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Wang D, Chen Z, Li L. Profiling Human Cerebrospinal Fluid (CSF) Endogenous Peptidome in Alzheimer's Disease. Methods Mol Biol 2024; 2758:445-455. [PMID: 38549029 DOI: 10.1007/978-1-0716-3646-6_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Human cerebrospinal fluid (CSF) is a rich source for central nervous system (CNS)-related disease biomarker discovery due to its direct interchange with the extracellular fluid of the CNS. Though extensive proteome-level profiling has been conducted for CSF, studies targeting at its endogenous peptidome is still limited. It is more difficult to include the post-translational modifications (PTMs) characterization of the peptidome in the mass spectrometry (MS) analysis because of their low abundance and the challenge of data interpretation. In this chapter, we present a peptidomic workflow that combines molecular weight cut-off (MWCO) separation, electron-transfer and higher-energy collision dissociation (EThcD) fragmentation, and a three-step database searching strategy for comprehensive PTM analysis of endogenous peptides including both N-glycosylation and O-glycosylation and other common peptide PTMs. The method has been successfully adopted to analyze CSF samples from healthy donors, mild cognitive impairment (MCI), and Alzheimer's disease (AD) patients to provide a landscape of peptidome in different disease states.
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Affiliation(s)
- Danqing Wang
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Zhengwei Chen
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.
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2
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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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3
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Chen Z, Wang D, Yu Q, Johnson J, Shipman R, Zhong X, Huang J, Yu Q, Zetterberg H, Asthana S, Carlsson C, Okonkwo O, Li L. In-Depth Site-Specific O-Glycosylation Analysis of Glycoproteins and Endogenous Peptides in Cerebrospinal Fluid (CSF) from Healthy Individuals, Mild Cognitive Impairment (MCI), and Alzheimer's Disease (AD) Patients. ACS Chem Biol 2022; 17:3059-3068. [PMID: 34964596 PMCID: PMC9240109 DOI: 10.1021/acschembio.1c00932] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Site-specific O-glycoproteome mapping in complex biological systems provides a molecular basis for understanding the structure-function relationships of glycoproteins and their roles in physiological and pathological processes. Previous O-glycoproteome analysis in cerebrospinal fluid (CSF) focused on sialylated glycoforms, while missing information on other glycosylation types. In order to achieve an unbiased O-glycosylation profile, we developed an integrated strategy combining universal boronic acid enrichment, high-pH fractionation, and electron-transfer and higher-energy collision dissociation (EThcD) for enhanced intact O-glycopeptide analysis. We applied this strategy to analyze the O-glycoproteome in CSF, resulting in the identification of 308 O-glycopeptides from 110 O-glycoproteins, covering both sialylated and nonsialylated glycoforms. To our knowledge, this is the largest data set of O-glycoproteins and O-glycosites reported for CSF to date. We also developed a peptidomics workflow that utilized the EThcD and a three-step database searching strategy for comprehensive PTM analysis of endogenous peptides, including N-glycosylation, O-glycosylation, and other common peptide PTMs. Interestingly, among the 1411 endogenous peptides identified, 89 were O-glycosylated, and only one N-glycosylated peptide was found, indicating that CSF endogenous peptides were predominantly O-glycosylated. Analyses of the O-glycoproteome and endogenous peptidome PTMs were also conducted in the CSF of MCI and AD patients to provide a landscape of glycosylation patterns in different disease states. Our results showed a decreasing trend in fucosylation and an increasing trend of endogenous peptide O-glycosylation, which may play an important role in AD progression.
