1
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Yu Y, Song Y, Zhao Y, Wang N, Wei B, Linhardt RJ, Dordick JS, Zhang F, Wang H. Quality control, safety assessment and preparation approaches of low molecular weight heparin. Carbohydr Polym 2024; 339:122216. [PMID: 38823901 DOI: 10.1016/j.carbpol.2024.122216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 04/26/2024] [Accepted: 04/27/2024] [Indexed: 06/03/2024]
Abstract
Low Molecular Weight Heparins (LMWHs) are well-established for use in the prevention and treatment of thrombotic diseases, and as a substitute for unfractionated heparin (UFH) due to their predictable pharmacokinetics and subcutaneous bioavailability. LMWHs are produced by various depolymerization methods from UFH, resulting in heterogeneous compounds with similar biochemical and pharmacological properties. However, the delicate supply chain of UFH and potential contamination from animal sources require new manufacturing approaches for LMWHs. Various LMWH preparation methods are emerging, such as chemical synthesis, enzymatic or chemical depolymerization and chemoenzymatic synthesis. To establish the sameness of active ingredients in both innovator and generic LMWH products, the Food and Drug Administration has implemented a stringent scientific method of equivalence based on physicochemical properties, heparin source material and depolymerization techniques, disaccharide composition and oligosaccharide mapping, biological and biochemical properties, and in vivo pharmacodynamic profiles. In this review, we discuss currently available LMWHs, potential manufacturing methods, and recent progress for manufacturing quality control of these LMWHs.
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Affiliation(s)
- Yanlei Yu
- College of Pharmaceutical Science & Collaborative Innovation Center for Yangtze River Delta Region Green Pharmaceuticals, Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, 310014 Hangzhou, China
| | - Yue Song
- College of Pharmaceutical Science & Collaborative Innovation Center for Yangtze River Delta Region Green Pharmaceuticals, Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, 310014 Hangzhou, China
| | - Yunjie Zhao
- College of Pharmaceutical Science & Collaborative Innovation Center for Yangtze River Delta Region Green Pharmaceuticals, Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, 310014 Hangzhou, China
| | - Ningning Wang
- College of Pharmaceutical Science & Collaborative Innovation Center for Yangtze River Delta Region Green Pharmaceuticals, Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, 310014 Hangzhou, China
| | - Bin Wei
- College of Pharmaceutical Science & Collaborative Innovation Center for Yangtze River Delta Region Green Pharmaceuticals, Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, 310014 Hangzhou, China; Binjiang Cyberspace Security Institute of ZJUT, Hangzhou 310056, China
| | - Robert J Linhardt
- Department of Chemical and Biological Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, United States
| | - Jonathan S Dordick
- Department of Chemical and Biological Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, United States
| | - Fuming Zhang
- Department of Chemical and Biological Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, United States.
| | - Hong Wang
- College of Pharmaceutical Science & Collaborative Innovation Center for Yangtze River Delta Region Green Pharmaceuticals, Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, 310014 Hangzhou, China; Binjiang Cyberspace Security Institute of ZJUT, Hangzhou 310056, China.
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2
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Wang W, Qiu C, Xu F, Ding L, Ding CF. Genetic Algorithm Optimized Printed Circuit Board Ion Funnel Tandem Subambient Pressure Ionization with Nanoelectrospray (SPIN) for High Sensitivity Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023. [PMID: 37463266 DOI: 10.1021/jasms.3c00205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
The SPIN tandem ion funnel (IF) structure allows for highly sensitive mass spectrometry due to reduced ion losses in the interface region and during transmission; however, IF has an inherent mass discrimination problem, which can greatly restrain the ion transmission efficiency (TE) and therefore requires certain optimization methods. Conventional optimization methods ignore the combined effects of multiple IF characteristic parameters (electrical and dimensional parameters) and are unable to achieve efficient ion transmission over a wide mass range, thus requiring significant tuning time. In this paper, a genetic algorithm (GA)-optimized printed circuit board ion funnel (PCBIF) was designed, fabricated, preliminarily evaluated, and integrated into the SPIN interface to address the ion loss that can occur when mass spectrometers transfer ions at subambient pressure. Simulation studies have showed clearly that the effective automated GA can increase the PCBIF optimization, design, and the ion TE (finding the optimal characteristic parameters within 4 h and achieving 96% ion TE for ions with m/z between 50 and 700). Preliminary tests on built SPIN-PCBIF-MS can lead to an LOD of 0.01 nM and also indirectly suggest the effectiveness of the GA-optimized PCBIF. The proposed GA method helps to guide the design of IF and can also be used for other multivariate mass analyzers or ion transmission devices.
