1
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Lin Y, Lubman DM. The role of N-glycosylation in cancer. Acta Pharm Sin B 2024; 14:1098-1110. [PMID: 38486989 PMCID: PMC10935144 DOI: 10.1016/j.apsb.2023.10.014] [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: 07/31/2022] [Revised: 09/26/2023] [Accepted: 10/07/2023] [Indexed: 03/17/2024] Open
Abstract
Despite advances in understanding the development and progression of cancer in recent years, there remains a lack of comprehensive characterization of the cancer glycoproteome. Glycoproteins play an important role in medicine and are involved in various human disease conditions including cancer. Glycan-moieties participate in fundamental cancer processes like cell signaling, invasion, angiogenesis, and metastasis. Aberrant N-glycosylation significantly impacts cancer processes and targeted therapies in clinic. Therefore, understanding N-glycosylation in a tumor is essential for comprehending disease progression and discovering anti-cancer targets and biomarkers for therapy monitoring and diagnosis. This review presents the fundamental process of protein N-glycosylation and summarizes glycosylation changes in tumor cells, including increased terminal sialylation, N-glycan branching, and core-fucosylation. Also, the role of N-glycosylation in tumor signaling pathways, migration, and metabolism are discussed. Glycoproteins and glycopeptides as potential biomarkers for early detection of cancer based on site specificity have been introduced. Collectively, understanding and exploring the cancer glycoproteome, along with its role in medicine, implication in cancer and other human diseases, highlights the significance of N-glycosylation in tumor processes, necessitating further research for potential anti-cancer targets and biomarkers.
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Affiliation(s)
- Yu Lin
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI 48109, USA
| | - David M. Lubman
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI 48109, USA
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2
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Campos D, Girgis M, Yang Q, Zong G, Goldman R, Wang LX, Sanda M. "Ghost" Fragment Ions in Structure and Site-Specific Glycoproteomics Analysis. Anal Chem 2023; 95:10145-10148. [PMID: 37382290 PMCID: PMC10339278 DOI: 10.1021/acs.analchem.3c02207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 06/26/2023] [Indexed: 06/30/2023]
Abstract
Mass spectrometry (MS) can unlock crucial insights into the intricate world of glycosylation analysis. Despite its immense potential, the qualitative and quantitative analysis of isobaric glycopeptide structures remains one of the most daunting hurdles in the field of glycoproteomics. The ability to distinguish between these complex glycan structures poses a significant challenge, hindering our ability to accurately measure and understand the role of glycoproteins in biological systems. A few recent publications described the use of collision energy (CE) modulation to improve structural elucidation, especially for qualitative purposes. Different linkages of glycan units usually demonstrate different stabilities under CID/HCD fragmentation conditions. Fragmentation of the glycan moiety produces low molecular weight ions (oxonium ions) that can serve as a structure-specific signature for specific glycan moieties; however, the specificity of these fragments has never been examined closely. Here, we particularly focused on N-glycoproteomics analysis and investigated fragmentation specificity using synthetic stable isotope-labeled N-glycopeptide standards. These standards were isotopically labeled at the reducing terminal GlcNAc, which allowed us to resolve fragments produced by the oligomannose core moiety and fragments generated from outer antennary structures. Our research identified the potential for false-positive structure assignments due to the occurrence of "Ghost" fragments resulting from single glyco unit rearrangement or mannose core fragmentation within the collision cell. To mitigate this issue, we have established a minimal intensity threshold for these fragments to prevent misidentification of structure-specific fragments in glycoproteomics analysis. Our findings provide a crucial step forward in the quest for more accurate and reliable glycoproteomics measurements.
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Affiliation(s)
- Diana Campos
- Max-Planck-Institut
fuer Herz- und Lungenforschung, Ludwigstrasse 43, 61231 Bad Nauheim, Germany
| | - Michael Girgis
- Department
of Bioengineering, College of Engineering and Computing, George Mason University, Fairfax, Virginia 22030, United States
| | - Qiang Yang
- GlycoT
Therapeutics, College Park, Maryland 20742, United States
| | - Guanghui Zong
- Department
of Chemistry and Biochemistry, University
of Maryland, College
Park, Maryland 20742, United States
| | - Radoslav Goldman
- Department
of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C. 20057, United States
- Clinical
and Translational Glycoscience Research Center, Georgetown University, Washington, D.C. 20057, United States
| | - Lai-Xi Wang
- Department
of Chemistry and Biochemistry, University
of Maryland, College
Park, Maryland 20742, United States
| | - Miloslav Sanda
- Max-Planck-Institut
fuer Herz- und Lungenforschung, Ludwigstrasse 43, 61231 Bad Nauheim, Germany
- Department
of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C. 20057, United States
- Clinical
and Translational Glycoscience Research Center, Georgetown University, Washington, D.C. 20057, United States
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3
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Campos D, Girgis M, Yang Q, Zong G, Goldman R, Wang LX, Sanda M. "Ghost" fragment ions in structure and site-specific glycoproteomics analysis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.17.541150. [PMID: 37292769 PMCID: PMC10245710 DOI: 10.1101/2023.05.17.541150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Mass spectrometry (MS) can unlock crucial insights into the intricate world of glycosylation analysis. Despite its immense potential, the qualitative and quantitative analysis of isobaric glycopeptide structures remains one of the most daunting hurdles in the field of glycoproteomics. The ability to distinguish between these complex glycan structures poses a significant challenge, hindering our ability to accurately measure and understand the role of glycoproteins in biological systems. A few recent publications described the use of collision energy (CE) modulation to improve structural elucidation, especially for qualitative purposes. Different linkages of glycan units usually demonstrate different stabilities under CID/HCD fragmentation conditions. Fragmentation of the glycan moiety produces low molecular weight ions (oxonium ions) that can serve as a structure-specific signature for specific glycan moieties, however, specificity of these fragments has never been examined closely. Here, we investigated fragmentation specificity using synthetic stable isotope-labelled glycopeptide standards. These standards were isotopically labelled at the reducing terminal GlcNAc, which allowed us to resolve fragments produced by oligomannose core moiety and fragments generated from outer antennary structures. Our research identified the potential for false positive structure assignments due to the occurrence of "Ghost" fragments resulting from single glyco unit rearrangement or mannose core fragmentation within the collision cell. To mitigate this issue, we have established a minimal intensity threshold for these fragments to prevent the misidentification of structure-specific fragments in glycoproteomics analysis. Our findings provide a crucial step forward in the quest for more accurate and reliable glycoproteomics measurements. Graphical abstract
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4
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Tan Y, Zhu J, Gutierrez Reyes CD, Lin Y, Tan Z, Wu Z, Zhang J, Cano A, Verschleisser S, Mechref Y, Singal AG, Parikh ND, Lubman DM. Discovery of Core-Fucosylated Glycopeptides as Diagnostic Biomarkers for Early HCC in Patients with NASH Cirrhosis Using LC-HCD-PRM-MS/MS. ACS OMEGA 2023; 8:12467-12480. [PMID: 37033807 PMCID: PMC10077536 DOI: 10.1021/acsomega.3c00519] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 03/09/2023] [Indexed: 06/19/2023]
Abstract
Aberrant changes in site-specific core fucosylation (CF) of serum proteins contribute to cancer development and progression, which enables them as potential diagnostic markers of tumors. An optimized data-dependent acquisition (DDA) workflow involving isobaric tags for relative and absolute quantitation-labeling and enrichment of CF peptides by lens culinaris lectin was applied to identify CF of serum proteins in a test set of patients with nonalcoholic steatohepatitis (NASH)-related cirrhosis (N = 16) and hepatocellular carcinoma (HCC, N = 17), respectively. A total of 624 CF peptides from 343 proteins, with 683 CF sites, were identified in our DDA-mass spectrometry (MS) analysis. Subsequently, 19 candidate CF peptide markers were evaluated by a target parallel reaction-monitoring-MS workflow in a validation set of 58 patients, including NASH-related cirrhosis (N = 29), early-stage HCC (N = 21), and late-stage HCC (N = 8). Significant changes (p < 0.01) were observed in four CF peptides between cirrhosis and HCC, where peptide LGSFEGLVn160LTFIHLQHNR from LUM in combination with AFP showed the best diagnostic performance in discriminating HCC from cirrhosis, with an area under curve (AUC) of 0.855 compared to AFP only (AUC = 0.717). This peptide in combination with AFP also significantly improved diagnostic performance in distinguishing early HCC from cirrhosis, with an AUC of 0.839 compared to AFP only (AUC = 0.689). Validation of this novel promising biomarker panel in larger cohorts should be performed.
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Affiliation(s)
- Yifei Tan
- Department
of Liver Surgery, Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610017, China
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | - Jianhui Zhu
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | | | - Yu Lin
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | - Zhijing Tan
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | - Zuowei Wu
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | - Jie Zhang
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | - Alva Cano
- Department
of Internal Medicine, University of Texas
Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Sara Verschleisser
- Department
of Internal Medicine, University of Texas
Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Yehia Mechref
- Department
of Chemistry and Biochemistry, Texas Tech
University, Lubbock, Texas 79409, United States
| | - Amit G. Singal
- Department
of Internal Medicine, University of Texas
Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Neehar D. Parikh
- Department
of Internal Medicine, University of Michigan
Medical Center, Ann Arbor, Michigan 48109, United States
| | - David M. Lubman
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
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5
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Oh MJ, Lee SH, Kim U, An HJ. In-depth investigation of altered glycosylation in human haptoglobin associated cancer by mass spectrometry. MASS SPECTROMETRY REVIEWS 2023; 42:496-518. [PMID: 34037272 DOI: 10.1002/mas.21707] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 04/28/2021] [Accepted: 05/12/2021] [Indexed: 05/08/2023]
Abstract
Serum haptoglobin (Hp), a highly sialylated biomolecule with four N-glycosylation sites, is a positive acute-phase response glycoprotein that acts as an immunomodulator. Hp has gained considerable attention due to its potential as a signature molecule that exhibits aberrant glycosylation in inflammatory disorders and malignancies. Its glycosylation can be analyzed qualitatively and quantitatively by various methods using mass spectrometry. In this review, we have provided a brief overview of Hp structure and biological function and described mass spectrometry-based techniques for analyzing glycosylation ranging from macroheterogeneity to microheterogeneity of Hp in diseases and cancer. The sugars on haptoglobin can be a sweet bridge to link the potential of cancer-specific biomarkers to clinically relevant applications.
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Affiliation(s)
- Myung Jin Oh
- Asia-Pacific Glycomics Reference Site, Daejeon, South Korea
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, South Korea
| | - Sung Hyeon Lee
- Department of Biomedical Research Center, Korea University Guro Hospital, Seoul, South Korea
| | - Unyoung Kim
- Division of Bioanalysis, Biocomplete Inc., Seoul, South Korea
| | - Hyun Joo An
- Asia-Pacific Glycomics Reference Site, Daejeon, South Korea
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, South Korea
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6
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Yin H, Zhu J. Methods for quantification of glycopeptides by liquid separation and mass spectrometry. MASS SPECTROMETRY REVIEWS 2023; 42:887-917. [PMID: 35099083 PMCID: PMC9339036 DOI: 10.1002/mas.21771] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 11/14/2021] [Accepted: 01/13/2022] [Indexed: 05/05/2023]
Abstract
Recent advances in analytical techniques provide the opportunity to quantify even low-abundance glycopeptides derived from complex biological mixtures, allowing for the identification of glycosylation differences between healthy samples and those derived from disease states. Herein, we discuss the sample preparation procedures and the mass spectrometry (MS) strategies that have facilitated glycopeptide quantification, as well as the standards used for glycopeptide quantification. For sample preparation, various glycopeptide enrichment methods are summarized including the columns used for glycopeptide separation in liquid chromatography separation. For MS analysis strategies, MS1 level-based quantification and MS2 level-based quantification are described, either with or without labeling, where we have covered isotope labeling, TMT/iTRAQ labeling, data dependent acquisition, data independent acquisition, multiple reaction monitoring, and parallel reaction monitoring. The strengths and weaknesses of these methods are compared, particularly those associated with the figures of merit that are important for clinical biomarker studies and the pathological and functional studies of glycoproteins in various diseases. Possible future developments for glycopeptide quantification are discussed.
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Affiliation(s)
- Haidi Yin
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518132, China
- Correspondence to: Haidi Yin, Shenzhen Bay Laboratory, A1201, Shenzhen, Guangdong, 518132, China. Phone: 0755-26849276. , Jianhui Zhu, Department of Surgery, University of Michigan, 1150 West Medical Center Drive, Building MSRB1, Rm A500, Ann Arbor, MI 48109-0656, USA. Tel: 734-615-2567. Fax: 734-615-2088.
| | - Jianhui Zhu
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA
- Correspondence to: Haidi Yin, Shenzhen Bay Laboratory, A1201, Shenzhen, Guangdong, 518132, China. Phone: 0755-26849276. , Jianhui Zhu, Department of Surgery, University of Michigan, 1150 West Medical Center Drive, Building MSRB1, Rm A500, Ann Arbor, MI 48109-0656, USA. Tel: 734-615-2567. Fax: 734-615-2088.