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Affiliation(s)
- Zhengwei Chen
- Department of Chemistry, University of Wisconsin, Madison, WI 53706, USA
| | - Danqing Wang
- Department of Chemistry, University of Wisconsin, Madison, WI 53706, USA
| | - Qing Yu
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Jillian Johnson
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Richard Shipman
- Applied Science Program, University of Wisconsin-Stout, Menomonie, WI 54751, USA
| | - Xiaofang Zhong
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Junfeng Huang
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Qinying Yu
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 43180, Mölndal, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 43180, Mölndal, Sweden,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, United Kingdom,UK Dementia Research Institute at UCL, London, WC1E 6BT, United Kingdom
| | - Sanjay Asthana
- School of Medicine and Public Health, University of Wisconsin, Madison, WI 53726, USA
| | - Cynthia Carlsson
- School of Medicine and Public Health, University of Wisconsin, Madison, WI 53726, USA
| | - Ozioma Okonkwo
- School of Medicine and Public Health, University of Wisconsin, Madison, WI 53726, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin, Madison, WI 53706, USA,School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA,Correspondence: Professor Lingjun Li, School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, 777 Highland Avenue, Madison, Wisconsin 53705-2222, , Fax: +1-608-262-5345, Phone: +1-608-265-8491
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4
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DeLaney K, Phetsanthad A, Li L. ADVANCES IN HIGH-RESOLUTION MALDI MASS SPECTROMETRY FOR NEUROBIOLOGY. MASS SPECTROMETRY REVIEWS 2022; 41:194-214. [PMID: 33165982 PMCID: PMC8106695 DOI: 10.1002/mas.21661] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 09/13/2020] [Indexed: 05/08/2023]
Abstract
Research in the field of neurobiology and neurochemistry has seen a rapid expansion in the last several years due to advances in technologies and instrumentation, facilitating the detection of biomolecules critical to the complex signaling of neurons. Part of this growth has been due to the development and implementation of high-resolution Fourier transform (FT) mass spectrometry (MS), as is offered by FT ion cyclotron resonance (FTICR) and Orbitrap mass analyzers, which improves the accuracy of measurements and helps resolve the complex biological mixtures often analyzed in the nervous system. The coupling of matrix-assisted laser desorption/ionization (MALDI) with high-resolution MS has drastically expanded the information that can be obtained with these complex samples. This review discusses notable technical developments in MALDI-FTICR and MALDI-Orbitrap platforms and their applications toward molecules in the nervous system, including sequence elucidation and profiling with de novo sequencing, analysis of post-translational modifications, in situ analysis, key advances in sample preparation and handling, quantitation, and imaging. Notable novel applications are also discussed to highlight key developments critical to advancing our understanding of neurobiology and providing insight into the exciting future of this field. © 2020 John Wiley & Sons Ltd. Mass Spec Rev.
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Affiliation(s)
- Kellen DeLaney
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Ashley Phetsanthad
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA
- To whom correspondence should be addressed. , Phone: (608) 265-8491, Fax: (608) 262-5345., Mailing Address: 5125 Rennebohm Hall, 777 Highland Avenue, Madison, WI 53706
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5
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Chen Z, Yu Q, Yu Q, Johnson J, Shipman R, Zhong X, Huang J, Asthana S, Carlsson C, Okonkwo O, Li L. In-depth Site-specific Analysis of N-glycoproteome in Human Cerebrospinal Fluid and Glycosylation Landscape Changes in Alzheimer's Disease. Mol Cell Proteomics 2021; 20:100081. [PMID: 33862227 PMCID: PMC8724636 DOI: 10.1016/j.mcpro.2021.100081] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/02/2021] [Accepted: 04/03/2021] [Indexed: 01/22/2023] Open
Abstract
As the body fluid that directly interchanges with the extracellular fluid of the central nervous system (CNS), cerebrospinal fluid (CSF) serves as a rich source for CNS-related disease biomarker discovery. Extensive proteome profiling has been conducted for CSF, but studies aimed at unraveling site-specific CSF N-glycoproteome are lacking. Initial efforts into site-specific N-glycoproteomics study in CSF yield limited coverage, hindering further experimental design of glycosylation-based disease biomarker discovery in CSF. In the present study, we have developed an N-glycoproteomic approach that combines enhanced N-glycopeptide sequential enrichment by hydrophilic interaction chromatography (HILIC) and boronic acid enrichment with electron transfer and higher-energy collision dissociation (EThcD) for large-scale intact N-glycopeptide analysis. The application of the developed approach to the analyses of human CSF samples enabled identifications of a total of 2893 intact N-glycopeptides from 511 N-glycosites and 285 N-glycoproteins. To our knowledge, this is the largest site-specific N-glycoproteome dataset reported for CSF to date. Such dataset provides molecular basis for a better understanding of the structure-function relationships of glycoproteins and their roles in CNS-related physiological and pathological processes. As accumulating evidence suggests that defects in glycosylation are involved in Alzheimer's disease (AD) pathogenesis, in the present study, a comparative in-depth N-glycoproteomic analysis was conducted for CSF samples from healthy control and AD patients, which yielded a comparable N-glycoproteome coverage but a distinct expression pattern for different categories of glycoforms, such as decreased fucosylation in AD CSF samples. Altered glycosylation patterns were detected for a number of N-glycoproteins including alpha-1-antichymotrypsin, ephrin-A3 and carnosinase CN1 etc., which serve as potentially interesting targets for further glycosylation-based AD study and may eventually lead to molecular elucidation of the role of glycosylation in AD progression.
