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Abstract
Biomarkers factor into the diagnosis and treatment of almost every patient with cancer. The innovation in proteomics follows improvement of mass spectrometry techniques and data processing strategy. Recently, proteomics and typical biological studies have been the answer for clinical applications. The clinical proteomics techniques are now actively adapted to protein identification in large patient cohort, biomarker development for more sensitive and specific screening based on quantitative data. And, it is important for clinical, translational researchers to be acutely aware of the issues surrounding appropriate biomarker development, in order to facilitate entry of clinically useful biomarkers into the clinic. Here, we discuss in detail include the case research for clinical proteomics. Furthermore, we give an overview on the current developments and novel findings in proteomics-based cancer biomarker research.
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Dufresne J, Bowden P, Thavarajah T, Florentinus-Mefailoski A, Chen ZZ, Tucholska M, Norzin T, Ho MT, Phan M, Mohamed N, Ravandi A, Stanton E, Slutsky AS, Dos Santos CC, Romaschin A, Marshall JC, Addison C, Malone S, Heyland D, Scheltens P, Killestein J, Teunissen C, Diamandis EP, Siu KWM, Marshall JG. The plasma peptides of breast versus ovarian cancer. Clin Proteomics 2019; 16:43. [PMID: 31889940 PMCID: PMC6927194 DOI: 10.1186/s12014-019-9262-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 12/05/2019] [Indexed: 02/07/2023] Open
Abstract
Background There is a need to demonstrate a proof of principle that proteomics has the capacity to analyze plasma from breast cancer versus other diseases and controls in a multisite clinical trial design. The peptides or proteins that show a high observation frequency, and/or precursor intensity, specific to breast cancer plasma might be discovered by comparison to other diseases and matched controls. The endogenous tryptic peptides of breast cancer plasma were compared to ovarian cancer, female normal, sepsis, heart attack, Alzheimer's and multiple sclerosis along with the institution-matched normal and control samples collected directly onto ice. Methods Endogenous tryptic peptides were extracted from individual breast cancer and control EDTA plasma samples in a step gradient of acetonitrile, and collected over preparative C18 for LC-ESI-MS/MS with a set of LTQ XL linear quadrupole ion traps working together in parallel to randomly and independently sample clinical populations. The MS/MS spectra were fit to fully tryptic peptides or phosphopeptides within proteins using the X!TANDEM algorithm. The protein observation frequency was counted using the SEQUEST algorithm after selecting the single best charge state and peptide sequence for each MS/MS spectra. The observation frequency was subsequently tested by Chi Square analysis. The log10 precursor intensity was compared by ANOVA in the R statistical system. Results Peptides and/or phosphopeptides of common plasma proteins such as APOE, C4A, C4B, C3, APOA1, APOC2, APOC4, ITIH3 and ITIH4 showed increased observation frequency and/or precursor intensity in breast cancer. Many cellular proteins also showed large changes in frequency by Chi Square (χ2 > 100, p < 0.0001) in the breast cancer samples such as CPEB1, LTBP4, HIF-1A, IGHE, RAB44, NEFM, C19orf82, SLC35B1, 1D12A, C8orf34, HIF1A, OCLN, EYA1, HLA-DRB1, LARS, PTPDC1, WWC1, ZNF562, PTMA, MGAT1, NDUFA1, NOGOC, OR1E1, OR1E2, CFI, HSA12, GCSH, ELTD1, TBX15, NR2C2, FLJ00045, PDLIM1, GALNT9, ASH2L, PPFIBP1, LRRC4B, SLCO3A1, BHMT2, CS, FAM188B2, LGALS7, SAT2, SFRS8, SLC22A12, WNT9B, SLC2A4, ZNF101, WT1, CCDC47, ERLIN1, SPFH1, EID2, THOC1, DDX47, MREG, PTPRE, EMILIN1, DKFZp779G1236 and MAP3K8 among others. The protein gene symbols with large Chi Square values were significantly enriched in proteins that showed a complex set of previously established functional and structural relationships by STRING analysis. An increase in mean precursor intensity of peptides was observed for QSER1 as well as SLC35B1, IQCJ-SCHIP1, MREG, BHMT2, LGALS7, THOC1, ANXA4, DHDDS, SAT2, PTMA and FYCO1 among others. In contrast, the QSER1 peptide QPKVKAEPPPK was apparently specific to ovarian cancer. Conclusion There was striking agreement between the breast cancer plasma peptides and proteins discovered by LC-ESI-MS/MS with previous biomarkers from tumors, cells lines or body fluids by genetic or biochemical methods. The results indicate that variation in plasma peptides from breast cancer versus ovarian cancer may be directly discovered by LC-ESI-MS/MS that will be a powerful tool for clinical research. It may be possible to use a battery of sensitive and robust linear quadrupole ion traps for random and independent sampling of plasma from a multisite clinical trial.