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7
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Li S, Zhu J, Lubman DM, Zhou H, Tang H. GlycoSLASH: Concurrent Glycopeptide Identification from Multiple Related LC-MS/MS Data Sets by Using Spectral Clustering and Library Searching. J Proteome Res 2023; 22:1501-1509. [PMID: 36802412 PMCID: PMC10164058 DOI: 10.1021/acs.jproteome.3c00066] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
Liquid chromatography coupled with tandem mass spectrometry is commonly adopted in large-scale glycoproteomic studies involving hundreds of disease and control samples. The software for glycopeptide identification in such data (e.g., the commercial software Byonic) analyzes the individual data set and does not exploit the redundant spectra of glycopeptides presented in the related data sets. Herein, we present a novel concurrent approach for glycopeptide identification in multiple related glycoproteomic data sets by using spectral clustering and spectral library searching. The evaluation on two large-scale glycoproteomic data sets showed that the concurrent approach can identify 105%-224% more spectra as glycopeptides compared to the glycopeptide identification on individual data sets using Byonic alone. The improvement of glycopeptide identification also enabled the discovery of several potential biomarkers of protein glycosylations in hepatocellular carcinoma patients.
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Affiliation(s)
- Sujun Li
- Department of Blood Transfusion, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.,JiangXi Key Laboratory of Transfusion Medicine, Nanchang 330000, China.,Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, Indiana 47408, United States
| | - Jianhui Zhu
- Department of Surgery, University of Michigan, Medical Center, Ann Arbor, Michigan 48109, United States
| | - David M Lubman
- Department of Surgery, University of Michigan, Medical Center, Ann Arbor, Michigan 48109, United States
| | - He Zhou
- Shenzhen Dengding Biopharma Co. Ltd., Shenzhen 518000, China
| | - Haixu Tang
- Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, Indiana 47408, United States
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8
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Mechref Y, Peng W, Gautam S, Ahmadi P, Lin Y, Zhu J, Zhang J, Liu S, Singal AG, Parikh ND, Lubman DM. Mass spectrometry based biomarkers for early detection of HCC using a glycoproteomic approach. Adv Cancer Res 2022; 157:23-56. [PMID: 36725111 PMCID: PMC10014290 DOI: 10.1016/bs.acr.2022.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Hepatocellular carcinoma (HCC) is the fourth most common cause of cancer-related mortality worldwide and 80%-90% of HCC develops in patients that have underlying cirrhosis. Better methods of surveillance are needed to increase early detection of HCC and the proportion of patients that can be offered curative therapies. Recent work in novel mass spec-based methods for glycomic and glycopeptide analysis for discovery and confirmation of markers for early detection of HCC versus cirrhosis is reviewed in this chapter. Results from recent work in these fields by several groups and the progress made in developing markers of early HCC which can outperform the current serum-based markers are described and discussed. Also, recent developments in isoform analysis of glycans and glycopeptides and in various mass spec fragmentation methods will be described and discussed.
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Affiliation(s)
- Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States.
| | - Wenjing Peng
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States
| | - Sakshi Gautam
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States
| | - Parisa Ahmadi
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States
| | - Yu Lin
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States
| | - Jianhui Zhu
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States
| | - Jie Zhang
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States
| | - Suyu Liu
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Amit G Singal
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Neehar D Parikh
- Division of Gastroenterology and Hepatology, University of Michigan Medical Center, Ann Arbor, MI, United States
| | - David M Lubman
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States.
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9
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Lin Y, Zhu J, Zhang J, Dai J, Liu S, Arroyo A, Rose M, Singal AG, Parikh ND, Lubman DM. Glycopeptides with Sialyl Lewis Antigen in Serum Haptoglobin as Candidate Biomarkers for Nonalcoholic Steatohepatitis Hepatocellular Carcinoma Using a Higher-Energy Collision-Induced Dissociation Parallel Reaction Monitoring-Mass Spectrometry Method. ACS OMEGA 2022; 7:22850-22860. [PMID: 35811936 PMCID: PMC9261276 DOI: 10.1021/acsomega.2c02600] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 06/13/2022] [Indexed: 06/15/2023]
Abstract
Nonalcoholic steatohepatitis (NASH) is the fastest growing cause of hepatocellular carcinoma (HCC) in the United States. Changes in N-glycosylation on specific glycosites of serum proteins have been investigated as potential markers for the early detection of NASH-related HCC. Herein, we report a glycopeptide with a Sialyl Lewis structure derived from serum haptoglobin (Hp) as a potential marker for NASH related HCCs among 95 patients with NASH, including 46 cirrhosis, 32 early-stage HCC, and 17 late-stage HCC. Hp immuno-isolated from patient serum was analyzed using LC-HCD-PRM-MS/MS followed by data analysis via Skyline software. Two glycopeptides involving site N184 and four glycopeptides involving site N241 were significantly changed in patients with HCC vs NASH cirrhosis (P < 0.05). The two-marker panel using N-glycopeptide N241_A4G4F2S4 showed the best performance for HCC detection when combined with α-fetoprotein (AFP), with an improved estimated area under the curve (AUC) = 0.898 (95% CI: 0.835, 0.951), compared to the AUC of 0.790(95% CI, 0.697 0.872) using AFP alone (P = 0.048). At 90% specificity, the combination of N241_A4G4F2S4 + AFP had an improved sensitivity of 63.3%, compared to the sensitivity of 52.3% using AFP alone. When using three markers, the panel of AFP + N241_A2G2F1S2 + N241_A4G4F2S4 yielded an estimated AUC of 0.928 (95% CI: 0.877, 0.970). Our findings indicated that N241_A4G4F2S4 may play an important role in distinguishing HCC from NASH cirrhosis.
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Affiliation(s)
- Yu Lin
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United States
| | - Jianhui Zhu
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United States
| | - Jie Zhang
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United States
| | - Jianliang Dai
- Department
of Biostatistics, University of Texas MD
Anderson Cancer Center, Houston, Texas 77030, United States
| | - Suyu Liu
- Department
of Biostatistics, University of Texas MD
Anderson Cancer Center, Houston, Texas 77030, United States
| | - Ana Arroyo
- Department
of Internal Medicine, University of Texas
Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Marissa Rose
- Department
of Internal Medicine, University of Texas
Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Amit G. Singal
- Department
of Internal Medicine, University of Texas
Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Neehar D. Parikh
- Division
of Gastroenterology and Hepatology, University
of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - David M. Lubman
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United States
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10
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Han J, Zhou Z, Zhang R, You Y, Guo Z, Huang J, Wang F, Sun Y, Liu H, Cheng X, Su Y, Shi H, Hu Q, Teng J, Yang C, Ren S, Ye J. Fucosylation of anti-dsDNA IgG1 correlates with disease activity of treatment-naïve systemic lupus erythematosus patients. EBioMedicine 2022; 77:103883. [PMID: 35182998 PMCID: PMC8857559 DOI: 10.1016/j.ebiom.2022.103883] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/31/2022] [Accepted: 01/31/2022] [Indexed: 12/14/2022] Open
Abstract
Background Systemic Lupus Erythematosus (SLE) is a complex and heterogeneous autoimmune disease mediated by quantities of autoantibodies in which anti-double-stranded DNA (anti-dsDNA) antibodies are important. Besides, glycosylation is one of the most commonly post-translational modifications of antibodies. The association of anti-dsDNA antibodies glycosylation and SLE disease activity is still unknown. Methods We enrolled 101 consecutive treatment-naïve SLE patients with positive anti-dsDNA antibodies from the Department of Rheumatology and Immunology at Ruijin Hospital, Shanghai, between 2017 and 2019. Serum samples were used in this study. We analysed the glycosylation of anti-dsDNA IgG and total IgG subclasses according to systemic lupus erythematosus disease activity index (SLEDAI) scores. Statistical analysis and machine learning were performed to assess the correlation between glycosylation of anti-dsDNA IgG and total IgG with disease activity. Findings Serum samples from 86 patients could be detected with anti-dsDNA IgG glycopeptide and subclass of IgG glycoform. Cluster analysis showed that glycosylation of anti-dsDNA IgG and total IgG subclasses were different in SLE patients. Fucosylation, galactosylation, and sialylation levels of anti-dsDNA IgG1 were increased with SLEDAI scores (all p<0.05). The results of machine learning showed that all the glycoforms of anti-dsDNA IgG1 had better performance with lower standardised square error (SSE) than that of total IgG1, with anti-dsDNA IgG1 fucosylation level having the lowest SSE (0.009). Interpretation Our study indicated that glycosylation of anti-dsDNA IgG was different from that of total IgG and fucosylation of anti-dsDNA IgG1 correlated best with SLE disease activity. Funding This work is supported by the National Key Research and Development Program of China (2018YFC0910303), National Natural Science Foundation of China (81801592, 82101876), Clinical Research Plan of SHDC (SHDC2020CR4011), Ruijin Hospital Youth Incubation Project (KY2021607) and Shanghai Pujiang Young Rheumatologists Training Program (SPROG202006).
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Affiliation(s)
- Jing Han
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Zhuochao Zhou
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rongrong Zhang
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Yijun You
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zizhen Guo
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinyan Huang
- Biomedical Big Data Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fan Wang
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yue Sun
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Honglei Liu
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaobing Cheng
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yutong Su
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Shi
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiongyi Hu
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jialin Teng
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Chengde Yang
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Shifang Ren
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
| | - Junna Ye
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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11
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Sanda M, Ahn J, Kozlik P, Goldman R. Analysis of site and structure specific core fucosylation in liver cirrhosis using exoglycosidase-assisted data-independent LC-MS/MS. Sci Rep 2021; 11:23273. [PMID: 34857845 PMCID: PMC8639754 DOI: 10.1038/s41598-021-02838-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 11/03/2021] [Indexed: 12/16/2022] Open
Abstract
Carbohydrates form one of the major groups of biological macromolecules in living organisms. Many biological processes including protein folding, stability, immune response, and receptor activation are regulated by glycosylation. Fucosylation of proteins regulates such processes and is associated with various diseases including autoimmunity and cancer. Mass spectrometry efficiently identifies structures of fucosylated glycans or sites of core fucosylated N-glycopeptides but quantification of the glycopeptides remains less explored. We performed experiments that facilitate quantitative analysis of the core fucosylation of proteins with partial structural resolution of the glycans and we present results of the mass spectrometric SWATH-type DIA analysis of relative abundances of the core fucosylated glycoforms of 45 glycopeptides to their nonfucosylated glycoforms derived from 18 serum proteins in liver disease of different etiologies. Our results show that a combination of soft fragmentation with exoglycosidases is efficient at the assignment and quantification of the core fucosylated N-glycoforms at specific sites of protein attachment. In addition, our results show that disease-associated changes in core fucosylation are peptide-dependent and further differ by branching of the core fucosylated glycans. Further studies are needed to verify whether tri- and tetra-antennary core fucosylated glycopeptides could be used as markers of liver disease progression.
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Affiliation(s)
- Miloslav Sanda
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, 20057, USA. .,Clinical and Translational Glycoscience Research Center, Georgetown University, Washington, DC, 20057, USA.
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, Washington, DC, 20057, USA
| | - Petr Kozlik
- Department of Analytical Chemistry, Faculty of Science, Charles University, Prague, Czech Republic
| | - Radoslav Goldman
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, 20057, USA.,Department of Biochemistry and Molecular and Cellular Biology, Georgetown University, Washington, DC, 20057, USA.,Clinical and Translational Glycoscience Research Center, Georgetown University, Washington, DC, 20057, USA
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12
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Shu H, Zhang L, Chen Y, Guo Y, Li L, Chen F, Cao Z, Yan G, Lu C, Liu C, Zhang S. Quantification of Intact O-Glycopeptides on Haptoglobin in Sera of Patients With Hepatocellular Carcinoma and Liver Cirrhosis. Front Chem 2021; 9:705341. [PMID: 34336790 PMCID: PMC8316590 DOI: 10.3389/fchem.2021.705341] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 06/16/2021] [Indexed: 12/02/2022] Open
Abstract
Haptoglobin (Hp) is one of the acute-phase response proteins secreted by the liver, and its aberrant N-glycosylation was previously reported in hepatocellular carcinoma (HCC). Limited studies on Hp O-glycosylation have been previously reported. In this study, we aimed to discover and confirm its O-glycosylation in HCC based on lectin binding and mass spectrometry (MS) detection. First, serum Hp was purified from patients with liver cirrhosis (LC) and HCC, respectively. Then, five lectins with Gal or GalNAc monosaccharide specificity were chosen to perform lectin blot, and the results showed that Hp in HCC bound to these lectins in a much stronger manner than that in LC. Furthermore, label-free quantification based on MS was performed. A total of 26 intact O-glycopeptides were identified on Hp, and most of them were elevated in HCC as compared to LC. Among them, the intensity of HYEGS316TVPEK (H1N1S1) on Hp was the highest in HCC patients. Increased HYEGS316TVPEK (H1N1S1) in HCC was quantified and confirmed using the MS method based on 18O/16O C-terminal labeling and multiple reaction monitoring. This study provided a comprehensive understanding of the glycosylation of Hp in liver diseases.