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Affiliation(s)
- Zhengwei Chen
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, USA
| | - Qinying Yu
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA
| | - Qing Yu
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA
| | - Jillian Johnson
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA
| | - Richard Shipman
- Department of Applied Science, University of Wisconsin-Stout, Menomonie, Wisconsin, USA
| | - Xiaofang Zhong
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA
| | - Junfeng Huang
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA
| | - Sanjay Asthana
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Cynthia Carlsson
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Ozioma Okonkwo
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, USA; School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA.
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6
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Delafield DG, Li L. Recent Advances in Analytical Approaches for Glycan and Glycopeptide Quantitation. Mol Cell Proteomics 2021; 20:100054. [PMID: 32576592 PMCID: PMC8724918 DOI: 10.1074/mcp.r120.002095] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Indexed: 12/13/2022] Open
Abstract
Growing implications of glycosylation in physiological occurrences and human disease have prompted intensive focus on revealing glycomic perturbations through absolute and relative quantification. Empowered by seminal methodologies and increasing capacity for detection, identification, and characterization, the past decade has provided a significant increase in the number of suitable strategies for glycan and glycopeptide quantification. Mass-spectrometry-based strategies for glycomic quantitation have grown to include metabolic incorporation of stable isotopes, deposition of mass difference and mass defect isotopic labels, and isobaric chemical labeling, providing researchers with ample tools for accurate and robust quantitation. Beyond this, workflows have been designed to harness instrument capability for label-free quantification, and numerous software packages have been developed to facilitate reliable spectrum scoring. In this review, we present and highlight the most recent advances in chemical labeling and associated techniques for glycan and glycopeptide quantification.
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Affiliation(s)
- Daniel G Delafield
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA.
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7
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de Haan N, Wuhrer M, Ruhaak L. Mass spectrometry in clinical glycomics: The path from biomarker identification to clinical implementation. CLINICAL MASS SPECTROMETRY (DEL MAR, CALIF.) 2020; 18:1-12. [PMID: 34820521 PMCID: PMC8600986 DOI: 10.1016/j.clinms.2020.08.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 08/18/2020] [Accepted: 08/21/2020] [Indexed: 02/01/2023]
Abstract
Over the past decades, the genome and proteome have been widely explored for biomarker discovery and personalized medicine. However, there is still a large need for improved diagnostics and stratification strategies for a wide range of diseases. Post-translational modification of proteins by glycosylation affects protein structure and function, and glycosylation has been implicated in many prevalent human diseases. Numerous proteins for which the plasma levels are nowadays evaluated in clinical practice are glycoproteins. While the glycosylation of these proteins often changes with disease, their glycosylation status is largely ignored in the clinical setting. Hence, the implementation of glycomic markers in the clinic is still in its infancy. This is for a large part caused by the high complexity of protein glycosylation itself and of the analytical techniques required for their robust quantification. Mass spectrometry-based workflows are particularly suitable for the quantification of glycans and glycoproteins, but still require advances for their transformation from a biomedical research setting to a clinical laboratory. In this review, we describe why and how glycomics is expected to find its role in clinical tests and the status of current mass spectrometry-based methods for clinical glycomics.
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Affiliation(s)
- N. de Haan
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - M. Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - L.R. Ruhaak
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
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8
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Zhang Y, Hu Z, Zhang C, Liu BF, Liu X. A robust glycan labeling strategy using a new cationic hydrazide tag for MALDI-MS-based rapid and sensitive glycomics analysis. Talanta 2020; 219:121356. [PMID: 32887081 DOI: 10.1016/j.talanta.2020.121356] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 05/26/2020] [Accepted: 05/27/2020] [Indexed: 02/05/2023]
Abstract
Chemical derivatization of glycans is a common strategy to increase the analytical performance of MALDI-MS-based glycan profiling techniques. Hydrazide, one of the most popular tags, offers important advantages including allowing purification-free procedures. Several hydrazides have thus been used for glycomics combined with an on-target strategy to further simplify the analytical procedures. Usually, gentle heating and mildly acidic conditions with somewhat long reaction times are needed for these hydrazide derivatizations to reach a high reaction efficiency, which makes the current hydrazide tags not yet perfectly conducive to high-throughput analysis. To further optimize these hydrazide tags for high-throughput analysis, based on the structure of a reported hydrazide and the theoretical calculations, a new cationic hydrazide tag, 4-(hydrazinecarbonyl)-N,N,N-trimethylbenzenaminium (HTMBA), was designed, synthesized and tested in this work. HTMBA could completely derivatize glycans at room temperature in several seconds under very mildly acidic conditions (<3% acetic acid). A 19-fold enhancement in the signal intensity was obtained without interference from alkali adduct ions in the MALDI-MS detection of HTMBA-labeled maltoheptaose. To broaden the applicability of HTMBA, an HTMBA on-target derivatization (HOD) strategy was developed and fully validated with maltoheptaose and RNase B, and the method showed a good repeatability and stability. Finally, the HOD strategy was successfully applied to serum samples, 44 glycans in human serum were detected, and the O-acetylation information of sialic acid in horse serum was preserved. These results showed that the HOD strategy was suitable for the MS-based rapid analysis of all glycoforms in complex biological samples.
