1
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Chia S, Tay SJ, Song Z, Yang Y, Walsh I, Pang KT. Enhancing pharmacokinetic and pharmacodynamic properties of recombinant therapeutic proteins by manipulation of sialic acid content. Biomed Pharmacother 2023; 163:114757. [PMID: 37087980 DOI: 10.1016/j.biopha.2023.114757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/13/2023] [Accepted: 04/20/2023] [Indexed: 04/25/2023] Open
Abstract
The circulatory half-life of recombinant therapeutic proteins is an important pharmacokinetic attribute because it determines the dosing frequency of these drugs, translating directly to treatment cost. Thus, recombinant therapeutic glycoproteins such as monoclonal antibodies have been chemically modified by various means to enhance their circulatory half-life. One approach is to manipulate the N-glycan composition of these agents. Among the many glycan constituents, sialic acid (specifically, N-acetylneuraminic acid) plays a critical role in extending circulatory half-life by masking the terminal galactose that would otherwise be recognised by the hepatic asialoglycoprotein receptor (ASGPR), resulting in clearance of the biotherapeutic from the circulation. This review aims to provide an illustrative overview of various strategies to enhance the pharmacokinetic/pharmacodynamic properties of recombinant therapeutic proteins through manipulation of their sialic acid content.
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Affiliation(s)
- Sean Chia
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06-01, Centros, 138668, Singapore
| | - Shi Jie Tay
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06-01, Centros, 138668, Singapore
| | - Zhiwei Song
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06-01, Centros, 138668, Singapore
| | - Yuansheng Yang
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06-01, Centros, 138668, Singapore
| | - Ian Walsh
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06-01, Centros, 138668, Singapore.
| | - Kuin Tian Pang
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06-01, Centros, 138668, Singapore; School of Chemistry, Chemical Engineering, and Biotechnology, Nanyang Technology University, 62 Nanyang Drive, N1.2-B3, 637459, Singapore.
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2
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Puranik A, Goswami R, Sutar P, Tupe D, Rasam P, Dandekar P, Jain R. Mass spectrometry-based glycoprofiling of biopharmaceuticals by using an automated data processing tool: SimGlycan ®. J Sep Sci 2023; 46:e2200521. [PMID: 36463509 DOI: 10.1002/jssc.202200521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 11/15/2022] [Accepted: 11/22/2022] [Indexed: 12/05/2022]
Abstract
The therapeutic and immunological properties of biopharmaceuticals are governed by the glycoforms contained in them. Thus, bioinformatics tools capable of performing comprehensive characterization of glycans are significantly important to the biopharma industry. The primary structural elucidation of glycans using mass spectrometry is tricky and tedious in terms of spectral interpretation. In this study, the biosimilars of a therapeutic monoclonal antibody and an Fc-fusion protein with moderate and heavy glycosylation, respectively, were employed as representative biopharmaceuticals for released glycan analysis using liquid chromatography-tandem mass spectrometry instead of conventional mass spectrometry-based analysis. SimGlycan® is a software with proven ability to process tandem MS data for released glycans could identify eight additional glycoforms in Fc-fusion protein biosimilar, which were not detected during mass spectrometry analysis of released glycans or glyco-peptide mapping of the same molecule. Thus, liquid chromatography-tandem mass spectrometry analysis of released glycans not only complements conventional liquid chromatography-mass spectrometry-based glycan profiling but can also identify additional glycan structures that may otherwise be omitted during conventional liquid chromatography-tandem mass spectrometry based analysis of mAbs. The mass spectrometry data processing tools, such as PMI Byos™, SimGlycan® , etc., can display pivotal analytical capabilities in automated liquid chromatography-mass spectrometry and liquid chromatography-tandem mass spectrometry-based glycan analysis workflows, especially for high-throughput structural characterization of glycoforms in biopharmaceuticals.