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Affiliation(s)
- Hong Shu
- Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China.,Department of Clinical Laboratory, Cancer Hospital of Guangxi Medical University, Nanning, China
| | - Lei Zhang
- Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Yiwei Chen
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yijie Guo
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Limin Li
- Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Fanghua Chen
- Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Zhao Cao
- Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Guoquan Yan
- Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Chunlai Lu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chao Liu
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Shu Zhang
- Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
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13
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Liu T, Han J, Zhang R, Tang Z, Yi G, Gong W, Wan L, Hu Q, Teng J, Liu H, Cheng X, Ye J, Su Y, Sun Y, Shi Y, Gu J, Ren S, Yang C, Shi H. Characteristics of purified Anti-β2GPI IgG N-glycosylation associate with thrombotic, obstetric, and catastrophic antiphospholipid syndrome. Rheumatology (Oxford) 2021; 61:1243-1254. [PMID: 34015111 DOI: 10.1093/rheumatology/keab416] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 05/03/2021] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Anti-β-2 glycoprotein I (anti-β2GPI) antibodies, defined as primary pathogenic antibody in antiphospholipid syndrome (APS). It has been reported that IgG Fc N-glycosylation affects IgG effector, we aim to investigate the association of Fc glycosylation profiles of purified anti-β2GP1 IgG with clinical features of APS. METHODS We purify anti-β2GPI IgG and total IgG from 82 APS patients including 9 catastrophic antiphospholipid syndrome (CAPS) patients, as well as total IgG from 103 healthy controls to quantitatively analyze all detectable Fc N-glycanforms of all IgG subclasses with Multiple Reaction Monitoring (MRM) method based on UPLC-ESI-QqQ mass spectrometry. RESULTS Both purified anti-β2GPI IgG and APS total IgG showed altered N-glycan profiles when compared with HC IgG. Anti-β2GPI IgG presented with lower galactosylation, increased bisection and core fucosylation compared with APS total IgG and HC IgG. We found higher galactosylation of aβ2GPI IgG2 in thrombotic APS compared with the obstetric APS, and lower galactosylation of aβ2GPI IgG2 associated with late pregnancy morbidity. Moreover, low galactosylation of all anti-β2GPI IgG subclasses, increased bisection and core fucosylation of anti-β2GPI IgG1/2 were strongly associated with CAPS and triple positivity of antiphospholipid antibodies (aPLs). CONCLUSION We comprehensively characterize the N-Glycans landscape of both anti-β2GP1 and total IgG in APS. Altered N-glycan profiles of anti-β2GPI IgG enables enabled the antibodies with proinflammatory properties. Furthermore, we associated levels of IgG Fc-glycosylation with clinical features antiphospholipid syndrome. These findings could increase our understanding of anti-β2GPI antibody mediated mechanisms in APS and be used to develop diagnostics and new target treatments.
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Affiliation(s)
- Tingting Liu
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
| | - Jing Han
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Rongrong Zhang
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Zihan Tang
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
| | - Gang Yi
- Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Wen Gong
- Department of Rheumatology and Immunology, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical School, The First people's Hospital of Yancheng, Yancheng, 224001, China
| | - Liyan Wan
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
| | - Qiongyi Hu
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
| | - Jialin Teng
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
| | - Honglei Liu
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
| | - Xiaobing Cheng
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
| | - Junna Ye
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
| | - Yutong Su
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
| | - Yue Sun
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
| | - Yi Shi
- Bio-X institutes, Key laboratory for the Genetic of Departmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 20030, China
| | - Jianxin Gu
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Shifang Ren
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Chengde Yang
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
| | - Hui Shi
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Second Road, Shanghai, 200025, China
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14
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Lin Y, Zhu J, Pan L, Zhang J, Tan Z, Olivares J, Singal AG, Parikh ND, Lubman DM. A Panel of Glycopeptides as Candidate Biomarkers for Early Diagnosis of NASH Hepatocellular Carcinoma Using a Stepped HCD Method and PRM Evaluation. J Proteome Res 2021; 20:3278-3289. [PMID: 33929864 DOI: 10.1021/acs.jproteome.1c00175] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Changes in N-glycosylation on specific peptide sites of serum proteins have been investigated as potential markers for diagnosis of nonalcoholic steatohepatitis (NASH)-related HCC. To accomplish this work, a novel workflow involving broad-scale marker discovery in serum followed by targeted marker evaluation of these glycopeptides were combined. The workflow involved an LC-Stepped HCD-DDA-MS/MS method coupled with offline peptide fractionation for large-scale identification of N-glycopeptides directly from pooled serum samples (each n = 10) as well as differential determination of N-glycosylation changes between disease states. We then evaluated several potentially diagnostic N-glycopeptides among 78 individual patient samples (40 cirrhosis, 28 early stage NASH HCC, and 10 late-stage NASH HCC) by LC-Stepped HCD-PRM-MS/MS to quantitatively analyze 65 targeted glycopeptides from 7 glycoproteins. Of these targets, we found site-specific N-glycopeptides n169GSLFAFR_HexNAc(4)Hex(5)NeuAc(2) and n242ISDGFDGIPDNVDAALALPAHSYSGR_HexNAc(5)Hex(6)Fuc(1)NeuAc(3) from VTNC were significantly increased comparing samples from patients with NASH cirrhosis and NASH HCC (p < 0.05). When combining results of these 2 glycopeptides with AFP, the ROC curve analysis demonstrated the AUC value increased to 0.834 (95% CI, 0.748-0.921) and 0.847 (95% CI, 0.766-0.932), respectively, as compared to that of AFP alone (AUC = 0.791, 95% CI, 0.690-0.892). These 2 glycopeptides may serve as potential biomarkers for early HCC diagnosis in patients with NASH related cirrhosis.
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Affiliation(s)
- Yu Lin
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Jianhui Zhu
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Lingyun Pan
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Jie Zhang
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Zhijing Tan
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Jocelyn Olivares
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Amit G Singal
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Neehar D Parikh
- Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - David M Lubman
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
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15
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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: 57] [Impact Index Per Article: 19.0] [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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16
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Li D, Jiang L, Hong Y, Cai Z. Multilayered glycoproteomic analysis reveals the hepatotoxic mechanism in perfluorooctane sulfonate (PFOS) exposure mice. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 268:115774. [PMID: 33143982 DOI: 10.1016/j.envpol.2020.115774] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 09/28/2020] [Accepted: 10/01/2020] [Indexed: 06/11/2023]
Abstract
Perfluorooctane sulfonate (PFOS) is one of the most widely used and distributed perfluorinated compounds proven to cause adverse health outcomes. Datasets of ecotoxico-genomics and proteomics have given greater insights for PFOS toxicological effect. However, the molecular mechanisms of hepatotoxicity of PFOS on post-translational modifications (PTMs) regulation, which is most relevant for regulating the activity of proteins, are not well elucidated. Protein glycosylation is one of the most ubiquitous PTMs associated with diverse cellular functions, which are critical towards the understanding of the multiple biological processes and toxic mechanisms exposed to PFOS. Here, we exploit the multilayered glycoproteomics to quantify the global protein expression levels, glycosylation sites, and glycoproteins in PFOS exposure and wild-type mouse livers. The identified 2439 proteins, 1292 glycosites, and 799 glycoproteins were displayed complex heterogeneity in PFOS exposure mouse livers. Quantification results reveal that 241 dysregulated proteins (fold change ≥ 2, p < 0.05) in PFOS exposure mouse livers were involved in the lipid and xenobiotic metabolism. While, 16 overexpressed glycoproteins were exclusively related to neutrophil degranulation, cellular responses to stress, protein processing in endoplasmic reticulum (ER). Moreover, the interactome and functional network analysis identified HP and HSP90AA1 as the potential glycoprotein biomarkers. These results provide unique insights into a deep understanding of the mechanisms of PFOS induced hepatotoxicity and liver disease. Our platform of multilayered glycoproteomics can be adapted to diverse ecotoxicological research.
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Affiliation(s)
- Dapeng Li
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Lilong Jiang
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China; HKBU Institute for Research and Continuing Education, Shenzhen, China
| | - Yanjun Hong
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China; HKBU Institute for Research and Continuing Education, Shenzhen, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China.
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17
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Benicky J, Sanda M, Brnakova Kennedy Z, Grant OC, Woods RJ, Zwart A, Goldman R. PD-L1 Glycosylation and Its Impact on Binding to Clinical Antibodies. J Proteome Res 2020; 20:485-497. [PMID: 33073996 DOI: 10.1021/acs.jproteome.0c00521] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Immune checkpoint inhibitors, including PD-L1/PD-1, are key regulators of the immune response and promising targets in cancer immunotherapy. N-glycosylation of PD-L1 affects its interaction with PD-1, but little is known about the distribution of glycoforms at its four NXS/T sequons. We optimized LC-MS/MS methods using collision energy modulation for the site-specific resolution of specific glycan motifs. We demonstrate that PD-L1 on the surface of breast cancer cell line carries mostly complex glycans with a high proportion of polyLacNAc structures at the N219 sequon. Contrary to the full-length protein, the secreted form of PD-L1 expressed in breast MDA-MB-231 or HEK293 cells demonstrated minimum N219 occupancy and low contribution of the polyLacNAc structures. Molecular modeling of PD-L1/PD-1 interaction with N-glycans suggests that glycans at the N219 site of PD-L1 and N74 and N116 of PD-1 may be involved in glycan-glycan interactions, but the impact of this potential interaction on the protein function remains at this point unknown. The interaction of PD-L1 with clinical antibodies is also affected by glycosylation. In conclusion, PD-L1 expressed in the MDA-MB-231 breast cancer cell line carries polyLacNAc glycans mostly at the N219 sequon, which displays the highest variability in occupancy and is most likely to influence the interaction with PD-1.
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Affiliation(s)
- Julius Benicky
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C. 20057, United States.,Clinical and Translational Glycoscience Research Center, Georgetown University, Washington, D.C. 20057, United States
| | - Miloslav Sanda
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C. 20057, United States.,Clinical and Translational Glycoscience Research Center, Georgetown University, Washington, D.C. 20057, United States
| | - Zuzana Brnakova Kennedy
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C. 20057, United States.,Clinical and Translational Glycoscience Research Center, Georgetown University, Washington, D.C. 20057, United States
| | - Oliver C Grant
- Department of Biochemistry and Molecular Biology, Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602, United States
| | - Robert J Woods
- Department of Biochemistry and Molecular Biology, Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602, United States
| | - Alan Zwart
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C. 20057, United States
| | - Radoslav Goldman
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C. 20057, United States.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, D.C. 20057, United States.,Clinical and Translational Glycoscience Research Center, Georgetown University, Washington, D.C. 20057, United States
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18
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Illiano A, Pinto G, Melchiorre C, Carpentieri A, Faraco V, Amoresano A. Protein Glycosylation Investigated by Mass Spectrometry: An Overview. Cells 2020; 9:E1986. [PMID: 32872358 PMCID: PMC7564411 DOI: 10.3390/cells9091986] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/14/2020] [Accepted: 08/24/2020] [Indexed: 12/16/2022] Open
Abstract
The protein glycosylation is a post-translational modification of crucial importance for its involvement in molecular recognition, protein trafficking, regulation, and inflammation. Indeed, abnormalities in protein glycosylation are correlated with several disease states such as cancer, inflammatory diseases, and congenial disorders. The understanding of cellular mechanisms through the elucidation of glycan composition encourages researchers to find analytical solutions for their detection. Actually, the multiplicity and diversity of glycan structures bond to the proteins, the variations in polarity of the individual saccharide residues, and the poor ionization efficiencies make their detection much trickier than other kinds of biopolymers. An overview of the most prominent techniques based on mass spectrometry (MS) for protein glycosylation (glycoproteomics) studies is here presented. The tricks and pre-treatments of samples are discussed as a crucial step prodromal to the MS analysis to improve the glycan ionization efficiency. Therefore, the different instrumental MS mode is also explored for the qualitative and quantitative analysis of glycopeptides and the glycans structural composition, thus contributing to the elucidation of biological mechanisms.
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Affiliation(s)
- Anna Illiano
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
- CEINGE Advanced Biotechnology, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy
| | - Gabriella Pinto
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Chiara Melchiorre
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Andrea Carpentieri
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Vincenza Faraco
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Angela Amoresano
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
- Istituto Nazionale Biostrutture e Biosistemi—Consorzio Interuniversitario, Viale delle Medaglie d’Oro, 305, 00136 Rome, Italy
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19
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di Masi A, De Simone G, Ciaccio C, D'Orso S, Coletta M, Ascenzi P. Haptoglobin: From hemoglobin scavenging to human health. Mol Aspects Med 2020; 73:100851. [PMID: 32660714 DOI: 10.1016/j.mam.2020.100851] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 03/23/2020] [Accepted: 03/25/2020] [Indexed: 02/07/2023]
Abstract
Haptoglobin (Hp) belongs to the family of acute-phase plasma proteins and represents the most important plasma detoxifier of hemoglobin (Hb). The basic Hp molecule is a tetrameric protein built by two α/β dimers. Each Hp α/β dimer is encoded by a single gene and is synthesized as a single polypeptide. Following post-translational protease-dependent cleavage of the Hp polypeptide, the α and β chains are linked by disulfide bridge(s) to generate the mature Hp protein. As human Hp gene is characterized by two common Hp1 and Hp2 alleles, three major genotypes can result (i.e., Hp1-1, Hp2-1, and Hp2-2). Hp regulates Hb clearance from circulation by the macrophage-specific receptor CD163, thus preventing Hb-mediated severe consequences for health. Indeed, the antioxidant and Hb binding properties of Hp as well as its ability to stimulate cells of the monocyte/macrophage lineage and to modulate the helper T-cell type 1 and type 2 balance significantly associate with a variety of pathogenic disorders (e.g., infectious diseases, diabetes, cardiovascular diseases, and cancer). Alternative functions of the variants Hp1 and Hp2 have been reported, particularly in the susceptibility and protection against infectious (e.g., pulmonary tuberculosis, HIV, and malaria) and non-infectious (e.g., diabetes, cardiovascular diseases and obesity) diseases. Both high and low levels of Hp are indicative of clinical conditions: Hp plasma levels increase during infections, inflammation, and various malignant diseases, and decrease during malnutrition, hemolysis, hepatic disease, allergic reactions, and seizure disorders. Of note, the Hp:Hb complexes display heme-based reactivity; in fact, they bind several ferrous and ferric ligands, including O2, CO, and NO, and display (pseudo-)enzymatic properties (e.g., NO and peroxynitrite detoxification). Here, genetic, biochemical, biomedical, and biotechnological aspects of Hp are reviewed.