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Affiliation(s)
- Yifang Zhang
- Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
| | - Zhaoyu Hu
- Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
| | - Chun Zhang
- Technology National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
| | - Bi-Feng Liu
- Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
| | - Xin Liu
- Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
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Fmoc N-hydroxysuccinimide ester: A facile and multifunctional role in N-glycan analysis. Anal Chim Acta 2020; 1131:56-67. [PMID: 32928480 DOI: 10.1016/j.aca.2020.07.044] [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] [Received: 04/21/2020] [Revised: 07/12/2020] [Accepted: 07/17/2020] [Indexed: 12/25/2022]
Abstract
N-glycans that are fluorescently tagged by glycosylamine acylation have become a promising way for glycan biomarker discovery. Here, we describe a simple and rapid method using Fmoc N-hydroxysuccinimide ester (Fmoc-OSu) to label N-glycans by reacting with their corresponding intermediate glycosylamines produced by microwave-assisted deglycosylation. After optimizing reaction conditions, this derivatization reaction can be effectively achieved under 40 °C for 1 h. Moreover, the comparison of fluorescent intensities for Fmoc-OSu, Fmoc-Cl and 2-AA labeling strategies were also performed. Among which, the fluorescent intensities of Fmoc-OSu labeled glycan derivatives were approximately 5 and 13 times higher than that labeled by Fmoc-Cl and 2-AA respectively. Furthermore, the developed derivatization strategy has also been applied for analyzing serum N-glycans, aiming to screen specific biomarkers for early diagnosis of lung squamous cell cancer. More interestingly, the preparation of free reducing N-glycan standards have been achieved by the combination of HPLC fraction of Fmoc labeled glycan derivatives and Fmoc releasing chemistry. Overall, this proposed method has the potential to be used in functional glycomic study.
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Mass spectrometry-based qualitative and quantitative N-glycomics: An update of 2017-2018. Anal Chim Acta 2019; 1091:1-22. [PMID: 31679562 DOI: 10.1016/j.aca.2019.10.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Revised: 10/04/2019] [Accepted: 10/05/2019] [Indexed: 12/14/2022]
Abstract
N-glycosylation is one of the most frequently occurring protein post-translational modifications (PTMs) with broad cellular, physiological and pathological relevance. Mass spectrometry-based N-glycomics has become the state-of-the-art instrumental analytical pipeline for sensitive, high-throughput and comprehensive characterization of N-glycans and N-glycomes. Improvement and new development of methods in N-glycan release, enrichment, derivatization, isotopic labeling, separation, ionization, MS, tandem MS and informatics accompany side-by-side wider and deeper application. This review provides a comprehensive update of mass spectrometry-based qualitative and quantitative N-glycomics in the years of 2017-2018.
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Feng Y, Li M, Lin Y, Chen B, Li L. Multiplex Quantitative Glycomics Enabled by Periodate Oxidation and Triplex Mass Defect Isobaric Multiplex Reagents for Carbonyl-Containing Compound Tags. Anal Chem 2019; 91:11932-11937. [PMID: 31407884 DOI: 10.1021/acs.analchem.9b02736] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Glycosylation is one of the most important post-translational modifications (PTMs) with essential physiological functions, including protein folding, cell signaling, and immune response. Thus, various qualitative and quantitative glycomics analysis strategies have been developed. Recently, the isobaric multiplex reagents for carbonyl-containing compound (SUGAR) tag was developed for quantitative glycomics with multiplexing capacity and increased reporter ion yield. To further improve quantification efficiency and enable quantifying low-abundance species, the mass defect based triplex SUGAR (mdSUGAR) tag has been designed. In addition, we also introduce additional reaction sites for mdSUGAR at the terminal sialic acid by periodate oxidation of the polyhydroxy chain to extend the mass difference and lower the requirement for resolving power. As a result, mdSUGAR tags show complete labeling efficiency, improved fragmentation pattern, and accurate quantification. Moreover, the quantitative performance of the mdSUGAR tags in a complex system has been systematically evaluated and demonstrated reliable results.