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Affiliation(s)
- Weimin Wang
- School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
- Key Laboratory of Advanced Mass spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass spectrometry, Ningbo 315211, China
| | - Chaohui Qiu
- School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
| | - Fuxing Xu
- School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
- Key Laboratory of Advanced Mass spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass spectrometry, Ningbo 315211, China
| | - Li Ding
- School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
- Key Laboratory of Advanced Mass spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass spectrometry, Ningbo 315211, China
| | - Chuan-Fan Ding
- School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
- Key Laboratory of Advanced Mass spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass spectrometry, Ningbo 315211, China
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3
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2017-2018. MASS SPECTROMETRY REVIEWS 2023; 42:227-431. [PMID: 34719822 DOI: 10.1002/mas.21721] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 07/26/2021] [Accepted: 07/26/2021] [Indexed: 06/13/2023]
Abstract
This review is the tenth update of the original article published in 1999 on the application of matrix-assisted laser desorption/ionization mass spectrometry (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2018. Also included are papers that describe methods appropriate to glycan and glycoprotein analysis by MALDI, such as sample preparation techniques, even though the ionization method is not MALDI. Topics covered in the first part of the review include general aspects such as theory of the MALDI process, new methods, matrices, derivatization, MALDI imaging, fragmentation and the use of arrays. The second part of the review is devoted to applications to various structural types such as oligo- and poly-saccharides, glycoproteins, glycolipids, glycosides, and biopharmaceuticals. Most of the applications are presented in tabular form. The third part of the review covers medical and industrial applications of the technique, studies of enzyme reactions, and applications to chemical synthesis. The reported work shows increasing use of combined new techniques such as ion mobility and highlights the impact that MALDI imaging is having across a range of diciplines. MALDI is still an ideal technique for carbohydrate analysis and advancements in the technique and the range of applications continue steady progress.
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Affiliation(s)
- David J Harvey
- Nuffield Department of Medicine, Target Discovery Institute, University of Oxford, Oxford, UK
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4
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Zappe A, Miller RL, Struwe WB, Pagel K. State-of-the-art glycosaminoglycan characterization. MASS SPECTROMETRY REVIEWS 2022; 41:1040-1071. [PMID: 34608657 DOI: 10.1002/mas.21737] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 08/02/2021] [Accepted: 09/22/2021] [Indexed: 06/13/2023]
Abstract
Glycosaminoglycans (GAGs) are heterogeneous acidic polysaccharides involved in a range of biological functions. They have a significant influence on the regulation of cellular processes and the development of various diseases and infections. To fully understand the functional roles that GAGs play in mammalian systems, including disease processes, it is essential to understand their structural features. Despite having a linear structure and a repetitive disaccharide backbone, their structural analysis is challenging and requires elaborate preparative and analytical techniques. In particular, the extent to which GAGs are sulfated, as well as variation in sulfate position across the entire oligosaccharide or on individual monosaccharides, represents a major obstacle. Here, we summarize the current state-of-the-art methodologies used for GAG sample preparation and analysis, discussing in detail liquid chromatograpy and mass spectrometry-based approaches, including advanced ion activation methods, ion mobility separations and infrared action spectroscopy of mass-selected species.