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Affiliation(s)
- Alessandra di Masi
- Department of Sciences, Roma Tre University, Viale Guglielmo Marconi 446, I-00146 Roma, Italy
| | - Giovanna De Simone
- Department of Sciences, Roma Tre University, Viale Guglielmo Marconi 446, I-00146 Roma, Italy
| | - Chiara Ciaccio
- Department of Clinical Sciences and Translational Medicine, University of Roma "Tor Vergata", Via Montpellier 1, I-00133, Roma, Italy; Interuniversity Consortium for the Research on the Chemistry of Metals in Biological Systems, Via Celso Ulpiani 27, I-70126, Bari, Italy
| | - Silvia D'Orso
- Department of Sciences, Roma Tre University, Viale Guglielmo Marconi 446, I-00146 Roma, Italy
| | - Massimo Coletta
- Department of Clinical Sciences and Translational Medicine, University of Roma "Tor Vergata", Via Montpellier 1, I-00133, Roma, Italy; Interuniversity Consortium for the Research on the Chemistry of Metals in Biological Systems, Via Celso Ulpiani 27, I-70126, Bari, Italy
| | - Paolo Ascenzi
- Interdepartmental Laboratory for Electron Microscopy, Roma Tre University, Via della Vasca Navale 79, I-00146, Roma, Italy.
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20
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Zhu J, Huang J, Zhang J, Chen Z, Lin Y, Grigorean G, Li L, Liu S, Singal AG, Parikh ND, Lubman DM. Glycopeptide Biomarkers in Serum Haptoglobin for Hepatocellular Carcinoma Detection in Patients with Nonalcoholic Steatohepatitis. J Proteome Res 2020; 19:3452-3466. [PMID: 32412768 DOI: 10.1021/acs.jproteome.0c00270] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Nonalcoholic steatohepatitis (NASH) is rising in prevalence in the United States and is a growing cause of hepatocellular carcinomas (HCCs). Site-specific glycan heterogeneity on glycoproteins has been shown as a potential diagnostic biomarker for HCC. Herein, we have performed a comprehensive screening of site-specific N-glycopeptides in serum haptoglobin (Hp), a reporter molecule for aberrant glycosylation in HCC, to characterize glycopeptide markers for NASH-related HCCs. In total, 70 NASH patients (22 early HCC, 15 advanced HCC, and 33 cirrhosis cases) were analyzed, with Hp purified from 20 μL of serum in each patient, and 140 sets of mass spectrometry (MS) data were collected using liquid chromatography coupled with electron-transfer high-energy collisional dissociation tandem MS (LC-EThcD-MS/MS) for quantitative analysis on a novel software platform, Byos. Differential quantitation analysis revealed that five N-glycopeptides at sites N184 and N241 were significantly elevated during the progression from NASH cirrhosis to HCC (p < 0.05). Receiver operating characteristic (ROC) curve analysis demonstrated that the N-glycopeptides at sites N184 and N241 bearing a monofucosylated triantennary glycan A3G3F1S3 had the best diagnostic performance in detection of early NASH HCC, area under the curve (AUC) = 0.733 and 0.775, respectively, whereas α-fetoprotein (AFP) had an AUC of 0.692. When combined with AFP, the two panels improved the sensitivity for early NASH HCC from 59% (AFP alone) to 73% while maintaining a specificity of 70%, based on the optimal cutoff. Two-dimensional (2-D) scatter plots of the AFP value and N-glycopeptides showed that these N-glycopeptide markers detected 58% of AFP-negative HCC patients as distinct from cirrhosis. These site-specific N-glycopeptides could serve as potential markers for early detection of HCC in patients with NASH-related cirrhosis.
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Affiliation(s)
- Jianhui Zhu
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Junfeng Huang
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Jie Zhang
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Zhengwei Chen
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Yu Lin
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Gabriela Grigorean
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.,School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Suyu Liu
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States
| | - Amit G Singal
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Neehar D Parikh
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - David M Lubman
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
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21
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Parikh ND, Mehta AS, Singal AG, Block T, Marrero JA, Lok AS. Biomarkers for the Early Detection of Hepatocellular Carcinoma. Cancer Epidemiol Biomarkers Prev 2020; 29:2495-2503. [PMID: 32238405 DOI: 10.1158/1055-9965.epi-20-0005] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Revised: 02/17/2020] [Accepted: 03/16/2020] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, and the cancer with the fastest increase in mortality in the United States, with more than 39,000 cases and 29,000 deaths in 2018. As with many cancers, survival is significantly improved by early detection. The median survival of patients with early HCC is >60 months but <15 months when detected at an advanced stage. Surveillance of at-risk patients improves outcome, but fewer than 20% of those at risk for HCC receive surveillance, and current surveillance strategies have limited sensitivity and specificity. Ideally, blood-based biomarkers with adequate sensitivity or specificity would be available for early detection of HCC; however, the most commonly used biomarker for HCC, alpha-fetoprotein, has inadequate performance characteristics. There are several candidate serum proteomic, glycomic, and genetic markers that have gone through early stages of biomarker validation and have shown promise for the early detection of HCC, but these markers require validation in well-curated cohorts. Ongoing prospective cohort studies will permit retrospective longitudinal (phase III biomarker study) validation of biomarkers. In this review, we highlight promising candidate biomarkers and biomarker panels that have completed phase II evaluation but require further validation prior to clinical use.See all articles in this CEBP Focus section, "NCI Early Detection Research Network: Making Cancer Detection Possible."
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Affiliation(s)
- Neehar D Parikh
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan.
| | - Anand S Mehta
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, South Carolina
| | - Amit G Singal
- Division of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, Texas
| | - Timothy Block
- Baruch S. Blumberg Institute of The Hepatitis B Foundation, Doylestown, Pennsylvania
| | - Jorge A Marrero
- Division of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, Texas
| | - Anna S Lok
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan
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22
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Klein JA, Zaia J. A Perspective on the Confident Comparison of Glycoprotein Site-Specific Glycosylation in Sample Cohorts. Biochemistry 2019; 59:3089-3097. [PMID: 31833756 DOI: 10.1021/acs.biochem.9b00730] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Protein glycosylation, resulting from glycosyl transferase reactions under complex control in the secretory pathway, consists of a distribution of related glycoforms at each glycosylation site. Because the biosynthetic substrate concentration and transport rates depend on architecture and other aspects of cellular phenotypes, site-specific glycosylation cannot be predicted accurately from genomic, transcriptomic, or proteomic information. Rather, it is necessary to quantify glycosylation at each protein site and how this changes among a sample cohort to provide information about disease mechanisms. At present, mature mass spectrometry-based methods allow for qualitative assignment of the glycan composition and glycosylation site of singly glycosylated proteolytic peptides. To make such quantitative comparisons, it is necessary to sample the glycosylation distribution with sufficient coverage and accuracy for confident assessment of the glycosylation changes that occur in the biological cohort. In this Perspective, we discuss the unmet needs for mass spectrometry acquisition methods and bioinformatics for the confident comparison of protein site-specific glycosylation among sample cohorts.
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23
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Benicky J, Sanda M, Brnakova Kennedy Z, Goldman R. N-Glycosylation is required for secretion of the precursor to brain-derived neurotrophic factor (proBDNF) carrying sulfated LacdiNAc structures. J Biol Chem 2019; 294:16816-16830. [PMID: 31558607 DOI: 10.1074/jbc.ra119.009989] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 09/18/2019] [Indexed: 01/17/2023] Open
Abstract
Brain-derived neurotrophic factor (BDNF) is generated by proteolytic cleavage of a prodomain from the proBDNF precursor either intracellularly by furin-like proteases or extracellularly by plasmin or matrix metalloproteinases. ProBDNF carries a single N-glycosylation sequon (Asn-127) that remains virtually unstudied despite being located in a highly conserved region proximal to the proteolytic site. To study the proBDNF structure and function, here we expressed the protein and its nonglycosylated N127Q mutant in HEK293F cells. We found that mutation of the Asn-127 prevents intracellular maturation and secretion, an effect reproduced in WT proBDNF by tunicamycin-induced inhibition of N-glycosylation. Absence of the N-glycan did not affect the kinetics of proBDNF cleavage by furin in vitro, indicating that effects other than a direct furin-proBDNF interaction may regulate proBDNF maturation. Using an optimized LC-MS/MS workflow, we demonstrate that secreted proBDNF is fully glycosylated and carries rare N-glycans terminated by GalNAcβ1-4GlcNAcβ1-R (LacdiNAc) extensively modified by terminal sulfation. We and others noted that this type of glycosylation is protein-specific, extends to proBDNF expressed in PC12 cells, and implies the presence of interacting partners that recognize this glycan epitope. The findings of our study reveal that proBDNF carries an unusual type of N-glycans important for its processing and secretion. Our results open new opportunities for functional studies of these protein glycoforms in different cells and tissues.
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Affiliation(s)
- Julius Benicky
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D. C. 20057.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, D. C. 20057
| | - Miloslav Sanda
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D. C. 20057.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, D. C. 20057
| | - Zuzana Brnakova Kennedy
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D. C. 20057.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, D. C. 20057
| | - Radoslav Goldman
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D. C. 20057 .,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, D. C. 20057.,Clinical and Translational Glycoscience Research Center, Georgetown University, Washington, D. C. 20057
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24
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Yuan W, Wei R, Goldman R, Sanda M. Optimized Fragmentation for Quantitative Analysis of Fucosylated N-Glycoproteins by LC-MS-MRM. Anal Chem 2019; 91:9206-9212. [PMID: 31268672 DOI: 10.1021/acs.analchem.9b01983] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Quantitative analysis of site specific glycoforms of proteins is technically challenging but highly desirable; resolution of the fucosylated glycoforms is of particular interest due to their biological importance. In this study, we developed a sensitive and specific LC-MS-MRM quantification method that distinguishes the outer arm and core fucosylated configurations of the N-glycopeptides. We take advantage of limited fragmentation of the glycopeptides at low collision energy CID to produce linkage-specific Y-ions. We select these informative ions as MRM transitions for the quantification of the outer arm and total fucosylation of 12 fucosylated glycoforms of 9 glycopeptides in 7 plasma proteins. Our workflow showed improved sensitivity and specificity of quantification of the glycopeptides compared to oxonium ion transitions which allowed us to quantify the glycoforms directly in plasma or serum without fractionation of the samples or glycopeptide enrichment. A pilot study of fucosylation in liver cirrhosis of the HCV and NASH etiologies confirms the quantitative capabilities of the method and shows that liver cirrhosis is consistently associated with increased outer arm fucosylation of majority of the analyzed proteins. The results show that the outer arm fucosylation of the A2G2F1 glycoform of the VDKDLQSLEDILHQVENK peptide of fibrinogen increases greater than 10-fold in the HCV and NASH patients compared to healthy controls.