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Affiliation(s)
- Amita Puranik
- Department of Chemical Engineering, Institute of Chemical Technology, Mumbai, India
| | | | | | - Devika Tupe
- Shimadzu Analytical (India) Private Limited, Mumbai, India
| | - Pratap Rasam
- Shimadzu Analytical (India) Private Limited, Mumbai, India
| | - Prajakta Dandekar
- Department of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Mumbai, India
| | - Ratnesh Jain
- Department of Chemical Engineering, Institute of Chemical Technology, Mumbai, India
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3
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Mao L, Schneider JW, Robinson AS. Progress toward rapid, at-line N-glycosylation detection and control for recombinant protein expression. Curr Opin Biotechnol 2022; 78:102788. [PMID: 36126382 DOI: 10.1016/j.copbio.2022.102788] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 08/06/2022] [Accepted: 08/07/2022] [Indexed: 12/14/2022]
Abstract
Proteins continue to represent a large fraction of the therapeutics market, reaching over a hundred billion dollars in market size globally. One key feature of protein modification that can affect both structure and function is the addition of glycosylation following protein folding, leading to regulatory requirements for the accurate assessment of protein attributes, including glycan structures. The non-template-driven, innately heterogeneous N-glycosylation process thus requires accurate detection to robustly generate protein therapies. A challenge exists in the timely detection of protein glycosylation without labor-intensive manipulation. In this article, we discuss progress toward N-glycoprotein control, focusing on novel control strategies and the advancement of rapid, high-throughput analysis methods.
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Affiliation(s)
- Leran Mao
- Department of Chemical Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA
| | - James W Schneider
- Department of Chemical Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA
| | - Anne S Robinson
- Department of Chemical Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA.
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4
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Trbojević-Akmačić I, Lageveen-Kammeijer GSM, Heijs B, Petrović T, Deriš H, Wuhrer M, Lauc G. High-Throughput Glycomic Methods. Chem Rev 2022; 122:15865-15913. [PMID: 35797639 PMCID: PMC9614987 DOI: 10.1021/acs.chemrev.1c01031] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Glycomics aims to identify the structure and function of the glycome, the complete set of oligosaccharides (glycans), produced in a given cell or organism, as well as to identify genes and other factors that govern glycosylation. This challenging endeavor requires highly robust, sensitive, and potentially automatable analytical technologies for the analysis of hundreds or thousands of glycomes in a timely manner (termed high-throughput glycomics). This review provides a historic overview as well as highlights recent developments and challenges of glycomic profiling by the most prominent high-throughput glycomic approaches, with N-glycosylation analysis as the focal point. It describes the current state-of-the-art regarding levels of characterization and most widely used technologies, selected applications of high-throughput glycomics in deciphering glycosylation process in healthy and disease states, as well as future perspectives.
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Affiliation(s)
| | | | - Bram Heijs
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Tea Petrović
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
| | - Helena Deriš
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
| | - Manfred Wuhrer
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Gordan Lauc
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
- Faculty
of Pharmacy and Biochemistry, University
of Zagreb, A. Kovačića 1, 10 000 Zagreb, Croatia
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5
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Zhang S, Cao Z, Fan P, Wang Y, Jia W, Wang L, Wang K, Liu Y, Du X, Hu C, Zhang P, Chen HY, Huang S. A Nanopore‐Based Saccharide Sensor. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202203769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
| | | | | | | | | | | | | | - Yao Liu
- Nanjing University Chemistry CHINA
| | | | | | | | | | - Shuo Huang
- Nanjing University Chemistry 163 Xianlin AveSchool of Chemistry and Chemical EngineeringXixia District 210023 Nanjing CHINA
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6
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Zhang S, Cao Z, Fan P, Wang Y, Jia W, Wang L, Wang K, Liu Y, Du X, Hu C, Zhang P, Chen HY, Huang S. A Nanopore-Based Saccharide Sensor. Angew Chem Int Ed Engl 2022; 61:e202203769. [PMID: 35718742 DOI: 10.1002/anie.202203769] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Indexed: 12/19/2022]
Abstract
Saccharides play critical roles in many forms of cellular activities. Saccharide structures are however complicated and similar, setting a technical hurdle for direct identification. Nanopores, which are emerging single molecule tools sensitive to minor structural differences between analytes, can be engineered to identity saccharides. A hetero-octameric Mycobacterium smegmatis porin A nanopore containing a phenylboronic acid was prepared, and was able to clearly identify nine monosaccharide types, including D-fructose, D-galactose, D-mannose, D-glucose, L-sorbose, D-ribose, D-xylose, L-rhamnose and N-acetyl-D-galactosamine. Minor structural differences between saccharide epimers can also be distinguished. To assist automatic event classification, a machine learning algorithm was developed, with which a general accuracy score of 0.96 was achieved. This sensing strategy is generally suitable for other saccharide types and may bring new insights to nanopore saccharide sequencing.