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Affiliation(s)
| | | | - Yuanyuan Lin
- School of Pharmacy , Xi'an Jiaotong University , Xi'an , 710061 , People's Republic of China
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12
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Chen Z, Huang J, Li L. Recent advances in mass spectrometry (MS)-based glycoproteomics in complex biological samples. Trends Analyt Chem 2019; 118:880-892. [PMID: 31579312 PMCID: PMC6774629 DOI: 10.1016/j.trac.2018.10.009] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Protein glycosylation plays a key role in various biological processes and disease-related pathological progression. Mass spectrometry (MS)-based glycoproteomics is a powerful approach that provides a system-wide profiling of the glycoproteome in a high-throughput manner. There have been numerous significant technological advances in this field, including improved glycopeptide enrichment, hybrid fragmentation techniques, emerging specialized software packages, and effective quantitation strategies, as well as more dedicated workflows. With increasingly sophisticated glycoproteomics tools on hand, researchers have extensively adapted this approach to explore different biological systems both in terms of in-depth glycoproteome profiling and comparative glycoproteome analysis. Quantitative glycoproteomics enables researchers to discover novel glycosylation-based biomarkers in various diseases with potential to offer better sensitivity and specificity for disease diagnosis. In this review, we present recent methodological developments in MS-based glycoproteomics and highlight its utility and applications in answering various questions in complex biological systems.
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Affiliation(s)
- Zhengwei Chen
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Junfeng Huang
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53705, USA
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA
- School of Life Sciences, Tianjin University, Tianjin, 300072, China
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13
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Chen Z, Huang J, Li L. Recent advances in mass spectrometry (MS)-based glycoproteomics in complex biological samples. Trends Analyt Chem 2019. [PMID: 31579312 DOI: 10.1016/jtrac.2018.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
Protein glycosylation plays a key role in various biological processes and disease-related pathological progression. Mass spectrometry (MS)-based glycoproteomics is a powerful approach that provides a system-wide profiling of the glycoproteome in a high-throughput manner. There have been numerous significant technological advances in this field, including improved glycopeptide enrichment, hybrid fragmentation techniques, emerging specialized software packages, and effective quantitation strategies, as well as more dedicated workflows. With increasingly sophisticated glycoproteomics tools on hand, researchers have extensively adapted this approach to explore different biological systems both in terms of in-depth glycoproteome profiling and comparative glycoproteome analysis. Quantitative glycoproteomics enables researchers to discover novel glycosylation-based biomarkers in various diseases with potential to offer better sensitivity and specificity for disease diagnosis. In this review, we present recent methodological developments in MS-based glycoproteomics and highlight its utility and applications in answering various questions in complex biological systems.
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Affiliation(s)
- Zhengwei Chen
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Junfeng Huang
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53705, USA
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA
- School of Life Sciences, Tianjin University, Tianjin, 300072, China
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14
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Zhu J, Warner E, Parikh ND, Lubman DM. Glycoproteomic markers of hepatocellular carcinoma-mass spectrometry based approaches. MASS SPECTROMETRY REVIEWS 2019; 38:265-290. [PMID: 30472795 PMCID: PMC6535140 DOI: 10.1002/mas.21583] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Accepted: 10/19/2018] [Indexed: 05/03/2023]
Abstract
Hepatocellular carcinoma (HCC) is the third most-common cause of cancer-related death worldwide. Most cases of HCC develop in patients that already have liver cirrhosis and have been recommended for surveillance for an early onset of HCC. Cirrhosis is the final common pathway for several etiologies of liver disease, including hepatitis B and C, alcohol, and increasingly non-alcoholic fatty liver disease. Only 20-30% of patients with HCC are eligible for curative therapy due primarily to inadequate early-detection strategies. Reliable, accurate biomarkers for HCC early detection provide the highest likelihood of curative therapy and survival; however, current early-detection methods that use abdominal ultrasound and serum alpha fetoprotein are inadequate due to poor adherence and limited sensitivity and specificity. There is an urgent need for convenient and highly accurate validated biomarkers for HCC early detection. The theme of this review is the development of new methods to discover glycoprotein-based markers for detection of HCC with mass spectrometry approaches. We outline the non-mass spectrometry based methods that have been used to discover HCC markers including immunoassays, capillary electrophoresis, 2-D gel electrophoresis, and lectin-FLISA assays. We describe the development and results of mass spectrometry-based assays for glycan screening based on either MALDI-MS or ESI analysis. These analyses might be based on the glycan content of serum or on glycan screening for target molecules from serum. We describe some of the specific markers that have been developed as a result, including for proteins such as Haptoglobin, Hemopexin, Kininogen, and others. We discuss the potential role for other technologies, including PGC chromatography and ion mobility, to separate isoforms of glycan markers. Analyses of glycopeptides based on new technologies and innovative softwares are described and also their potential role in discovery of markers of HCC. These technologies include new fragmentation methods such as EThcD and stepped HCD, which can identify large numbers of glycopeptide structures from serum. The key role of lectin extraction in various assays for intact glycopeptides or their truncated versions is also described, where various core-fucosylated and hyperfucosylated glycopeptides have been identified as potential markers of HCC. Finally, we describe the role of LC-MRMs or lectin-FLISA MRMs as a means to validate these glycoprotein markers from patient samples. These technological advancements in mass spectrometry have the potential to lead to novel biomarkers to improve the early detection of HCC.