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Affiliation(s)
- Wei Yuan
- Department of Oncology, Lombardi Comprehensive Cancer Center , Georgetown University , Washington , D.C. 20057 , United States.,Clinical and Translational Glycoscience Research Center , Georgetown University , Washington , D.C. 20057 , United States
| | - Renhuizi Wei
- Department of Oncology, Lombardi Comprehensive Cancer Center , Georgetown University , Washington , D.C. 20057 , United States.,Clinical and Translational Glycoscience Research Center , Georgetown University , Washington , D.C. 20057 , United States
| | - Radoslav Goldman
- Department of Oncology, Lombardi Comprehensive Cancer Center , Georgetown University , Washington , D.C. 20057 , United States.,Department of Biochemistry and Molecular & Cellular Biology , Georgetown University , Washington , D.C. 20057 , United States.,Clinical and Translational Glycoscience Research Center , Georgetown University , Washington , D.C. 20057 , United States
| | - Miloslav Sanda
- Department of Oncology, Lombardi Comprehensive Cancer Center , Georgetown University , Washington , D.C. 20057 , United States.,Clinical and Translational Glycoscience Research Center , Georgetown University , Washington , D.C. 20057 , United States
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25
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Kim KH, Kim JY, Yoo JS. Mass spectrometry analysis of glycoprotein biomarkers in human blood of hepatocellular carcinoma. Expert Rev Proteomics 2019; 16:553-568. [DOI: 10.1080/14789450.2019.1626235] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Kwang Hoe Kim
- Biomedical Omics Group, Korea Basic Science Institute, Cheongju, Republic of Korea
| | - Jin Young Kim
- Biomedical Omics Group, Korea Basic Science Institute, Cheongju, Republic of Korea
| | - Jong Shin Yoo
- Biomedical Omics Group, Korea Basic Science Institute, Cheongju, Republic of Korea
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Republic of Korea
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26
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Ciocan-Cartita CA, Jurj A, Buse M, Gulei D, Braicu C, Raduly L, Cojocneanu R, Pruteanu LL, Iuga CA, Coza O, Berindan-Neagoe I. The Relevance of Mass Spectrometry Analysis for Personalized Medicine through Its Successful Application in Cancer "Omics". Int J Mol Sci 2019; 20:ijms20102576. [PMID: 31130665 PMCID: PMC6567119 DOI: 10.3390/ijms20102576] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 05/21/2019] [Accepted: 05/24/2019] [Indexed: 01/06/2023] Open
Abstract
Mass spectrometry (MS) is an essential analytical technology on which the emerging omics domains; such as genomics; transcriptomics; proteomics and metabolomics; are based. This quantifiable technique allows for the identification of thousands of proteins from cell culture; bodily fluids or tissue using either global or targeted strategies; or detection of biologically active metabolites in ultra amounts. The routine performance of MS technology in the oncological field provides a better understanding of human diseases in terms of pathophysiology; prevention; diagnosis and treatment; as well as development of new biomarkers; drugs targets and therapies. In this review; we argue that the recent; successful advances in MS technologies towards cancer omics studies provides a strong rationale for its implementation in biomedicine as a whole.
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Affiliation(s)
- Cristina Alexandra Ciocan-Cartita
- MEDFUTURE -Research Center for Advanced Medicine," Iuliu Hațieganu" University of Medicine and Pharmacy, 4-6 Louis Pasteur Street, 400349 Cluj-Napoca, Romania.
| | - Ancuța Jurj
- Research Center for Functional Genomics, Biomedicine and Translational Medicine," Iuliu Hațieganu" University of Medicine and Pharmacy.
| | - Mihail Buse
- MEDFUTURE -Research Center for Advanced Medicine," Iuliu Hațieganu" University of Medicine and Pharmacy, 4-6 Louis Pasteur Street, 400349 Cluj-Napoca, Romania.
| | - Diana Gulei
- MEDFUTURE -Research Center for Advanced Medicine," Iuliu Hațieganu" University of Medicine and Pharmacy, 4-6 Louis Pasteur Street, 400349 Cluj-Napoca, Romania.
| | - Cornelia Braicu
- Research Center for Functional Genomics, Biomedicine and Translational Medicine," Iuliu Hațieganu" University of Medicine and Pharmacy.
| | - Lajos Raduly
- Research Center for Functional Genomics, Biomedicine and Translational Medicine," Iuliu Hațieganu" University of Medicine and Pharmacy.
| | - Roxana Cojocneanu
- Research Center for Functional Genomics, Biomedicine and Translational Medicine," Iuliu Hațieganu" University of Medicine and Pharmacy.
| | - Lavinia Lorena Pruteanu
- MEDFUTURE -Research Center for Advanced Medicine," Iuliu Hațieganu" University of Medicine and Pharmacy, 4-6 Louis Pasteur Street, 400349 Cluj-Napoca, Romania.
| | - Cristina Adela Iuga
- MEDFUTURE -Research Center for Advanced Medicine," Iuliu Hațieganu" University of Medicine and Pharmacy, 4-6 Louis Pasteur Street, 400349 Cluj-Napoca, Romania.
- Department of Pharmaceutical Analysis, Faculty of Pharmacy, "Iuliu Hațieganu" University of Medicine and Pharmacy, 6 Louis Pasteur Street, 400349 Cluj-Napoca.
| | - Ovidiu Coza
- Department of Oncology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania.
- Department of Radiotherapy with High Energies and Brachytherapy, Oncology Institute "Prof. Dr. Ion Chiricuta", 34-36 Republicii Street, 400015 Cluj-Napoca.
| | - Ioana Berindan-Neagoe
- MEDFUTURE -Research Center for Advanced Medicine," Iuliu Hațieganu" University of Medicine and Pharmacy, 4-6 Louis Pasteur Street, 400349 Cluj-Napoca, Romania.
- Research Center for Functional Genomics, Biomedicine and Translational Medicine," Iuliu Hațieganu" University of Medicine and Pharmacy.
- Department of Functional Genomics and Experimental Pathology, Ion Chiricuțǎ Oncology Institute, 34-36 Republicii Street, 400015 Cluj-Napoca.
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27
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Parallel reaction monitoring with multiplex immunoprecipitation of N-glycoproteins in human serum for detection of hepatocellular carcinoma. Anal Bioanal Chem 2019; 411:3009-3019. [DOI: 10.1007/s00216-019-01775-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 02/20/2019] [Accepted: 03/11/2019] [Indexed: 01/17/2023]
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28
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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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29
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Wang M, Zhu J, Lubman DM, Gao C. Aberrant glycosylation and cancer biomarker discovery: a promising and thorny journey. Clin Chem Lab Med 2019; 57:407-416. [PMID: 30138110 PMCID: PMC6785348 DOI: 10.1515/cclm-2018-0379] [Citation(s) in RCA: 99] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Accepted: 07/15/2018] [Indexed: 12/12/2022]
Abstract
Glycosylation is among the most important post-translational modifications for proteins and is of intrinsic complex character compared with DNAs and naked proteins. Indeed, over 50%-70% of proteins in circulation are glycosylated, and the "sweet attachments" have versatile structural and functional implications. Both the configuration and composition of the attached glycans affect the biological activities of consensus proteins significantly. Glycosylation is generated by complex biosynthetic pathways comprising hundreds of glycosyltransferases, glycosidases, transcriptional factors, transporters and the protein backbone. In addition, lack of direct genetic templates and glyco-specific antibodies such as those commonly used in DNA amplification and protein capture makes research on glycans and glycoproteins even more difficult, thus resulting in sparse knowledge on the pathophysiological implications of glycosylation. Fortunately, cutting-edge technologies have afforded new opportunities and approaches for investigating cancer-related glycosylation. Thus, glycans as well as aberrantly glycosylated protein-based cancer biomarkers have been increasingly recognized. This mini-review highlights the most recent developments in glyco-biomarker studies in an effort to discover clinically relevant cancer biomarkers using advanced analytical methodologies such as mass spectrometry, high-performance liquid chromatographic/ultra-performance liquid chromatography, capillary electrophoresis, and lectin-based technologies. Recent clinical-centered glycobiological studies focused on determining the regulatory mechanisms and the relation with diagnostics, prognostics and even therapeutics are also summarized. These studies indicate that glycomics is a treasure waiting to be mined where the growth of cancer-related glycomics and glycoproteomics is the next great challenge after genomics and proteomics.
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Affiliation(s)
- Mengmeng Wang
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, P.R. China
| | - Jianhui Zhu
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA
| | - David M. Lubman
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Chunfang Gao
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, P.R. China
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30
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Zhu J, Chen Z, Zhang J, An M, Wu J, Yu Q, Skilton SJ, Bern M, Sen KI, Li L, Lubman DM. Differential Quantitative Determination of Site-Specific Intact N-Glycopeptides in Serum Haptoglobin between Hepatocellular Carcinoma and Cirrhosis Using LC-EThcD-MS/MS. J Proteome Res 2019; 18:359-371. [PMID: 30370771 PMCID: PMC6465142 DOI: 10.1021/acs.jproteome.8b00654] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Intact N-glycopeptide analysis remains challenging due to the complexity of glycopeptide structures, low abundance of glycopeptides in protein digests, and difficulties in data interpretation/quantitation. Herein, we developed a workflow that involved advanced methodologies, the EThcD-MS/MS fragmentation method and data interpretation software, for differential analysis of the microheterogeneity of site-specific intact N-glycopeptides of serum haptoglobin between early hepatocellular carcinoma (HCC) and liver cirrhosis. Haptoglobin was immunopurified from 20 μL of serum in patients with early HCC, liver cirrhosis, and healthy controls, respectively, followed by trypsin/GluC digestion, glycopeptide enrichment, and LC-EThcD-MS/MS analysis. Identification and differential quantitation of site-specific N-glycopeptides were performed using a combination of Byonic and Byologic software. In total, 93, 87, and 68 site-specific N-glycopeptides were identified in early HCC, liver cirrhosis, and healthy controls, respectively, with high confidence. The increased variety of N-glycopeptides in liver diseases compared to healthy controls was due to increased branching with hyper-fucosylation and sialylation. Differential quantitation analysis showed that 5 site-specific N-glycopeptides on sites N184 and N241 were significantly elevated in early HCC compared to cirrhosis ( p < 0.05) and normal controls ( p ≤ 0.001). The result demonstrates that the workflow provides a strategy for detailed profiles of N-glycopeptides of patient samples as well as for relative quantitation to determine the level changes in site-specific N-glycopeptides between disease states.
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Affiliation(s)
- Jianhui Zhu
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Zhengwei Chen
- Department of Chemistry, University of Wisconsin—Madison, Madison, Wisconsin 53706, United States
| | - Jie Zhang
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Mingrui An
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Jing Wu
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Qing Yu
- School of Pharmacy, University of Wisconsin—Madison, Madison, Wisconsin 53705, United States
| | - St. John Skilton
- Protein Metrics Incorporated, San Carlos, California 94070, United States
| | - Marshall Bern
- Protein Metrics Incorporated, San Carlos, California 94070, United States
| | - K. Ilker Sen
- Protein Metrics Incorporated, San Carlos, California 94070, United States
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin—Madison, Madison, Wisconsin 53706, United States
- School of Pharmacy, University of Wisconsin—Madison, Madison, Wisconsin 53705, United States
| | - David M. Lubman
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
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31
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Ma J, Sanda M, Wei R, Zhang L, Goldman R. Quantitative analysis of core fucosylation of serum proteins in liver diseases by LC-MS-MRM. J Proteomics 2018. [PMID: 29427759 DOI: 10.1016/j.jprot.2018.1002.1003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
Aberrant core fucosylation of proteins has been linked to liver diseases. In this study, we carried out multiple reaction monitoring (MRM) quantification of core fucosylated N-glycopeptides of serum proteins partially deglycosylated by a combination of endoglycosidases (endoF1, endoF2, and endoF3). To minimize variability associated with the preparatory steps, the analysis was performed without enrichment of glycopeptides or fractionation of serum besides the nanoRP chromatography. Specifically, we quantified core fucosylation of 22 N-glycopeptides derived from 17 proteins together with protein abundance of these glycoproteins in a cohort of 45 participants (15 disease-free control, 15 fibrosis and 15 cirrhosis patients) using a multiplex nanoUPLC-MS-MRM workflow. We find increased core fucosylation of 5 glycopeptides at the stage of liver fibrosis (i.e., N630 of serotransferrin, N107 of alpha-1-antitrypsin, N253 of plasma protease C1 inhibitor, N397 of ceruloplasmin, and N86 of vitronectin), increase of additional 6 glycopeptides at the stage of cirrhosis (i.e., N138 and N762 of ceruloplasmin, N354 of clusterin, N187 of hemopexin, N71 of immunoglobulin J chain, and N127 of lumican), while the degree of core fucosylation of 10 glycopeptides did not change. Interestingly, although we observe an increase in the core fucosylation at N86 of vitronectin in liver fibrosis, core fucosylation decreases on the N169 glycopeptide of the same protein. Our results demonstrate that the changes in core fucosylation are protein and site specific during the progression of fibrotic liver disease and independent of the changes in the quantity of N-glycoproteins. It is expected that the fully optimized multiplex LC-MS-MRM assay of core fucosylated glycopeptides will be useful for the serologic assessment of the fibrosis of liver. BIOLOGICAL SIGNIFICANCE: We have quantified the difference in core fucosylation among three comparison groups (healthy control, fibrosis and cirrhosis patients) using a sensitive and selective LC-MS-MRM method. Despite an overall increase in core fucosylation of many of the glycoproteins that we examined, core fucosylation changed in a protein- and site-specific manner. Moreover, increased and decreased fucosylation was observed on different N-glycopeptides of the same protein. Altered core fucosylation of N-glycopeptides might be used as an alternative serologic assay for the evaluation of fibrotic liver disease.
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Affiliation(s)
- Junfeng Ma
- Proteomics and Metabolomics Shared Resource, Georgetown University Medical Center, Washington, DC 20057, USA
| | - Miloslav Sanda
- Proteomics and Metabolomics Shared Resource, Georgetown University Medical Center, Washington, DC 20057, USA; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Renhuizi Wei
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Lihua Zhang
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Radoslav Goldman
- Proteomics and Metabolomics Shared Resource, Georgetown University Medical Center, Washington, DC 20057, USA; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA; Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20057, USA.