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Affiliation(s)
- Shanyu Zhang
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.,Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, China
| | - Zhenyuan Cao
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.,Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, China
| | - Pingping Fan
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.,Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, China
| | - Yuqin Wang
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.,Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, China
| | - Wendong Jia
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.,Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, China
| | - Liying Wang
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.,Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, China
| | - Kefan Wang
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.,Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, China
| | - Yao Liu
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.,Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, China
| | - Xiaoyu Du
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.,Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, China
| | - Chengzhen Hu
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.,Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, China
| | - Panke Zhang
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China
| | - Hong-Yuan Chen
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China
| | - Shuo Huang
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.,Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, 210023, Nanjing, China
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7
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Donohoo KB, Wang J, Goli M, Yu A, Peng W, Hakim MA, Mechref Y. Advances in mass spectrometry-based glycomics-An update covering the period 2017-2021. Electrophoresis 2021; 43:119-142. [PMID: 34505713 DOI: 10.1002/elps.202100199] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/20/2021] [Accepted: 08/25/2021] [Indexed: 12/21/2022]
Abstract
The wide variety of chemical properties and biological functions found in proteins is attained via post-translational modifications like glycosylation. Covalently bonded to proteins, glycans play a critical role in cell activity. Complex structures with microheterogeneity, the glycan structures that are associated with proteins are difficult to analyze comprehensively. Recent advances in sample preparation methods, separation techniques, and MS have facilitated the quantitation and structural elucidation of glycans. This review focuses on highlighting advances in MS-based techniques for glycomic analysis that occurred over the last 5 years (2017-2021) as an update to the previous review on the subject. The topics of discussion will include progress in glycomic workflow such as glycan release, purification, derivatization, and separation as well as the topics of ionization, tandem MS, and separation techniques that can be coupled with MS. Additionally, bioinformatics tools used for the analysis of glycans will be described.
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Affiliation(s)
- Kaitlyn B Donohoo
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Junyao Wang
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Mona Goli
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Aiying Yu
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Wenjing Peng
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Md Abdul Hakim
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas
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8
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Ferreira JA, Relvas-Santos M, Peixoto A, M N Silva A, Lara Santos L. Glycoproteogenomics: Setting the Course for Next-generation Cancer Neoantigen Discovery for Cancer Vaccines. GENOMICS, PROTEOMICS & BIOINFORMATICS 2021; 19:25-43. [PMID: 34118464 PMCID: PMC8498922 DOI: 10.1016/j.gpb.2021.03.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 01/25/2021] [Accepted: 03/01/2021] [Indexed: 12/24/2022]
Abstract
Molecular-assisted precision oncology gained tremendous ground with high-throughput next-generation sequencing (NGS), supported by robust bioinformatics. The quest for genomics-based cancer medicine set the foundations for improved patient stratification, while unveiling a wide array of neoantigens for immunotherapy. Upfront pre-clinical and clinical studies have successfully used tumor-specific peptides in vaccines with minimal off-target effects. However, the low mutational burden presented by many lesions challenges the generalization of these solutions, requiring the diversification of neoantigen sources. Oncoproteogenomics utilizing customized databases for protein annotation by mass spectrometry (MS) is a powerful tool toward this end. Expanding the concept toward exploring proteoforms originated from post-translational modifications (PTMs) will be decisive to improve molecular subtyping and provide potentially targetable functional nodes with increased cancer specificity. Walking through the path of systems biology, we highlight that alterations in protein glycosylation at the cell surface not only have functional impact on cancer progression and dissemination but also originate unique molecular fingerprints for targeted therapeutics. Moreover, we discuss the outstanding challenges required to accommodate glycoproteomics in oncoproteogenomics platforms. We envisage that such rationale may flag a rather neglected research field, generating novel paradigms for precision oncology and immunotherapy.