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Affiliation(s)
- Jianhui Zhu
- Department of Surgery, The University of Michigan, Ann Arbor 48109, Michigan
| | - Elisa Warner
- Department of Surgery, The University of Michigan, Ann Arbor 48109, Michigan
| | - Neehar D. Parikh
- Department of Internal Medicine, The University of Michigan, Ann Arbor 48109, Michigan
| | - David M. Lubman
- Department of Surgery, The University of Michigan, Ann Arbor 48109, Michigan
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15
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Ikegami T. Hydrophilic interaction chromatography for the analysis of biopharmaceutical drugs and therapeutic peptides: A review based on the separation characteristics of the hydrophilic interaction chromatography phases. J Sep Sci 2019; 42:130-213. [DOI: 10.1002/jssc.201801074] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 11/17/2018] [Accepted: 11/18/2018] [Indexed: 12/13/2022]
Affiliation(s)
- Tohru Ikegami
- Faculty of Molecular Chemistry and Engineering; Kyoto Institute of Technology; Kyoto Japan
- Institute of Pharmaceutical Sciences; Pharmaceutical (Bio-) Analysis; Eberhard-Karls Universität Tübingen; Tübingen Germany
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16
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Gustafsson OJR, Winderbaum LJ, Condina MR, Boughton BA, Hamilton BR, Undheim EAB, Becker M, Hoffmann P. Balancing sufficiency and impact in reporting standards for mass spectrometry imaging experiments. Gigascience 2018; 7:5074354. [PMID: 30124809 PMCID: PMC6203951 DOI: 10.1093/gigascience/giy102] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 07/24/2018] [Accepted: 08/07/2018] [Indexed: 02/06/2023] Open
Abstract
Reproducibility, or a lack thereof, is an increasingly important topic across many research fields. A key aspect of reproducibility is accurate reporting of both experiments and the resulting data. Herein, we propose a reporting guideline for mass spectrometry imaging (MSI). Previous standards have laid out guidelines sufficient to guarantee a certain quality of reporting; however, they set a high bar and as a consequence can be exhaustive and broad, thus limiting uptake.To help address this lack of uptake, we propose a reporting supplement-Minimum Information About a Mass Spectrometry Imaging Experiment (MIAMSIE)-and its abbreviated reporting standard version, MSIcheck. MIAMSIE is intended to improve author-driven reporting. It is intentionally not exhaustive, but is rather designed for extensibility and could therefore eventually become analogous to existing standards that aim to guarantee reporting quality. Conversely, its abbreviated form MSIcheck is intended as a diagnostic tool focused on key aspects in MSI reporting.We discuss how existing standards influenced MIAMSIE/MSIcheck and how these new approaches could positively impact reporting quality, followed by test implementation of both standards to demonstrate their use. For MIAMSIE, we report on author reviews of four articles and a dataset. For MSIcheck, we show a snapshot review of a one-month subset of the MSI literature that indicated issues with data provision and the reporting of both data analysis steps and calibration settings for MS systems. Although our contribution is MSI specific, we believe the underlying approach could be considered as a general strategy for improving scientific reporting.