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Ruhaak LR, Xu G, Li Q, Goonatilleke E, Lebrilla CB. Mass Spectrometry Approaches to Glycomic and Glycoproteomic Analyses. Chem Rev 2018; 118:7886-7930. [PMID: 29553244 PMCID: PMC7757723 DOI: 10.1021/acs.chemrev.7b00732] [Citation(s) in RCA: 253] [Impact Index Per Article: 42.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Glycomic and glycoproteomic analyses involve the characterization of oligosaccharides (glycans) conjugated to proteins. Glycans are produced through a complicated nontemplate driven process involving the competition of enzymes that extend the nascent chain. The large diversity of structures, the variations in polarity of the individual saccharide residues, and the poor ionization efficiencies of glycans all conspire to make the analysis arguably much more difficult than any other biopolymer. Furthermore, the large number of glycoforms associated with a specific protein site makes it more difficult to characterize than any post-translational modification. Nonetheless, there have been significant progress, and advanced separation and mass spectrometry methods have been at its center and the main reason for the progress. While glycomic and glycoproteomic analyses are still typically available only through highly specialized laboratories, new software and workflow is making it more accessible. This review focuses on the role of mass spectrometry and separation methods in advancing glycomic and glycoproteomic analyses. It describes the current state of the field and progress toward making it more available to the larger scientific community.
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Affiliation(s)
- L. Renee Ruhaak
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Gege Xu
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, California 95616, United States
| | - Qiongyu Li
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, California 95616, United States
| | - Elisha Goonatilleke
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, California 95616, United States
| | - Carlito B. Lebrilla
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, California 95616, United States
- Department of Biochemistry and Molecular Medicine, University of California, Davis, Davis, California 95616, United States
- Foods for Health Institute, University of California, Davis, Davis, California 95616, United States
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33
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Yoshida Y, Furukawa JI, Naito S, Higashino K, Numata Y, Shinohara Y. Identification of unique glycoisoforms of vitamin D-binding protein and haptoglobin as biomarker candidates in hepatocarcinogenesis of STAM mice. Glycoconj J 2018; 35:467-476. [DOI: 10.1007/s10719-018-9838-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Revised: 08/02/2018] [Accepted: 08/09/2018] [Indexed: 01/13/2023]
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34
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Yuan W, Benicky J, Wei R, Goldman R, Sanda M. Quantitative Analysis of Sex-Hormone-Binding Globulin Glycosylation in Liver Diseases by Liquid Chromatography-Mass Spectrometry Parallel Reaction Monitoring. J Proteome Res 2018; 17:2755-2766. [PMID: 29972295 DOI: 10.1021/acs.jproteome.8b00201] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Sex-hormone-binding globulin (SHBG) is a liver-secreted glycoprotein and a major regulator of steroid distribution. It has been reported that the serum concentration of SHBG changes in liver disease. To explore the involvement of SHBG in liver disease of different etiologies in greater detail, we developed a sensitive and selective liquid chromatography-mass spectrometry parallel reaction monitoring workflow to achieve quantitative analysis of SHBG glycosylation microheterogeneity. The method uses energy-optimized "soft" fragmentation to extract informative Y ions for maximal coverage of glycoforms and their quantitative comparisons. A total of 15 N-glycoforms of two N-glycosites and 3 O-glycoforms of 1 O-glycosite of this low-abundance serum protein were simultaneously analyzed in the complex samples. At the same time, we were able to partially resolve linkage isoforms of the fucosylated glycoforms and to identify and quantify SHBG N-glycoforms that were not previously reported. The results show that both core and outer-arm fucosylation of the N-glycoforms increases with liver cirrhosis but that a further increase of fucosylation is not observed with hepatocellular carcinoma (HCC). In contrast, the α-2-6 sialylated glycoform of the O-glycopeptide of SHBG increases in liver cirrhosis, and a significant 2-fold further increase is observed in HCC. In general, we do not find a significant contribution of different liver disease etiologies to the observed changes in glycosylation; however, elevation of the newly reported HexNAc(4)Hex(6) N-glycoform is associated with alcoholic liver disease.
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35
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Kim KH, Lee SY, Hwang H, Lee JY, Ji ES, An HJ, Kim JY, Yoo JS. Direct Monitoring of Fucosylated Glycopeptides of Alpha-Fetoprotein in Human Serum for Early Hepatocellular Carcinoma by Liquid Chromatography-Tandem Mass Spectrometry with Immunoprecipitation. Proteomics Clin Appl 2018; 12:e1800062. [PMID: 29888876 DOI: 10.1002/prca.201800062] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Revised: 05/29/2018] [Indexed: 12/17/2022]
Abstract
PURPOSE Alpha-fetoprotein (AFP) is a widely used serological marker that is associated with hepatocellular carcinoma (HCC). Although the level of AFP is increased in HCC, its sensitivity for diagnosis is poor because AFP levels are also increased in liver diseases. Changes in glycoform, especially fucosylation, have been reported to be associated with the development of HCC. EXPERIMENTAL DESIGN The authors introduce the monitoring of fucosylated glycopeptides by liquid chromatography (LC)-mass spectrometry (MS) combined with immunoprecipitation, where glycan-cleaved fragments with an amino acid sequence are used as transitions. Furthermore, neuraminidase for desialylation is useful to improve the MS detection limit (limit of detection [LOD] <2 ng mL-1 ) in 0.1 μL of serum. RESULTS The performance of the relative percentage of fucosylated AFP (AFP-fuc%) for differentiating between early HCC and cirrhosis is better than that of serum AFP levels as indicated by a greater area under the receiver operator characteristic curve (area under the curve = 0.962 vs. 0.628) and sensitivity (92.3% vs. 53.9%), respectively. Furthermore, the inter- and intraday repeatability of AFP-fuc% in serum is less than 2.1%. CONCLUSIONS AND CLINICAL RELEVANCE These findings suggest that glycopeptide-based LC-MS/MS is a promising method and that AFP-fuc% is a clinically useful parameter for differentiating between early HCC and liver cirrhosis.
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Affiliation(s)
- Kwang Hoe Kim
- Biomedical Omics Research Group, Korea Basic Science Institute, Cheongju, Ochang-eup, 28119, Republic of Korea.,Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Soo-Youn Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea
| | - Heeyoun Hwang
- Biomedical Omics Research Group, Korea Basic Science Institute, Cheongju, Ochang-eup, 28119, Republic of Korea
| | - Ju Yeon Lee
- Biomedical Omics Research Group, Korea Basic Science Institute, Cheongju, Ochang-eup, 28119, Republic of Korea
| | - Eun Sun Ji
- Biomedical Omics Research Group, Korea Basic Science Institute, Cheongju, Ochang-eup, 28119, Republic of Korea
| | - Hyun Joo An
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Jin Young Kim
- Biomedical Omics Research Group, Korea Basic Science Institute, Cheongju, Ochang-eup, 28119, Republic of Korea
| | - Jong Shin Yoo
- Biomedical Omics Research Group, Korea Basic Science Institute, Cheongju, Ochang-eup, 28119, Republic of Korea.,Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, 34134, Republic of Korea
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36
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Frost DC, Li L. Recent advances in mass spectrometry-based glycoproteomics. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2018; 95:71-123. [PMID: 24985770 DOI: 10.1016/b978-0-12-800453-1.00003-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Protein glycosylation plays fundamental roles in many biological processes as one of the most common, and the most complex, posttranslational modification. Alterations in glycosylation profile are now known to be associated with many diseases. As a result, the discovery and detailed characterization of glycoprotein disease biomarkers is a primary interest of biomedical research. Advances in mass spectrometry (MS)-based glycoproteomics and glycomics are increasingly enabling qualitative and quantitative approaches for site-specific structural analysis of protein glycosylation. While the complexity presented by glycan heterogeneity and the wide dynamic range of clinically relevant samples like plasma, serum, cerebrospinal fluid, and tissue make comprehensive analyses of the glycoproteome a challenging task, the ongoing efforts into the development of glycoprotein enrichment, enzymatic digestion, and separation strategies combined with novel quantitative MS methodologies have greatly improved analytical sensitivity, specificity, and throughput. This review summarizes current MS-based glycoproteomics approaches and highlights recent advances in its application to cancer biomarker and neurodegenerative disease research.
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Affiliation(s)
- Dustin C Frost
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA
| | - Lingjun Li
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA; Department of Chemistry, University of Wisconsin, Madison, Wisconsin, USA.
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37
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Ma J, Sanda M, Wei R, Zhang L, Goldman R. Quantitative analysis of core fucosylation of serum proteins in liver diseases by LC-MS-MRM. J Proteomics 2018; 189:67-74. [PMID: 29427759 DOI: 10.1016/j.jprot.2018.02.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 01/30/2018] [Accepted: 02/02/2018] [Indexed: 12/22/2022]
Abstract
Aberrant core fucosylation of proteins has been linked to liver diseases. In this study, we carried out multiple reaction monitoring (MRM) quantification of core fucosylated N-glycopeptides of serum proteins partially deglycosylated by a combination of endoglycosidases (endoF1, endoF2, and endoF3). To minimize variability associated with the preparatory steps, the analysis was performed without enrichment of glycopeptides or fractionation of serum besides the nanoRP chromatography. Specifically, we quantified core fucosylation of 22 N-glycopeptides derived from 17 proteins together with protein abundance of these glycoproteins in a cohort of 45 participants (15 disease-free control, 15 fibrosis and 15 cirrhosis patients) using a multiplex nanoUPLC-MS-MRM workflow. We find increased core fucosylation of 5 glycopeptides at the stage of liver fibrosis (i.e., N630 of serotransferrin, N107 of alpha-1-antitrypsin, N253 of plasma protease C1 inhibitor, N397 of ceruloplasmin, and N86 of vitronectin), increase of additional 6 glycopeptides at the stage of cirrhosis (i.e., N138 and N762 of ceruloplasmin, N354 of clusterin, N187 of hemopexin, N71 of immunoglobulin J chain, and N127 of lumican), while the degree of core fucosylation of 10 glycopeptides did not change. Interestingly, although we observe an increase in the core fucosylation at N86 of vitronectin in liver fibrosis, core fucosylation decreases on the N169 glycopeptide of the same protein. Our results demonstrate that the changes in core fucosylation are protein and site specific during the progression of fibrotic liver disease and independent of the changes in the quantity of N-glycoproteins. It is expected that the fully optimized multiplex LC-MS-MRM assay of core fucosylated glycopeptides will be useful for the serologic assessment of the fibrosis of liver. BIOLOGICAL SIGNIFICANCE: We have quantified the difference in core fucosylation among three comparison groups (healthy control, fibrosis and cirrhosis patients) using a sensitive and selective LC-MS-MRM method. Despite an overall increase in core fucosylation of many of the glycoproteins that we examined, core fucosylation changed in a protein- and site-specific manner. Moreover, increased and decreased fucosylation was observed on different N-glycopeptides of the same protein. Altered core fucosylation of N-glycopeptides might be used as an alternative serologic assay for the evaluation of fibrotic liver disease.
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Affiliation(s)
- Junfeng Ma
- Proteomics and Metabolomics Shared Resource, Georgetown University Medical Center, Washington, DC 20057, USA
| | - Miloslav Sanda
- Proteomics and Metabolomics Shared Resource, Georgetown University Medical Center, Washington, DC 20057, USA; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Renhuizi Wei
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Lihua Zhang
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA
| | - Radoslav Goldman
- Proteomics and Metabolomics Shared Resource, Georgetown University Medical Center, Washington, DC 20057, USA; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA; Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20057, USA.
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38
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Zhang S, Cao X, Gao Q, Liu Y. Protein glycosylation in viral hepatitis-related HCC: Characterization of heterogeneity, biological roles, and clinical implications. Cancer Lett 2017; 406:64-70. [DOI: 10.1016/j.canlet.2017.07.026] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Revised: 07/26/2017] [Accepted: 07/30/2017] [Indexed: 12/12/2022]
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39
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Hu H, Khatri K, Zaia J. Algorithms and design strategies towards automated glycoproteomics analysis. MASS SPECTROMETRY REVIEWS 2017; 36:475-498. [PMID: 26728195 PMCID: PMC4931994 DOI: 10.1002/mas.21487] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Accepted: 11/30/2015] [Indexed: 05/09/2023]
Abstract
Glycoproteomics involves the study of glycosylation events on protein sequences ranging from purified proteins to whole proteome scales. Understanding these complex post-translational modification (PTM) events requires elucidation of the glycan moieties (monosaccharide sequences and glycosidic linkages between residues), protein sequences, as well as site-specific attachment of glycan moieties onto protein sequences, in a spatial and temporal manner in a variety of biological contexts. Compared with proteomics, bioinformatics for glycoproteomics is immature and many researchers still rely on tedious manual interpretation of glycoproteomics data. As sample preparation protocols and analysis techniques have matured, the number of publications on glycoproteomics and bioinformatics has increased substantially; however, the lack of consensus on tool development and code reuse limits the dissemination of bioinformatics tools because it requires significant effort to migrate a computational tool tailored for one method design to alternative methods. This review discusses algorithms and methods in glycoproteomics, and refers to the general proteomics field for potential solutions. It also introduces general strategies for tool integration and pipeline construction in order to better serve the glycoproteomics community. © 2016 Wiley Periodicals, Inc. Mass Spec Rev 36:475-498, 2017.