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Affiliation(s)
- José Alexandre Ferreira
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto 4200-072, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto 4050-313, Portugal; Porto Comprehensive Cancer Center (P.ccc), Porto 4200-072, Portugal.
| | - Marta Relvas-Santos
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto 4200-072, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto 4050-313, Portugal; REQUIMTE-LAQV, Department of Chemistry and Biochemistry, Faculty of Sciences of the University of Porto, Porto 4169-007, Portugal
| | - Andreia Peixoto
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto 4200-072, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto 4050-313, Portugal
| | - André M N Silva
- REQUIMTE-LAQV, Department of Chemistry and Biochemistry, Faculty of Sciences of the University of Porto, Porto 4169-007, Portugal
| | - Lúcio Lara Santos
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto 4200-072, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto 4050-313, Portugal; Porto Comprehensive Cancer Center (P.ccc), Porto 4200-072, Portugal
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9
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Pallister EG, Choo MSF, Walsh I, Tai JN, Tay SJ, Yang YS, Ng SK, Rudd PM, Flitsch SL, Nguyen-Khuong T. Utility of Ion-Mobility Spectrometry for Deducing Branching of Multiply Charged Glycans and Glycopeptides in a High-Throughput Positive ion LC-FLR-IMS-MS Workflow. Anal Chem 2020; 92:15323-15335. [DOI: 10.1021/acs.analchem.0c01954] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Edward G. Pallister
- Bioprocessing Technology Institute, Agency for Science Technology and Research, 20 Biopolis Way, Biopolis 138668, Singapore
- School of Chemistry & Manchester Institute of Biotechnology (MIB), The University of Manchester, Princess Street, Manchester M1 7DN, United Kingdom
| | - Matthew S. F. Choo
- Bioprocessing Technology Institute, Agency for Science Technology and Research, 20 Biopolis Way, Biopolis 138668, Singapore
| | - Ian Walsh
- Bioprocessing Technology Institute, Agency for Science Technology and Research, 20 Biopolis Way, Biopolis 138668, Singapore
| | - Jien Nee Tai
- Bioprocessing Technology Institute, Agency for Science Technology and Research, 20 Biopolis Way, Biopolis 138668, Singapore
| | - Shi Jie Tay
- Bioprocessing Technology Institute, Agency for Science Technology and Research, 20 Biopolis Way, Biopolis 138668, Singapore
| | - Yuan Sheng Yang
- Bioprocessing Technology Institute, Agency for Science Technology and Research, 20 Biopolis Way, Biopolis 138668, Singapore
| | - Say Kong Ng
- Bioprocessing Technology Institute, Agency for Science Technology and Research, 20 Biopolis Way, Biopolis 138668, Singapore
| | - Pauline M. Rudd
- Bioprocessing Technology Institute, Agency for Science Technology and Research, 20 Biopolis Way, Biopolis 138668, Singapore
| | - Sabine L. Flitsch
- School of Chemistry & Manchester Institute of Biotechnology (MIB), The University of Manchester, Princess Street, Manchester M1 7DN, United Kingdom
| | - Terry Nguyen-Khuong
- Bioprocessing Technology Institute, Agency for Science Technology and Research, 20 Biopolis Way, Biopolis 138668, Singapore
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10
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Gray CJ, Compagnon I, Flitsch SL. Mass spectrometry hybridized with gas-phase InfraRed spectroscopy for glycan sequencing. Curr Opin Struct Biol 2020; 62:121-131. [PMID: 31981952 DOI: 10.1016/j.sbi.2019.12.014] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 12/12/2019] [Accepted: 12/23/2019] [Indexed: 11/29/2022]
Abstract
Precise structural differentiation of often isomeric glycans is important given their roles in numerous biological processes. Mass spectrometry (MS) (and tandem MS) is one of the analytical techniques at the forefront of glycan analysis given its speed, sensitivity in producing structural information as well as the fact it can be coupled to other orthogonal analytical techniques such as liquid chromatography (LC) and ion mobility spectrometry (IMS). This review describes another family of techniques that are more commonly being hybridized to MS(/MS) namely gas-phase infrared (IR) spectroscopy, whose rise is in part due to the development and improved accessibility of tunable IR lasers. Gas-phase IR can often differentiate fine isomeric differences ubiquitous within carbohydrates that MS may be 'blind' to. There are also examples of cryogenic gas-phase IR spectroscopy with much greater spectral resolution as well as hybridizing with separative methods (LC, IMS). Furthermore, collision-induced dissociation (CID) product ions can also be probed by IR, which may be beneficial to deconvolute spectra, aid analysis and build spectral libraries, thus generating novel opportunities for fragment-based approaches to analyze glycans.