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Affiliation(s)
- Ove J R Gustafsson
- ARC Centre of Excellence in Convergent Bio-Nano Science & Technology (CBNS), University of South Australia, Mawson Lakes, South Australia 5095, Australia
- Future Industries Institute, University of South Australia, Mawson Lakes, South Australia 5095, Australia
| | - Lyron J Winderbaum
- Future Industries Institute, University of South Australia, Mawson Lakes, South Australia 5095, Australia
| | - Mark R Condina
- Future Industries Institute, University of South Australia, Mawson Lakes, South Australia 5095, Australia
| | - Berin A Boughton
- Metabolomics Australia, School of BioSciences, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Brett R Hamilton
- Centre for Microscopy and Microanalysis, University of Queensland, St. Lucia, Queensland 4072, Australia
- Centre for Advanced Imaging, University of Queensland, St. Lucia, Queensland 4072, Australia
| | - Eivind A B Undheim
- Centre for Advanced Imaging, University of Queensland, St. Lucia, Queensland 4072, Australia
| | - Michael Becker
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach a.d. Riss 88397, Germany
| | - Peter Hoffmann
- Future Industries Institute, University of South Australia, Mawson Lakes, South Australia 5095, Australia
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17
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Chen B, Feng Y, Frost DC, Zhong X, Buchberger AR, Johnson J, Xu M, Kim M, Puccetti D, Diamond C, Ikonomidou C, Li L. Quantitative Glycomic Analysis by Mass-Defect-Based Dimethyl Pyrimidinyl Ornithine (DiPyrO) Tags and High-Resolution Mass Spectrometry. Anal Chem 2018; 90:7817-7823. [PMID: 29779369 DOI: 10.1021/acs.analchem.8b00548] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
We recently developed a novel amine-reactive mass-defect-based chemical tag, dimethyl pyrimidinyl ornithine (DiPyrO), for quantitative proteomic analysis at the MS1 level. In this work, we further extend the application of the DiPyrO tag, which provides amine group reactivity, optical detection capability, and improved electrospray sensitivity, to quantify N-linked glycans enzymatically released from glycoproteins in the glycosylamine form. Duplex DiPyrO tags that differ in mass by 45.3 mDa were used to label the glycosylamine moieties of freshly released N-glycosylamines from glycoprotein standards and human serum proteins. We demonstrate that both MALDI-LTQ-Orbitrap and nano-HILIC LC/MS/MS Fusion Lumos Orbitrap platforms are capable of resolving the singly or multiply charged N-glycans labeled with mass-defect DiPyrO tags. Dynamic range of quantification, based on MS1 peak intensities, was evaluated across 2 orders of magnitude. With optimized N-glycan release conditions, glycosylamine labeling conditions, and MS acquisition parameters, the N-glycan profiles and abundances in human serum proteins of cancer patients before and after chemotherapy were compared. Moreover, this study also opens a door for using well-developed amine-reactive tags for relative quantification of glycans, which could be widely applied.
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18
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Chen Z, Yu Q, Hao L, Liu F, Johnson J, Tian Z, Kao WJ, Xu W, Li L. Site-specific characterization and quantitation of N-glycopeptides in PKM2 knockout breast cancer cells using DiLeu isobaric tags enabled by electron-transfer/higher-energy collision dissociation (EThcD). Analyst 2018; 143:2508-2519. [PMID: 29687791 PMCID: PMC5975206 DOI: 10.1039/c8an00216a] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The system-wide site-specific analysis of intact glycopeptides is crucial for understanding the exact functional relevance of protein glycosylation. A dedicated workflow with the capability to simultaneously characterize and quantify intact glycopeptides in a site-specific and high-throughput manner is essential to reveal specific glycosylation alteration patterns in complex biological systems. In this study, an enhanced, dedicated, large-scale site-specific quantitative N-glycoproteomics workflow has been established, which includes improved specific extraction of membrane-bound glycoproteins using the filter aided sample preparation (FASP) method, enhanced enrichment of N-glycopeptides using sequential hydrophilic interaction liquid chromatography (HILIC) and multi-lectin affinity (MLA) enrichment, site-specific N-glycopeptide characterization enabled by EThcD, relative quantitation utilizing isobaric N,N-dimethyl leucine (DiLeu) tags and automated FDR-based large-scale data analysis by Byonic. For the first time, our study shows that HILIC complements to a very large extent to MLA enrichment with only 20% overlapping in enriching intact N-glycopeptides. When applying the developed workflow to site-specific N-glycoproteome study in PANC1 cells, we were able to identify 1067 intact N-glycopeptides, representing 311 glycosylation sites and 88 glycan compositions from 205 glycoproteins. We further applied this approach to study the glycosylation alterations in PKM2 knockout cells vs. parental breast cancer cells and revealed altered N-glycoprotein/N-glycopeptide patterns and very different glycosylation microheterogeneity for different types of glycans. To obtain a more comprehensive map of glycoprotein alterations, N-glycopeptides after treatment with PNGase F were also analyzed. A total of 484 deglycosylated peptides were quantified, among which 81 deglycosylated peptides from 70 glycoproteins showed significant changes. KEGG pathway analysis revealed that the PI3K/Akt signaling pathway was highly enriched, which provided evidence to support the previous finding that PKM2 knockdown cancer cells rely on activation of Akt for their survival. With glycosylation being one of the most important signaling modulators, our results provide additional evidence that signaling pathways are closely regulated by metabolism.