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Affiliation(s)
- Han Hu
- Bioinformatics Program, Boston University, Boston, Massachusetts 02215, USA
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA
| | - Kshitij Khatri
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA
| | - Joseph Zaia
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA
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40
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Quantification of N-glycosylation site occupancy status based on labeling/label-free strategies with LC-MS/MS. Talanta 2017; 170:509-513. [PMID: 28501204 DOI: 10.1016/j.talanta.2017.04.053] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 04/18/2017] [Accepted: 04/21/2017] [Indexed: 12/30/2022]
Abstract
Protein N-glycosylation plays important roles in physiological and pathological processes. Characterizing the site-specific N-glycosylation including N-glycan macroheterogeneity (glycosylation site occupancy) and microheterogeneity (site-specific glycan structure) is important for understanding of glycoprotein biosynthesis and function. N-Glycan macroheterogeneity is a physiological property of glycoprotein and the technical obstacles have restricted research into the regulation and functions of this heterogeneity. Quantification of N-glycosylation site occupancy would uncover the critical role of macroheterogeneity in a variety of biological properties. Liquid chromatography (LC)- mass spectrometry (MS)-based quantification is emerging as a powerful tool for glycosylation characterization. This review summarizes the labeling and label-free quantitative MS approaches for quantifying N-glycosylation site occupancy, including its quantification for target glycoproteins in recent years.
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41
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Faria SS, Morris CFM, Silva AR, Fonseca MP, Forget P, Castro MS, Fontes W. A Timely Shift from Shotgun to Targeted Proteomics and How It Can Be Groundbreaking for Cancer Research. Front Oncol 2017; 7:13. [PMID: 28265552 PMCID: PMC5316539 DOI: 10.3389/fonc.2017.00013] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 01/17/2017] [Indexed: 01/10/2023] Open
Abstract
The fact that cancer is a leading cause of death all around the world has naturally sparked major efforts in the pursuit of novel and more efficient biomarkers that could better serve as diagnostic tools, prognostic predictors, or therapeutical targets in the battle against this type of disease. Mass spectrometry-based proteomics has proven itself as a robust and logical alternative to the immuno-based methods that once dominated the field. Nevertheless, intrinsic limitations of classic proteomic approaches such as the natural gap between shotgun discovery-based methods and clinically applicable results have called for the implementation of more direct, hypothesis-based studies such as those made available through targeted approaches, that might be able to streamline biomarker discovery and validation as a means to increase survivability of affected patients. In fact, the paradigm shifting potential of modern targeted proteomics applied to cancer research can be demonstrated by the large number of advancements and increasing examples of new and more useful biomarkers found during the course of this review in different aspects of cancer research. Out of the many studies dedicated to cancer biomarker discovery, we were able to devise some clear trends, such as the fact that breast cancer is the most common type of tumor studied and that most of the research for any given type of cancer is focused on the discovery diagnostic biomarkers, with the exception of those that rely on samples other than plasma and serum, which are generally aimed toward prognostic markers. Interestingly, the most common type of targeted approach is based on stable isotope dilution-selected reaction monitoring protocols for quantification of the target molecules. Overall, this reinforces that notion that targeted proteomics has already started to fulfill its role as a groundbreaking strategy that may enable researchers to catapult the number of viable, effective, and validated biomarkers in cancer clinical practice.
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Affiliation(s)
- Sara S Faria
- Mastology Program, Federal University of Uberlandia (UFU) , Uberlandia , Brazil
| | - Carlos F M Morris
- Laboratory of Biochemistry and Protein Chemistry, Department of Cell Biology, Institute of Biology, University of Brasilia , Brasília , Brazil
| | - Adriano R Silva
- Laboratory of Biochemistry and Protein Chemistry, Department of Cell Biology, Institute of Biology, University of Brasilia , Brasília , Brazil
| | - Micaella P Fonseca
- Laboratory of Biochemistry and Protein Chemistry, Department of Cell Biology, Institute of Biology, University of Brasilia, Brasília, Brazil; Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Patrice Forget
- Department of Anesthesiology and Perioperative Medicine, Universitair Ziekenhuis Brussel, Vrije Universiteit of Brussel , Brussels , Belgium
| | - Mariana S Castro
- Laboratory of Biochemistry and Protein Chemistry, Department of Cell Biology, Institute of Biology, University of Brasilia , Brasília , Brazil
| | - Wagner Fontes
- Laboratory of Biochemistry and Protein Chemistry, Department of Cell Biology, Institute of Biology, University of Brasilia , Brasília , Brazil
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42
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Ruhaak LR. The Use of Multiple Reaction Monitoring on QQQ-MS for the Analysis of Protein- and Site-Specific Glycosylation Patterns in Serum. Methods Mol Biol 2017; 1503:63-82. [PMID: 27743359 DOI: 10.1007/978-1-4939-6493-2_6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
In recent years, high-throughput glycomics approaches have been developed and applied to either complete biofluids, cell lysates or tissues, or proteins isolated thereof. However, during such analyses the N-glycan are released from the protein backbone and therefore site- and protein-specific information is lost. There exists a need for high-throughput methods that allow quantification of site- and protein-specific glycosylation patterns from complex biological mixtures. We here describe the use of a multiple reaction monitoring mass spectrometry based method for the generation of glycopeptide profiles of the nine high abundance glycoproteins IgG, IgA, IgM, haptoglobin, alpha-1-antitrypsin, alpha-2-macroglobulin, alpha-1-acid glycoprotein, transferrin, and complement C3. We show that the sample preparation can be performed at the 96-well level, and using a 17-min gradient on a RP-UPLC-QQQ instrument, 96 samples can be analyzed within 3 days.
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Affiliation(s)
- L Renee Ruhaak
- Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, 6767 Bertner Avenue, Houston, TX, 77030, USA.
- Department of Chemistry, UC Davis, One Shields Avenue, Davis, CA, 95616, USA.
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43
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Kailemia MJ, Park D, Lebrilla CB. Glycans and glycoproteins as specific biomarkers for cancer. Anal Bioanal Chem 2017; 409:395-410. [PMID: 27590322 PMCID: PMC5203967 DOI: 10.1007/s00216-016-9880-6] [Citation(s) in RCA: 245] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 07/28/2016] [Accepted: 08/12/2016] [Indexed: 12/12/2022]
Abstract
Protein glycosylation and other post-translational modifications are involved in potentially all aspects of human growth and development. Defective glycosylation has adverse effects on human physiological conditions and accompanies many chronic and infectious diseases. Altered glycosylation can occur at the onset and/or during tumor progression. Identifying these changes at early disease stages may aid in making decisions regarding treatments, as early intervention can greatly enhance survival. This review highlights some of the efforts being made to identify N- and O-glycosylation profile shifts in cancer using mass spectrometry. The analysis of single or panels of potential glycoprotein cancer markers are covered. Other emerging technologies such as global glycan release and site-specific glycosylation analysis and quantitation are also discussed. Graphical Abstract Steps involved in the biomarker discovery.
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Affiliation(s)
- Muchena J Kailemia
- Department of Chemistry, University of California, Davis, CA, 95616, USA
| | - Dayoung Park
- Department of Chemistry, University of California, Davis, CA, 95616, USA
| | - Carlito B Lebrilla
- Department of Chemistry, University of California, Davis, CA, 95616, USA.
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44
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Zhu R, Song E, Hussein A, Kobeissy FH, Mechref Y. Glycoproteins Enrichment and LC-MS/MS Glycoproteomics in Central Nervous System Applications. Methods Mol Biol 2017; 1598:213-227. [PMID: 28508363 DOI: 10.1007/978-1-4939-6952-4_9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Proteins and glycoproteins play important biological roles in central nervous systems (CNS). Qualitative and quantitative evaluation of proteins and glycoproteins expression in CNS is critical to reveal the inherent biomolecular mechanism of CNS diseases. This chapter describes proteomic and glycoproteomic approaches based on liquid chromatography/tandem mass spectrometry (LC-MS or LC-MS/MS) for the qualitative and quantitative assessment of proteins and glycoproteins expressed in CNS. Proteins and glycoproteins, extracted by a mass spectrometry friendly surfactant from CNS samples, were subjected to enzymatic (tryptic) digestion and three down-stream analyses: (1) a nano LC system coupled with a high-resolution MS instrument to achieve qualitative proteomic profile, (2) a nano LC system combined with a triple quadrupole MS to quantify identified proteins, and (3) glycoprotein enrichment prior to LC-MS/MS analysis. Enrichment techniques can be applied to improve coverage of low abundant glycopeptides/glycoproteins. An example described in this chapter is hydrophilic interaction liquid chromatographic (HILIC) enrichment to capture glycopeptides, allowing efficient removal of peptides. The combination of three LC-MS/MS-based approaches is capable of the investigation of large-scale proteins and glycoproteins from CNS with an in-depth coverage, thus offering a full view of proteins and glycoproteins changes in CNS.
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Affiliation(s)
- Rui Zhu
- Department of Chemistry and Biochemistry, Texas Tech University, Memorial Circle & Boston Ave., Box 41061, Lubbock, TX, 79409-1061, USA
| | - Ehwang Song
- Department of Chemistry and Biochemistry, Texas Tech University, Memorial Circle & Boston Ave., Box 41061, Lubbock, TX, 79409-1061, USA
| | - Ahmed Hussein
- Department of Biotechnology, Institute of Graduate Studies and Research, University of Alexandria, Alexandria, 21526, Egypt
| | - Firas H Kobeissy
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.,Department of Psychiatry, Center for Neuroproteomics and Biomarkers Research, University of Florida, Gainesville, FL, USA
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Memorial Circle & Boston Ave., Box 41061, Lubbock, TX, 79409-1061, USA.
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Lee JY, Lee HK, Park GW, Hwang H, Jeong HK, Yun KN, Ji ES, Kim KH, Kim JS, Kim JW, Yun SH, Choi CW, Kim SI, Lim JS, Jeong SK, Paik YK, Lee SY, Park J, Kim SY, Choi YJ, Kim YI, Seo J, Cho JY, Oh MJ, Seo N, An HJ, Kim JY, Yoo JS. Characterization of Site-Specific N-Glycopeptide Isoforms of α-1-Acid Glycoprotein from an Interlaboratory Study Using LC-MS/MS. J Proteome Res 2016; 15:4146-4164. [PMID: 27760464 DOI: 10.1021/acs.jproteome.5b01159] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Glycoprotein conformations are complex and heterogeneous. Currently, site-specific characterization of glycopeptides is a challenge. We sought to establish an efficient method of N-glycoprotein characterization using mass spectrometry (MS). Using alpha-1-acid glycoprotein (AGP) as a model N-glycoprotein, we identified its tryptic N-glycopeptides and examined the data reproducibility in seven laboratories running different LC-MS/MS platforms. We used three test samples and one blind sample to evaluate instrument performance with entire sample preparation workflow. 165 site-specific N-glycopeptides representative of all N-glycosylation sites were identified from AGP 1 and AGP 2 isoforms. The glycopeptide fragmentations by collision-induced dissociation or higher-energy collisional dissociation (HCD) varied based on the MS analyzer. Orbitrap Elite identified the greatest number of AGP N-glycopeptides, followed by Triple TOF and Q-Exactive Plus. Reproducible generation of oxonium ions, glycan-cleaved glycopeptide fragment ions, and peptide backbone fragment ions was essential for successful identification. Laboratory proficiency affected the number of identified N-glycopeptides. The relative quantities of the 10 major N-glycopeptide isoforms of AGP detected in four laboratories were compared to assess reproducibility. Quantitative analysis showed that the coefficient of variation was <25% for all test samples. Our analytical protocol yielded identification and quantification of site-specific N-glycopeptide isoforms of AGP from control and disease plasma sample.