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Affiliation(s)
- Andreas Zappe
- Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Rebecca L Miller
- Department of Cellular and Molecular Medicine, Copenhagen Centre for Glycomics, University of Copenhagen, Copenhagen, Denmark
| | | | - Kevin Pagel
- Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
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5
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Wang H, Wang Y, Hou M, Zhang C, Wang Y, Guo Z, Bu D, Li Y, Huang C, Sun S. HepParser: An Intelligent Software Program for Deciphering Low-Molecular-Weight Heparin Based on Mass Spectrometry. Front Chem 2021; 9:723149. [PMID: 34568278 PMCID: PMC8458631 DOI: 10.3389/fchem.2021.723149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 08/10/2021] [Indexed: 11/17/2022] Open
Abstract
Low-molecular-weight heparins (LMWHs) are considered to be the most successful carbohydrate-based drugs because of their wide use as anticoagulants in clinics. The efficacy of anticoagulants made by LMWHs mainly depends on the components and structures of LMWHs. Therefore, deciphering the components and identifying the structures of LMWHs are critical to developing high-efficiency anticoagulants. However, most LMWHs are mixtures of linear polysaccharides which are comprised of several disaccharide repeating units with high similarity, making it extremely challenging to separate and decipher each component in LMWHs. Here, we present a new algorithm named hepParser to decipher the main components of LMWHs automatically and precisely based on the liquid chromatography/mass spectrometry (LC/MS) data. When tested on the general LMWH using hepParser, profiling of the oligosaccharides with different degrees of polymerization (dp’s) was completed with high accuracy within 1 minute. When compared with the results of GlycReSoft on heparan sulfate samples, hepParser achieved more comprehensive and reasonable results automatically.
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Affiliation(s)
- Hui Wang
- Key Lab of Intelligent Information Processing, State Key Lab of Computer Architecture, Big-data Academy, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yu Wang
- Key Lab of Intelligent Information Processing, State Key Lab of Computer Architecture, Big-data Academy, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Meijie Hou
- Key Lab of Intelligent Information Processing, State Key Lab of Computer Architecture, Big-data Academy, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Chunming Zhang
- Key Lab of Intelligent Information Processing, State Key Lab of Computer Architecture, Big-data Academy, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.,Phil Rivers Technology, Beijing, China
| | - Yaojun Wang
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
| | - Zhendong Guo
- University of Chinese Academy of Sciences, Beijing, China.,Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Dongbo Bu
- Key Lab of Intelligent Information Processing, State Key Lab of Computer Architecture, Big-data Academy, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yan Li
- University of Chinese Academy of Sciences, Beijing, China.,Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Chuncui Huang
- University of Chinese Academy of Sciences, Beijing, China.,Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Shiwei Sun
- Key Lab of Intelligent Information Processing, State Key Lab of Computer Architecture, Big-data Academy, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
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6
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Pepi LE, Leach FE, Klein DR, Brodbelt JS, Amster IJ. Investigation of the Experimental Parameters of Ultraviolet Photodissociation for the Structural Characterization of Chondroitin Sulfate Glycosaminoglycan Isomers. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1759-1770. [PMID: 34096288 PMCID: PMC8377745 DOI: 10.1021/jasms.1c00119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Glycosaminoglycans (GAGs) are linear polysaccharides that participate in a broad range of biological functions. Their incomplete biosynthesis pathway leads to nonuniform chains and complex mixtures. For this reason, the characterization of GAGs has been a difficult hurdle for the analytical community. Recently, ultraviolet photodissociation (UVPD) has emerged as a useful tool for determining sites of modification within a GAG chain. Here, we investigate the ability for UVPD to distinguish chondroitin sulfate epimers and the effects of UVPD experimental parameters on fragmentation efficiency. Chondroitin sulfate A (CS-A) and chondroitin sulfate B (CS-B), commonly referred to as dermatan sulfate (DS), differ only in C-5 uronic acid stereochemistry. This uronic acid difference can influence GAG-protein binding and therefore can alter the specific biological function of a GAG chain. Prior tandem mass spectrometry methods investigated for the elucidation of GAG structures also have difficulty differentiating 4-O from 6-O sulfation in chondroitin sulfate GAGs. Preliminary data using UVPD to characterize GAGs showed a promising ability to characterize 4-O sulfation in CS-A GAGs. Here, we look in depth at the capability of UVPD to distinguish chondroitin sulfate C-5 diastereomers and the role of key experimental parameters in making this distinction. Results using a 193 nm excimer laser and a 213 nm solid-state laser are compared for this study. The effect of precursor ionization state, the number of laser pulses (193 or 213 nm UVPD), and the use of the low-pressure versus high-pressure trap are investigated.