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Affiliation(s)
- Zhengwei Chen
- Department of Chemistry, University of Wisconsin, Madison, WI 53705, USA
| | - Qing Yu
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Ling Hao
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Fabao Liu
- McArdle Laboratory for Cancer Research, University of Wisconsin, Madison, WI 53705, USA
| | - Jillian Johnson
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Zichuan Tian
- Department of Chemistry, University of Wisconsin, Madison, WI 53705, USA
| | - W. John Kao
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
| | - Wei Xu
- McArdle Laboratory for Cancer Research, University of Wisconsin, Madison, WI 53705, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin, Madison, WI 53705, USA
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA
- School of Life Sciences, Tianjin University, Tianjin, 300072, P.R. China
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19
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3-Amino-1-phenyl-2-pyrazoline-5-ketone as a heterobifunctional chromogenic reagent to derivatize reducing glycans for subsequent online LC/MS analysis. Anal Biochem 2018. [DOI: 10.1016/j.ab.2018.02.029] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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20
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Chen B, Zhong X, Feng Y, Snovida S, Xu M, Rogers J, Li L. Targeted MultiNotch MS 3 Approach for Relative Quantification of N-Glycans Using Multiplexed Carbonyl-Reactive Isobaric Tags. Anal Chem 2017; 90:1129-1135. [PMID: 29182308 DOI: 10.1021/acs.analchem.7b03289] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The recently developed and commercially available carbonyl-reactive tandem mass tags (aminoxyTMT) enable multiplexed quantification of glycans through comparison of reporter ion intensities. However, challenges still exist for collision activated dissociation (CAD) MS/MS based quantification of aminoxyTMT due to the relatively low reporter ion yield especially for glycans with labile structures. To circumvent this limitation, we utilized the unique structural features of N-glycan molecules, the common core sugar sequence (HexNAc)2(Man)3, and common m/z of Yn ions generated from different types of precursors by MS/MS and designed a Y1 ion triggered, targeted MultiNotch MS3 relative quantification approach based on aminoxyTMT labeling. This approach was implemented on a nanoHILIC-Tribrid quadrupole-ion trap-Orbitrap platform, which enables prescreening of aminoxyTMT labeled N-glycan precursor ions by Y1 ion fragment ion mass in a higher-energy collisional dissociation (HCD) MS/MS scan and coisolation and cofragmentation of multiple Yn fragment ions that carry the isobaric tags from the inclusion list in the MS/MS/MS scan. Through systematical optimization and evaluation using N-glycans released from several glycoprotein standards and human serum proteins, we demonstrated that the Y1 ion triggered, targeted MultiNotch MS3 approach offers improved accuracy, precision, and sensitivity for relative quantification compared to traditional data-dependent MS2 and Y1 ion MS3 quantification methods.
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Affiliation(s)
| | | | | | - Sergei Snovida
- Thermo Fisher Scientific , Rockford, Illinois 61101, United States
| | | | - John Rogers
- Thermo Fisher Scientific , Rockford, Illinois 61101, United States
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21
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Ma M, Zhao X, Chen S, Zhao Y, yang L, Feng Y, Qin W, Li L, Jia C. Strategy Based on Deglycosylation, Multiprotease, and Hydrophilic Interaction Chromatography for Large-Scale Profiling of Protein Methylation. Anal Chem 2017; 89:12909-12917. [DOI: 10.1021/acs.analchem.7b03673] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Min Ma
- School
of Life Sciences, Tianjin University, Tianjin 300072, China
- National
Center for Protein Sciences-Beijing, Beijing Proteome Research Center,
State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Xinyuan Zhao
- National
Center for Protein Sciences-Beijing, Beijing Proteome Research Center,
State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Shuo Chen
- National
Center for Protein Sciences-Beijing, Beijing Proteome Research Center,
State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Yingyi Zhao
- National
Center for Protein Sciences-Beijing, Beijing Proteome Research Center,
State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Lu yang
- Department
of Blood Transfusion, Chinese PLA General Hospital, Beijing 100853, China
| | - Yu Feng
- Beijing Hua LiShi Scientific Co. Ltd., Beijing 101300, China
| | - Weijie Qin
- National
Center for Protein Sciences-Beijing, Beijing Proteome Research Center,
State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Lingjun Li
- School
of Life Sciences, Tianjin University, Tianjin 300072, China
- School
of Pharmacy and Department of Chemistry, University of Wisconsin−Madison, Madison, Wisconsin 53705, United States
| | - Chenxi Jia
- National
Center for Protein Sciences-Beijing, Beijing Proteome Research Center,
State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing 102206, China
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