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Affiliation(s)
- Christopher John Gray
- School of Chemistry & Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
| | - Isabelle Compagnon
- Univ. Lyon, Université Claude Bernard Lyon 1, CNRS, Institut Lumière Matière, F-69622 Villeurbanne, France.
| | - Sabine L Flitsch
- School of Chemistry & Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7DN, UK.
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11
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Dyukova I, Carrascosa E, Pellegrinelli RP, Rizzo TR. Combining Cryogenic Infrared Spectroscopy with Selective Enzymatic Cleavage for Determining Glycan Primary Structure. Anal Chem 2020; 92:1658-1662. [PMID: 31898462 DOI: 10.1021/acs.analchem.9b04776] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Given the biological relevance and intrinsic structural complexity of glycans, increasing efforts are being directed toward developing a general glycan database that includes information from different analytical methods. As recently demonstrated, cryogenic infrared (IR) spectroscopy is a promising technique for glycan analysis, as it provides unique vibrational fingerprints of specific glycan isomer ions. One of the main goals of a glycan database is the identification and detailed characterization of unknown species. In this work, we combine enzymatic digestion with cryogenic IR-spectroscopy and demonstrate how it can be used for glycan identification. We measured the IR-spectra of a series of cationic glycan standards of increasing complexity and compared them with spectra of the same species after enzymatic cleavage of larger glycans. We show that the cryogenic IR spectra of the cleaved glycans are highly structured and virtually identical to those of standards after both single and multiple cleavages. Our results suggest that the combination of these methods represents a potentially powerful and specific approach for the characterization of unknown glycans.
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Affiliation(s)
- Irina Dyukova
- Laboratoire de Chimie Physique Moléculaire , École Polytechnique Fédérale de Lausanne, EPFL SB ISIC LCPM , Station 6, CH-1015 Lausanne , Switzerland
| | - Eduardo Carrascosa
- Laboratoire de Chimie Physique Moléculaire , École Polytechnique Fédérale de Lausanne, EPFL SB ISIC LCPM , Station 6, CH-1015 Lausanne , Switzerland
| | - Robert P Pellegrinelli
- Laboratoire de Chimie Physique Moléculaire , École Polytechnique Fédérale de Lausanne, EPFL SB ISIC LCPM , Station 6, CH-1015 Lausanne , Switzerland
| | - Thomas R Rizzo
- Laboratoire de Chimie Physique Moléculaire , École Polytechnique Fédérale de Lausanne, EPFL SB ISIC LCPM , Station 6, CH-1015 Lausanne , Switzerland
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12
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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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13
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Regan P, McClean PL, Smyth T, Doherty M. Early Stage Glycosylation Biomarkers in Alzheimer's Disease. MEDICINES 2019; 6:medicines6030092. [PMID: 31484367 PMCID: PMC6789538 DOI: 10.3390/medicines6030092] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 08/29/2019] [Accepted: 08/30/2019] [Indexed: 12/14/2022]
Abstract
Alzheimer's disease (AD) is of great cause for concern in our ageing population, which currently lacks diagnostic tools to permit accurate and timely diagnosis for affected individuals. The development of such tools could enable therapeutic interventions earlier in the disease course and thus potentially reducing the debilitating effects of AD. Glycosylation is a common, and important, post translational modification of proteins implicated in a host of disease states resulting in a complex array of glycans being incorporated into biomolecules. Recent investigations of glycan profiles, in a wide range of conditions, has been made possible due to technological advances in the field enabling accurate glycoanalyses. Amyloid beta (Aβ) peptides, tau protein, and other important proteins involved in AD pathogenesis, have altered glycosylation profiles. Crucially, these abnormalities present early in the disease state, are present in the peripheral blood, and help to distinguish AD from other dementias. This review describes the aberrant glycome in AD, focusing on proteins implicated in development and progression, and elucidates the potential of glycome aberrations as early stage biomarkers of AD.