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Affiliation(s)
- Lauren E Pepi
- Department of Chemistry, University of Georgia, Athens, Georgia 30602, United States
| | - Franklin E Leach
- Department of Chemistry, University of Georgia, Athens, Georgia 30602, United States
- Department of Environmental Health Sciences, University of Georgia, Athens, Georgia 30602, United States
| | - Dustin R Klein
- Department of Biochemistry and Mass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee 37232, United States
| | - Jennifer S Brodbelt
- Department of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States
| | - I Jonathan Amster
- Department of Chemistry, University of Georgia, Athens, Georgia 30602, United States
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7
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Song Y, Zhang F, Linhardt RJ. Analysis of the Glycosaminoglycan Chains of Proteoglycans. J Histochem Cytochem 2021; 69:121-135. [PMID: 32623943 PMCID: PMC7841699 DOI: 10.1369/0022155420937154] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 05/29/2020] [Indexed: 12/16/2022] Open
Abstract
Glycosaminoglycans (GAGs) are heterogeneous, negatively charged, macromolecules that are found in animal tissues. Based on the form of component sugar, GAGs have been categorized into four different families: heparin/heparan sulfate, chondroitin/dermatan sulfate, keratan sulfate, and hyaluronan. GAGs engage in biological pathway regulation through their interaction with protein ligands. Detailed structural information on GAG chains is required to further understanding of GAG-ligand interactions. However, polysaccharide sequencing has lagged behind protein and DNA sequencing due to the non-template-driven biosynthesis of glycans. In this review, we summarize recent progress in the analysis of GAG chains, specifically focusing on techniques related to mass spectroscopy (MS), including separation techniques coupled to MS, tandem MS, and bioinformatics software for MS spectrum interpretation. Progress in the use of other structural analysis tools, such as nuclear magnetic resonance (NMR) and hyphenated techniques, is included to provide a comprehensive perspective.
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Affiliation(s)
- Yuefan Song
- National R & D Branch Center for Seaweed Processing, College of Food Science and Engineering, Dalian Ocean University, Dalian, P.R. China
- Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York
| | - Fuming Zhang
- Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York
| | - Robert J Linhardt
- Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York
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8
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Pepi LE, Sanderson P, Stickney M, Amster IJ. Developments in Mass Spectrometry for Glycosaminoglycan Analysis: A Review. Mol Cell Proteomics 2021; 20:100025. [PMID: 32938749 PMCID: PMC8724624 DOI: 10.1074/mcp.r120.002267] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 09/15/2020] [Accepted: 09/16/2020] [Indexed: 12/11/2022] Open
Abstract
This review covers recent developments in glycosaminoglycan (GAG) analysis via mass spectrometry (MS). GAGs participate in a variety of biological functions, including cellular communication, wound healing, and anticoagulation, and are important targets for structural characterization. GAGs exhibit a diverse range of structural features due to the variety of O- and N-sulfation modifications and uronic acid C-5 epimerization that can occur, making their analysis a challenging target. Mass spectrometry approaches to the structure assignment of GAGs have been widely investigated, and new methodologies remain the subject of development. Advances in sample preparation, tandem MS techniques (MS/MS), online separations, and automated analysis software have advanced the field of GAG analysis. These recent developments have led to remarkable improvements in the precision and time efficiency for the structural characterization of GAGs.
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Affiliation(s)
- Lauren E Pepi
- Department of Chemistry, University of Georgia, Athens, Georgia, USA
| | | | - Morgan Stickney
- Department of Chemistry, University of Georgia, Athens, Georgia, USA
| | - I Jonathan Amster
- Department of Chemistry, University of Georgia, Athens, Georgia, USA.