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Affiliation(s)
- Ju Yeon Lee
- Biomedical Omics Group, Korea Basic Science Institute , Ochang 28119, Republic of Korea
| | - Hyun Kyoung Lee
- Biomedical Omics Group, Korea Basic Science Institute , Ochang 28119, Republic of Korea.,Graduate School of Analytical Science and Technology, Chungnam National University , Daejeon 34134, Republic of Korea
| | - Gun Wook Park
- Biomedical Omics Group, Korea Basic Science Institute , Ochang 28119, Republic of Korea.,Graduate School of Analytical Science and Technology, Chungnam National University , Daejeon 34134, Republic of Korea
| | - Heeyoun Hwang
- Biomedical Omics Group, Korea Basic Science Institute , Ochang 28119, Republic of Korea
| | - Hoi Keun Jeong
- Biomedical Omics Group, Korea Basic Science Institute , Ochang 28119, Republic of Korea.,Graduate School of Analytical Science and Technology, Chungnam National University , Daejeon 34134, Republic of Korea
| | - Ki Na Yun
- Biomedical Omics Group, Korea Basic Science Institute , Ochang 28119, Republic of Korea.,Department of Chemistry, Sogang University , Seoul 04107, Republic of Korea
| | - Eun Sun Ji
- Biomedical Omics Group, Korea Basic Science Institute , Ochang 28119, Republic of Korea.,Department of Chemistry, Hannam University , Daejeon 34430, Republic of Korea
| | - Kwang Hoe Kim
- Biomedical Omics Group, Korea Basic Science Institute , Ochang 28119, Republic of Korea.,Graduate School of Analytical Science and Technology, Chungnam National University , Daejeon 34134, Republic of Korea
| | - Jun Seok Kim
- Department of Biomedical Systems Engineering, Korea Polytechnics , Gyeonggi 13590, Republic of Korea
| | - Jong Won Kim
- New Drug Development Center, Osong Medical Innovation Foundation , Cheongju 28160, Republic of Korea
| | - Sung Ho Yun
- Drug & Disease Target Group, Korea Basic Science Institute , Daejeon 34133, Republic of Korea
| | - Chi-Won Choi
- Drug & Disease Target Group, Korea Basic Science Institute , Daejeon 34133, Republic of Korea
| | - Seung Il Kim
- Drug & Disease Target Group, Korea Basic Science Institute , Daejeon 34133, Republic of Korea
| | - Jong-Sun Lim
- Yonsei Proteome Research Center, Yonsei University , Seoul 03722, Republic of Korea
| | - Seul-Ki Jeong
- Yonsei Proteome Research Center, Yonsei University , Seoul 03722, Republic of Korea
| | - Young-Ki Paik
- Yonsei Proteome Research Center, Yonsei University , Seoul 03722, Republic of Korea
| | - Soo-Youn Lee
- Department of Laboratory & Genetics, Samsung Medical Center, Sungkyunkwan University of Medicine , Seoul 06351, Republic of Korea.,Department of Clinical Pharmacology and Therapeutics, Samsung Medical Center , Seoul 06351, Republic of Korea
| | - Jisook Park
- Samsung Biomedical Research Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine , Seoul 06351, Republic of Korea
| | - Su Yeon Kim
- Department of Clinical Research Supporting Team, Clinical Research Institute, Samsung Medical Center , Seoul 06351, Republic of Korea
| | - Young-Jin Choi
- Department of Biochemistry, BK21 PLUS Program for Creative Veterinary Science Research and Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University , Seoul 08826, Republic of Korea
| | - Yong-In Kim
- Department of Biochemistry, BK21 PLUS Program for Creative Veterinary Science Research and Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University , Seoul 08826, Republic of Korea
| | - Jawon Seo
- Department of Biochemistry, BK21 PLUS Program for Creative Veterinary Science Research and Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University , Seoul 08826, Republic of Korea
| | - Je-Yoel Cho
- Department of Biochemistry, BK21 PLUS Program for Creative Veterinary Science Research and Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University , Seoul 08826, Republic of Korea
| | - Myoung Jin Oh
- Graduate School of Analytical Science and Technology, Chungnam National University , Daejeon 34134, Republic of Korea
| | - Nari Seo
- Graduate School of Analytical Science and Technology, Chungnam National University , Daejeon 34134, Republic of Korea
| | - Hyun Joo An
- Graduate School of Analytical Science and Technology, Chungnam National University , Daejeon 34134, Republic of Korea
| | - Jin Young Kim
- Biomedical Omics Group, Korea Basic Science Institute , Ochang 28119, Republic of Korea
| | - Jong Shin Yoo
- Biomedical Omics Group, Korea Basic Science Institute , Ochang 28119, Republic of Korea.,Graduate School of Analytical Science and Technology, Chungnam National University , Daejeon 34134, Republic of Korea
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46
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Site-specific analysis of changes in the glycosylation of proteins in liver cirrhosis using data-independent workflow with soft fragmentation. Anal Bioanal Chem 2016; 409:619-627. [PMID: 27822650 DOI: 10.1007/s00216-016-0041-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Revised: 10/08/2016] [Accepted: 10/18/2016] [Indexed: 12/13/2022]
Abstract
Cirrhosis of the liver is associated with increased fucosylation of proteins in the plasma. We describe a data-independent (DIA) strategy for comparative analysis of the site-specific glycoforms of plasma glycoproteins. A library of 161 glycoforms of 25 N-glycopeptides was established by data-dependent LC-MS/MS analysis of a tryptic digest of 14 human protein groups retained on a multiple affinity removal column. The collision-induced dissociation conditions were adjusted to maximize the yield of selective Y-ions which were quantified by a data-independent mass spectrometry workflow using a 10-Da acquisition window. Using this workflow, we quantified 125 glycoforms of 25 glycopeptides, covering 10 of the 14 proteins, without any further glycopeptide enrichment. Comparison of the proteins in the plasma of healthy controls and cirrhotic patients shows an average 1.5-fold increase in the fucosylation of bi-antennary glycoforms and 3-fold increase in the fucosylation of tri- and tetra- antennary glycoforms. These results show that the adjusted glycopeptide DIA workflow using soft collision-induced fragmentation of glycopeptides is suitable for site-specific analysis of protein glycosylation in complex mixtures of analytes without glycopeptide enrichment.
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47
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Sanda M, Benicky J, Wu J, Wang Y, Makambi K, Ahn J, Smith CI, Zhao P, Zhang L, Goldman R. Increased sialylation of site specific O-glycoforms of hemopexin in liver disease. Clin Proteomics 2016; 13:24. [PMID: 27688741 PMCID: PMC5034550 DOI: 10.1186/s12014-016-9125-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Accepted: 09/16/2016] [Indexed: 02/07/2023] Open
Abstract
Background Non-invasive monitoring of liver disease remains an important health issue. Liver secreted glycoproteins reflect pathophysiological states of the organ and represent a rational target for serologic monitoring. In this study, we describe sialylated O-glycoforms of liver-secreted hemopexin (HPX) and quantify them as a ratio of disialylated to monosialylated form (S-HPX). Methods We measured S-HPX in serum of participants of the HALT-C trial using a LC–MS/MS-MRM assay. Results Repeated measurements of S-HPX in the samples of 23 disease-free controls, collected at four different time points, show that the ratio remains stable in the healthy controls but increases with the progression of liver disease. The results of measurement of S-HPX in serum of participants of the HALT-C trial show that it increased significantly (Kruskal–Wallis test, p < 0.01) in liver disease as the stage of fibrosis progressed in liver biopsies. We observed a 1.7-fold increase in fibrosis defined as Ishak score 3–4 (24.9 + 14.2, n = 22) and 4.7-fold increase in cirrhosis defined as Ishak score 5–6 (68.6 + 38.5; n = 24) compared to disease-free controls (14.7 + 6.7, n = 23). S-HPX is correlated with AFP, bilirubin, INR, ALT, and AST while inversely correlated with platelet count and albumin. In an independent verification set of samples, S-HPX separated the Ishak 5–6 (n = 15) from the Ishak 3–4 (n = 15) participants with AuROC 0.84; at the same time, the Ishak 3–4 group was separated from disease-free controls (n = 15) with AuROC 0.82. Conclusion S-HPX, a measure of sialylated O-glycoforms of hemopexin, progressively increases in fibrotic and cirrhotic patient of HCV etiology and can be quantified by an LC–MS/MS-MRM assay in unfractionated serum of patients. Quantification of sialylated O-glycoforms of this liver secreted glycoprotein represents a novel measure of the stage of liver disease that could have a role in monitoring the progression of liver pathology. Electronic supplementary material The online version of this article (doi:10.1186/s12014-016-9125-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Miloslav Sanda
- Department of Oncology, Georgetown University, PS Room GD11, 3800 Reservoir Rd NW, Washington, DC 20057 USA
| | - Julius Benicky
- Department of Oncology, Georgetown University, NRB Room E207, 3970 Reservoir Rd NW, Washington, DC 20057 USA
| | - Jing Wu
- Department of Oncology, Georgetown University, NRB Room E207, 3970 Reservoir Rd NW, Washington, DC 20057 USA
| | - Yiwen Wang
- Department of Oncology, Georgetown University, NRB Room E207, 3970 Reservoir Rd NW, Washington, DC 20057 USA
| | - Kepher Makambi
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Building D Suite 180 Room 185, 4000 Reservoir Rd NW, Washington, DC 20057 USA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Basic Science Building D Room 255, 3900 Reservoir Rd NW, Washington, DC 20057 USA
| | - Coleman I Smith
- MedStar Georgetown University Transplant Institute, 2-PHC, 3800 Reservoir Rd NW, Washington, DC 20057 USA
| | - Peng Zhao
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA USA
| | - Lihua Zhang
- Department of Oncology, Georgetown University, PS Room GD11, 3800 Reservoir Rd NW, Washington, DC 20057 USA
| | - Radoslav Goldman
- Department of Oncology, Georgetown University, NRB Room E207, 3970 Reservoir Rd NW, Washington, DC 20057 USA
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48
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Darebna P, Novak P, Kucera R, Topolcan O, Sanda M, Goldman R, Pompach P. Changes in the expression of N- and O-glycopeptides in patients with colorectal cancer and hepatocellular carcinoma quantified by full-MS scan FT-ICR and multiple reaction monitoring. J Proteomics 2016; 153:44-52. [PMID: 27646713 DOI: 10.1016/j.jprot.2016.09.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Revised: 08/22/2016] [Accepted: 09/08/2016] [Indexed: 12/17/2022]
Abstract
Alternations in the glycosylation of proteins have been described in connection with several cancers, including hepatocellular carcinoma (HCC) and colorectal cancer. Analytical tools, which use combination of liquid chromatography and mass spectrometry, allow precise and sensitive description of these changes. In this study, we use MRM and FT-ICR operating in full-MS scan, to determine ratios of intensities of specific glycopeptides in HCC, colorectal cancer, and liver metastasis of colorectal cancer. Haptoglobin, hemopexin and complement factor H were detected after albumin depletion and the N-linked glycopeptides with fucosylated glycans were compared with their non-fucosylated forms. In addition, sialylated forms of an O-linked glycopeptide of hemopexin were quantified in the same samples. We observe significant increase in fucosylation of all three proteins and increase in bi-sialylated O-glycopeptide of hemopexin in HCC of hepatitis C viral (HCV) etiology by both LC-MS methods. The results of the MRM and full-MS scan FT-ICR analyses provide comparable quantitative readouts in spite of chromatographic, mass spectrometric and data analysis differences. Our results suggest that both workflows allow adequate relative quantification of glycopeptides and suggest that HCC of HCV etiology differs in glycosylation from colorectal cancer and liver metastasis of colorectal cancer. SIGNIFICANCE The article compares N- and O-glycosylation of several serum proteins in different diseases by a fast and easy sample preparation procedure in combination with high resolution Fourier transform ion cyclotron resonance mass spectrometry. The results show successful glycopeptides relative quantification in a complex peptide mixture by the high resolution instrument and the detection of glycan differences between the different types of cancer diseases. The presented method is comparable to conventional targeted MRM approach but allows additional curation of the data.
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Affiliation(s)
- Petra Darebna
- Department of Biochemistry, Faculty of Sciences, Charles University, Prague, Czech Republic
| | - Petr Novak
- Institute of Microbiology v.v.i., Czech Academy of Sciences, Prague, Czech Republic; Department of Biochemistry, Faculty of Sciences, Charles University, Prague, Czech Republic
| | - Radek Kucera
- Laboratory of Immunoanalysis, Faculty Hospital in Pilsen, Pilsen, Czech Republic
| | - Ondrej Topolcan
- Laboratory of Immunoanalysis, Faculty Hospital in Pilsen, Pilsen, Czech Republic
| | - Miloslav Sanda
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Radoslav Goldman
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Petr Pompach
- Institute of Microbiology v.v.i., Czech Academy of Sciences, Prague, Czech Republic; Department of Biochemistry, Faculty of Sciences, Charles University, Prague, Czech Republic.
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49
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Prabhala BK, Mirza O, Højrup P, Hansen PR. Characterization of Synthetic Peptides by Mass Spectrometry. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2016; 1348:77-82. [PMID: 26424265 DOI: 10.1007/978-1-4939-2999-3_9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Mass spectrometry (MS) is well suited for analysis of the identity and purity of synthetic peptides. The sequence of a synthetic peptide is most often known, so the analysis is mainly used to confirm the identity and purity of the peptide. Here, simple procedures are described for MALDI-TOF-MS and LC-MS of synthetic peptides.
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Affiliation(s)
- Bala K Prabhala
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Osman Mirza
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Højrup
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Paul R Hansen
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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50
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Chandler KB, Costello CE. Glycomics and glycoproteomics of membrane proteins and cell-surface receptors: Present trends and future opportunities. Electrophoresis 2016; 37:1407-19. [PMID: 26872045 PMCID: PMC4889498 DOI: 10.1002/elps.201500552] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Revised: 02/02/2016] [Accepted: 02/02/2016] [Indexed: 12/16/2022]
Abstract
Membrane proteins mediate cell-cell interactions and adhesion, the transfer of ions and metabolites, and the transmission of signals from the extracellular environment to the cell interior. The extracellular domains of most cell membrane proteins are glycosylated, often at multiple sites. There is a growing awareness that glycosylation impacts the structure, interaction, and function of membrane proteins. The application of glycoproteomics and glycomics methods to membrane proteins has great potential. However, challenges also arise from the unique physical properties of membrane proteins. Successful analytical workflows must be developed and disseminated to advance functional glycoproteomics and glycomics studies of membrane proteins. This review explores the opportunities and challenges related to glycomic and glycoproteomic analysis of membrane proteins, including discussion of sample preparation, enrichment, and MS/MS analyses, with a focus on recent successful workflows for analysis of N- and O-linked glycosylation of mammalian membrane proteins.
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Affiliation(s)
- Kevin Brown Chandler
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Catherine E Costello
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
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