015] [Accepted: 10/05/2015] [Indexed: 01/09/2023]
Abstract
Glycosylation is the most abundant and complex protein modification, and can have a profound structural and functional effect on the conjugate. The oligosaccharide fraction is recognized to be involved in multiple biological processes, and to affect proteins physical properties, and has consequentially been labeled a critical quality attribute of biopharmaceuticals. Additionally, due to recent advances in analytical methods and analysis software, glycosylation is targeted in the search for disease biomarkers for early diagnosis and patient stratification. Biofluids such as saliva, serum or plasma are of great use in this regard, as they are easily accessible and can provide relevant glycosylation information. Thus, as the assessment of protein glycosylation is becoming a major element in clinical and biopharmaceutical research, this review aims to convey the current state of knowledge on the N-glycosylation of the major plasma glycoproteins alpha-1-acid glycoprotein, alpha-1-antitrypsin, alpha-1B-glycoprotein, alpha-2-HS-glycoprotein, alpha-2-macroglobulin, antithrombin-III, apolipoprotein B-100, apolipoprotein D, apolipoprotein F, beta-2-glycoprotein 1, ceruloplasmin, fibrinogen, immunoglobulin (Ig) A, IgG, IgM, haptoglobin, hemopexin, histidine-rich glycoprotein, kininogen-1, serotransferrin, vitronectin, and zinc-alpha-2-glycoprotein. In addition, the less abundant immunoglobulins D and E are included because of their major relevance in immunology and biopharmaceutical research. Where available, the glycosylation is described in a site-specific manner. In the discussion, we put the glycosylation of individual proteins into perspective and speculate how the individual proteins may contribute to a total plasma N-glycosylation profile determined at the released glycan level.
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Affiliation(s)
- Florent Clerc
- Center for Proteomics and Metabolomics, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Karli R Reiding
- Center for Proteomics and Metabolomics, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Bas C Jansen
- Center for Proteomics and Metabolomics, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Guinevere S M Kammeijer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Albert Bondt
- Center for Proteomics and Metabolomics, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands.,Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands. .,Division of BioAnalytical Chemistry, VU University Amsterdam, Amsterdam, The Netherlands.
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45
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Saldova R, Stöckmann H, O’Flaherty R, Lefeber DJ, Jaeken J, Rudd PM. N-Glycosylation of Serum IgG and Total Glycoproteins in MAN1B1 Deficiency. J Proteome Res 2015; 14:4402-12. [DOI: 10.1021/acs.jproteome.5b00709] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Radka Saldova
- NIBRT
GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland
| | - Henning Stöckmann
- NIBRT
GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland
| | - Roisin O’Flaherty
- NIBRT
GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland
| | - Dirk J. Lefeber
- Department
of Neurology, Translational Metabolic Laboratory, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Jaak Jaeken
- Centre
for Metabolic Diseases, University Hospital Gasthuisberg, Leuven, Belgium
| | - Pauline M. Rudd
- NIBRT
GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland
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