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9
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Hogan JD, Wu J, Klein JA, Lin C, Carvalho L, Zaia J. GAGrank: Software for Glycosaminoglycan Sequence Ranking Using a Bipartite Graph Model. Mol Cell Proteomics 2021; 20:100093. [PMID: 33992776 PMCID: PMC8214146 DOI: 10.1016/j.mcpro.2021.100093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 03/25/2021] [Accepted: 05/07/2021] [Indexed: 01/08/2023] Open
Abstract
The sulfated glycosaminoglycans (GAGs) are long, linear polysaccharide chains that are typically found as the glycan portion of proteoglycans. These GAGs are characterized by repeating disaccharide units with variable sulfation and acetylation patterns along the chain. GAG length and modification patterns have profound impacts on growth factor signaling mechanisms central to numerous physiological processes. Electron activated dissociation tandem mass spectrometry is a very effective technique for assigning the structures of GAG saccharides; however, manual interpretation of the resulting complex tandem mass spectra is a difficult and time-consuming process that drives the development of computational methods for accurate and efficient sequencing. We have recently published GAGfinder, the first peak picking and elemental composition assignment algorithm specifically designed for GAG tandem mass spectra. Here, we present GAGrank, a novel network-based method for determining GAG structure using information extracted from tandem mass spectra using GAGfinder. GAGrank is based on Google's PageRank algorithm for ranking websites for search engine output. In particular, it is an implementation of BiRank, an extension of PageRank for bipartite networks. In our implementation, the two partitions comprise every possible sequence for a given GAG composition and the tandem MS fragments found using GAGfinder. Sequences are given a higher ranking if they link to many important fragments. Using the simulated annealing probabilistic optimization technique, we optimized GAGrank's parameters on ten training sequences. We then validated GAGrank's performance on three validation sequences. We also demonstrated GAGrank's ability to sequence isomeric mixtures using two mixtures at five different ratios.
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Affiliation(s)
- John D Hogan
- Program in Bioinformatics, Boston University, Boston, Massachusetts, USA; Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Jiandong Wu
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Joshua A Klein
- Program in Bioinformatics, Boston University, Boston, Massachusetts, USA; Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Cheng Lin
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Luis Carvalho
- Program in Bioinformatics, Boston University, Boston, Massachusetts, USA; Department of Mathematics & Statistics, Boston University, Boston, Massachusetts, USA
| | - Joseph Zaia
- Program in Bioinformatics, Boston University, Boston, Massachusetts, USA; Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, Massachusetts, USA.
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10
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Pepi LE, Sasiene ZJ, Mendis PM, Jackson GP, Amster IJ. Structural Characterization of Sulfated Glycosaminoglycans Using Charge-Transfer Dissociation. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:2143-2153. [PMID: 32820910 PMCID: PMC8045215 DOI: 10.1021/jasms.0c00252] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Glycosaminoglycans (GAGs) participate in a broad range of physiological processes, and their structures are of interest to researchers in structural biology and medicine. Although they are abundant in tissues and extracellular matrices, their structural heterogeneity makes them challenging analytes. Mass spectrometry, and more specifically, tandem mass spectrometry, is particularly well suited for their analysis. Many tandem mass spectrometry techniques have been examined for their suitability toward the structural characterization of GAGs. Threshold activation methods such as collision-induced dissociation (CID) produce mainly glycosidic cleavages and do not yield a broad range of structurally informative cross-ring fragments. Considerable research efforts have been directed at finding other means of dissociating gas-phase GAG ions to produce more comprehensive structural information. Here, we compare the structural information on GAGs obtained by charge-transfer dissociation (CTD) and electron detachment dissociation (EDD). EDD has previously been applied to GAGs and is known to produce both glycosidic and cross-ring cleavages in similar abundance. CTD has not previously been used to analyze GAGs but has been shown to produce abundant cross-ring cleavages and no sulfate loss when applied to another class of sulfated carbohydrates like algal polysaccharides. In contrast to EDD, which is restricted to FTICR mass spectrometers, CTD can be implemented on other platforms, such as ion trap mass spectrometers (ITMS). Here, we show the capability of CTD-ITMS to produce structurally significant details of the sites of modification in both heparan sulfate (HS) and chondroitin sulfate (CS) standards ranging in length from degree of polymerization (dp) 4 to dp6. EDD and CTD both yield more structural information than CID and yield similar fractional abundances to one another for glycosidic fragments, cross-ring fragments, and neutral losses.