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Affiliation(s)
- Patricia Regan
- Institute of Technology Sligo, Ash Lane, F91 YW50 Sligo, Ireland.
- Cellular Health and Toxicology Research Group, Institute of Technology Sligo, Ash Lane, F91 YW50 Sligo, Ireland.
| | - Paula L McClean
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Clinical Translational Research and Innovation Centre, Altnagelvin Area Hospital, Glenshane Road, Derry BT47 6SB, UK
| | - Thomas Smyth
- Institute of Technology Sligo, Ash Lane, F91 YW50 Sligo, Ireland
- Cellular Health and Toxicology Research Group, Institute of Technology Sligo, Ash Lane, F91 YW50 Sligo, Ireland
| | - Margaret Doherty
- Institute of Technology Sligo, Ash Lane, F91 YW50 Sligo, Ireland
- Cellular Health and Toxicology Research Group, Institute of Technology Sligo, Ash Lane, F91 YW50 Sligo, Ireland
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Gray CJ, Migas LG, Barran PE, Pagel K, Seeberger PH, Eyers CE, Boons GJ, Pohl NLB, Compagnon I, Widmalm G, Flitsch SL. Advancing Solutions to the Carbohydrate Sequencing Challenge. J Am Chem Soc 2019; 141:14463-14479. [PMID: 31403778 DOI: 10.1021/jacs.9b06406] [Citation(s) in RCA: 90] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Carbohydrates possess a variety of distinct features with stereochemistry playing a particularly important role in distinguishing their structure and function. Monosaccharide building blocks are defined by a high density of chiral centers. Additionally, the anomericity and regiochemistry of the glycosidic linkages carry important biological information. Any carbohydrate-sequencing method needs to be precise in determining all aspects of this stereodiversity. Recently, several advances have been made in developing fast and precise analytical techniques that have the potential to address the stereochemical complexity of carbohydrates. This perspective seeks to provide an overview of some of these emerging techniques, focusing on those that are based on NMR and MS-hybridized technologies including ion mobility spectrometry and IR spectroscopy.
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Affiliation(s)
- Christopher J Gray
- School of Chemistry & Manchester Institute of Biotechnology , The University of Manchester , 131 Princess Street , Manchester M1 7DN , U.K
| | - Lukasz G Migas
- School of Chemistry & Manchester Institute of Biotechnology , The University of Manchester , 131 Princess Street , Manchester M1 7DN , U.K
| | - Perdita E Barran
- School of Chemistry & Manchester Institute of Biotechnology , The University of Manchester , 131 Princess Street , Manchester M1 7DN , U.K
| | - Kevin Pagel
- Institute for Chemistry and Biochemistry , Freie Universität Berlin , Takustraße 3 , 14195 Berlin , Germany
| | - Peter H Seeberger
- Biomolecular Systems Department , Max Planck Institute for Colloids and Interfaces , Am Muehlenberg 1 , 14476 Potsdam , Germany
| | - Claire E Eyers
- Department of Biochemistry, Institute of Integrative Biology , University of Liverpool , Crown Street , Liverpool L69 7ZB , U.K
| | - Geert-Jan Boons
- Complex Carbohydrate Research Center , University of Georgia , Athens , Georgia 30602 , United States
| | - Nicola L B Pohl
- Department of Chemistry , Indiana University , Bloomington , Indiana 47405 , United States
| | - Isabelle Compagnon
- Institut Lumière Matière, UMR5306 Université Lyon 1-CNRS , Université de Lyon , 69622 Villeurbanne Cedex , France.,Institut Universitaire de France IUF , 103 Blvd St Michel , 75005 Paris , France
| | - Göran Widmalm
- Department of Organic Chemistry, Arrhenius Laboratory , Stockholm University , S-106 91 Stockholm , Sweden
| | - Sabine L Flitsch
- School of Chemistry & Manchester Institute of Biotechnology , The University of Manchester , 131 Princess Street , Manchester M1 7DN , U.K
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