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Affiliation(s)
- Lauren E Pepi
- Department of Chemistry, University of Georgia, Athens, Georgia 30602, United States
| | - Zachary J Sasiene
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States
| | - Praneeth M Mendis
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States
| | - Glen P Jackson
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States
- Department of Forensic and Investigative Science, West Virginia University, Morgantown, West Virginia 26506, United States
| | - I Jonathan Amster
- Department of Chemistry, University of Georgia, Athens, Georgia 30602, United States
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11
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Town JS, Gao Y, Hancox E, Liarou E, Shegiwal A, Atkins CJ, Haddleton D. Automatic peak assignment and visualisation of copolymer mass spectrometry data using the 'genetic algorithm'. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2020; 34 Suppl 2:e8654. [PMID: 31721321 PMCID: PMC7507196 DOI: 10.1002/rcm.8654] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 10/11/2019] [Accepted: 11/05/2019] [Indexed: 06/10/2023]
Abstract
Copolymer analysis is vitally important as the materials have a wide variety of applications due to their tunable properties. Processing mass spectrometry data for copolymer samples can be very complex due to the increase in the number of species when the polymer chains are formed by two or more monomeric units. In this paper, we describe the use of the genetic algorithm for automated peak assignment of copolymers synthesised by a variety of polymerisation methods. We find that in using this method we are able to easily assign copolymer spectra in a few minutes and visualise them into heat maps. These heat maps allow us to look qualitatively at the distribution of the chains, by showing how they alter with different polymerisation techniques, and by changing the initial copolymer composition. This methodology is simple to use and requires little user input, which makes it well suited for use by less expert users. The data outputted by the automatic assignment may also allow for more complex data processing in the future.
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Affiliation(s)
- James S. Town
- Department of ChemistryUniversity of WarwickWarwick, UK
| | - Yuqui Gao
- Department of ChemistryUniversity of WarwickWarwick, UK
| | - Ellis Hancox
- Department of ChemistryUniversity of WarwickWarwick, UK
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12
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Han X, Sanderson P, Nesheiwat S, Lin L, Yu Y, Zhang F, Amster IJ, Linhardt RJ. Structural analysis of urinary glycosaminoglycans from healthy human subjects. Glycobiology 2020; 30:143-151. [PMID: 31616929 PMCID: PMC7415306 DOI: 10.1093/glycob/cwz088] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 10/07/2019] [Accepted: 10/09/2019] [Indexed: 11/12/2022] Open
Abstract
Urinary glycosaminoglycans (GAGs) can reflect the health condition of a human being, and the GAGs composition can be directly related to various diseases. In order to effectively utilize such information, a detailed understanding of urinary GAGs in healthy individuals can provide insight into the levels and structures of human urinary GAGs. In this study, urinary GAGs were collected and purified from healthy males and females of adults and young adults. The total creatinine-normalized urinary GAG content, molecular weight distribution and disaccharide compositions were determined. Using capillary zone electrophoresis (CZE)-mass spectrometry (MS) and CZE-MS/MS relying on negative electron transfer dissociation, the major components of healthy human urinary GAGs were determined. The structures of 10 GAG oligosaccharides representing the majority of human urinary GAGs were determined.
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Affiliation(s)
- Xiaorui Han
- Departments of Chemistry and Chemical Biology, Biology, Chemical and Biological Engineering and Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8 Street, Troy, NY 12180, USA
| | - Patience Sanderson
- Department of Chemistry, University of Georgia, 140 Cedar St, Athens, GA 30602, USA
| | - Sara Nesheiwat
- Departments of Chemistry and Chemical Biology, Biology, Chemical and Biological Engineering and Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8 Street, Troy, NY 12180, USA
| | - Lei Lin
- Departments of Chemistry and Chemical Biology, Biology, Chemical and Biological Engineering and Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8 Street, Troy, NY 12180, USA
| | - Yanlei Yu
- Departments of Chemistry and Chemical Biology, Biology, Chemical and Biological Engineering and Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8 Street, Troy, NY 12180, USA
| | - Fuming Zhang
- Departments of Chemistry and Chemical Biology, Biology, Chemical and Biological Engineering and Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8 Street, Troy, NY 12180, USA
| | - I Jonathan Amster
- Department of Chemistry, University of Georgia, 140 Cedar St, Athens, GA 30602, USA
| | - Robert J Linhardt
- Departments of Chemistry and Chemical Biology, Biology, Chemical and Biological Engineering and Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8 Street, Troy, NY 12180, USA
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Duan J, Pepi L, Amster IJ. A Scoring Algorithm for the Automated Analysis of Glycosaminoglycan MS/MS Data. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2019; 30:2692-2703. [PMID: 31673949 PMCID: PMC6917907 DOI: 10.1007/s13361-019-02338-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Revised: 08/20/2019] [Accepted: 08/20/2019] [Indexed: 06/10/2023]
Abstract
The role of glycosaminoglycans (GAGs) in major biological functions is numerous and diverse, yet structural characterization of them by mass spectrometric techniques proves to be challenging. Characterization of GAG structure from tandem mass spectrometry is a tedious and time-consuming process but one that can be automated in a database-independent, high-throughput fashion through the assistance of software implementing a genetic algorithm (J. Am. Soc. Mass Spectrom. 29, 1802-1911, 2018). This work presents the manner in which this data is interpreted by the software, specifically addressing the development of a scoring algorithm. The significance of glycosidic and cross-ring fragment ions and the implications that specific fragments provide for assigning the positions of modifications are discussed. The scoring algorithm is tested for statistical merit using the widely accepted expectation value as the criterion for quality. Using MS/MS data for well-characterized standards, this scoring approach is shown to assign the correct structure, with a low likelihood (1 in 1012 chances) that the assigned structure matches the data due to random chance. The integrated software that automates the structure assignment is called Glycosaminoglycan-Unambiguous Identification Technology (G-UNIT).
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Affiliation(s)
- Jiana Duan
- Department of Chemistry, University of Georgia, Athens, GA, 30602, USA
| | - Lauren Pepi
- Department of Chemistry, University of Georgia, Athens, GA, 30602, USA
| | - I Jonathan Amster
- Department of Chemistry, University of Georgia, Athens, GA, 30602, USA.
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14
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Klein DR, Leach FE, Amster IJ, Brodbelt JS. Structural Characterization of Glycosaminoglycan Carbohydrates Using Ultraviolet Photodissociation. Anal Chem 2019; 91:6019-6026. [PMID: 30932467 DOI: 10.1021/acs.analchem.9b00521] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Structural characterization of sulfated glycosaminoglycans (GAGs) by mass spectrometry has long been a formidable analytical challenge owing to their high structural variability and the propensity for sulfate decomposition upon activation with low-energy ion activation methods. While derivatization and complexation workflows have aimed to generate informative spectra using low-energy ion activation methods, alternative ion activation methods present the opportunity to obtain informative spectra from native GAG structures. Both electron- and photon-based activation methods, including electron detachment dissociation (EDD), negative electron transfer dissociation (NETD), and extreme ultraviolet photon activation, have been explored previously to overcome the limitations associated with low-energy activation methods for GAGs and other sulfated oligosaccharides. Further, implementation of such methods on high-resolution mass spectrometers has aided the interpretation of the complex spectra generated. Here, we explore ultraviolet photodissociation (UVPD) implemented on an Orbitrap mass spectrometer as another option for structural characterization of GAGs. UVPD spectra for both dermatan and heparan sulfate structures display extensive fragmentation including both glycosidic and cross-ring cleavages with the extent of sulfate retention comparable to that observed by EDD and NETD. In addition, the relatively short activation time of UVPD makes it promising for higher throughput analysis of GAGs in complex mixtures.
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Affiliation(s)
- Dustin R Klein
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Franklin E Leach
- Department of Environmental Health Science , The University of Georgia , Athens , Georgia 30602 , United States
| | - I Jonathan Amster
- Department of Chemistry , The University of Georgia , Athens , Georgia 30602 , United States
| | - Jennifer S Brodbelt
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
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15
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Recent advances in glycosaminoglycan analysis by various mass spectrometry techniques. Anal Bioanal Chem 2019; 411:3731-3741. [DOI: 10.1007/s00216-019-01722-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 02/14/2019] [Accepted: 02/26/2019] [Indexed: 01/10/2023]
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