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Affiliation(s)
- Jaimie Dufresne
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada
| | - Pete Bowden
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada
| | - Thanusi Thavarajah
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada
| | - Angelique Florentinus-Mefailoski
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada
| | - Zhuo Zhen Chen
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada
| | - Monika Tucholska
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada
| | - Tenzin Norzin
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada
| | - Margaret Truc Ho
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada
| | - Morla Phan
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada
| | - Nargiz Mohamed
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada
| | - Amir Ravandi
- 2Institute of Cardiovascular Sciences, St. Boniface Hospital Research Center, University of Manitoba, Winnipeg, Canada
| | - Eric Stanton
- 3Division of Cardiology, Department of Medicine, McMaster University, Hamilton, Canada
| | - Arthur S Slutsky
- 4St. Michael's Hospital, Keenan Chair in Medicine, Professor of Medicine, Surgery & Biomedical Engineering, University of Toronto, Toronto, Canada
| | - Claudia C Dos Santos
- 5St. Michael's Hospital, Keenan Research Centre for Biomedical Science, Toronto, Canada
| | - Alexander Romaschin
- 5St. Michael's Hospital, Keenan Research Centre for Biomedical Science, Toronto, Canada
| | - John C Marshall
- 5St. Michael's Hospital, Keenan Research Centre for Biomedical Science, Toronto, Canada
| | - Christina Addison
- 6Program for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Shawn Malone
- 6Program for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Daren Heyland
- 7Clinical Evaluation Research Unit, Kingston General Hospital, Kingston, Canada
| | - Philip Scheltens
- 8Alzheimer Center, Dept of Neurology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Joep Killestein
- 9MS Center, Dept of Neurology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Charlotte Teunissen
- 10Neurochemistry Lab and Biobank, Dept of Clinical Chemsitry, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | | | - K W M Siu
- 12University of Windsor, Windsor, Canada
| | - John G Marshall
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada.,13International Biobank of Luxembourg (IBBL), Luxembourg Institute of Health (formerly CRP Sante Luxembourg), Strassen, Luxembourg
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3
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Abstract
Cancer has high incidence and it will continue to increase over the next decades. Detection and quantification of cancer-associated biomarkers is frequently carried out for diagnosis, prognosis and treatment monitoring at various disease stages. It is well-known that glycosylation profiles change significantly during oncogenesis. Aberrant glycans produced during tumorigenesis are, therefore, valuable molecules for detection and characterization of cancer, and for therapeutic design and monitoring. Although glycoproteomics has benefited from the development of analytical tools such as high performance liquid chromatography, two-dimensional gel and capillary electrophoresis and mass spectrometry, these approaches are not well suited for rapid point-of-care (POC) testing easily performed by medical staff. Lectins are biomolecules found in nature with specific affinities toward particular glycan structures and bind them thus forming a relatively strong complex. Because of this characteristic, lectins have been used in analytical techniques for the selective capture or separation of certain glycans in complex samples, namely, in lectin affinity chromatography, or to characterize glycosylation profiles in diverse clinical situations, using lectin microarrays. Lectin-based biosensors have been developed for the detection of specific aberrant and cancer-associated glycostructures to aid diagnosis, prognosis and treatment assessment of these patients. The attractive features of biosensors, such as portability and simple use make them highly suitable for POC testing. Recent developments in lectin biosensors, as well as their potential and pitfalls in cancer glycan biomarker detection, are presented in this chapter.
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Affiliation(s)
- M Luísa S Silva
- Centre of Chemical Research, Autonomous University of Hidalgo State, Pachuca, Hidalgo, México.
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4
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Abstract
Glycosylation is one of the most ubiquitous and complex post-translational modifications (PTMs). It plays pivotal roles in various biological processes. Studies at the glycopeptide level are typically considered as a downstream work resulting from enzymatic digested glycoproteins. Less attention has been focused on glycosylated endogenous signaling peptides due to their low abundance, structural heterogeneity and the lack of enabling analytical tools. Here, protocols are presented to isolate and characterize glycosylated neuropeptides utilizing nanoflow liquid chromatography coupled with mass spectrometry (LC-MS). We first demonstrate how to extract neuropeptides from raw tissues and perform further separation/cleanup before MS analysis. Then we describe hybrid MS methods for glycosylated neuropeptide profiling and site-specific analysis. We also include recommendations for data analysis to identify glycosylated neuropeptides in crustaceans where a complete neuropeptide database is still lacking. Other strategies and future directions are discussed to provide readers with alternative approaches and further unravel biological complexity rendered by glycosylation.
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Affiliation(s)
- Yang Liu
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, United States
| | - Qinjingwen Cao
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, United States
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, United States; School of Pharmacy, University of Wisconsin-Madison, Madison, WI, United States.
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5
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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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6
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Narimatsu H, Kaji H, Vakhrushev SY, Clausen H, Zhang H, Noro E, Togayachi A, Nagai-Okatani C, Kuno A, Zou X, Cheng L, Tao SC, Sun Y. Current Technologies for Complex Glycoproteomics and Their Applications to Biology/Disease-Driven Glycoproteomics. J Proteome Res 2018; 17:4097-4112. [PMID: 30359034 DOI: 10.1021/acs.jproteome.8b00515] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Glycoproteomics is an important recent advance in the field of glycoscience. In glycomics, glycan structures are comprehensively analyzed after glycans are released from glycoproteins. However, a major limitation of glycomics is the lack of insight into glycoprotein functions. The Biology/Disease-driven Human Proteome Project has a particular focus on biological and medical applications. Glycoproteomics technologies aimed at obtaining a comprehensive understanding of intact glycoproteins, i.e., the kind of glycan structures that are attached to particular amino acids and proteins, have been developed. This Review focuses on the recent progress of the technologies and their applications. First, the methods for large-scale identification of both N- and O-glycosylated proteins are summarized. Next, the progress of analytical methods for intact glycopeptides is outlined. MS/MS-based methods were developed for improving the sensitivity and speed of the mass spectrometer, in parallel with the software for complex spectrum assignment. In addition, a unique approach to identify intact glycopeptides using MS1-based accurate masses is introduced. Finally, as an advance of glycomics, two approaches to provide the spatial distribution of glycans in cells are described, i.e., MS imaging and lectin microarray. These methods allow rapid glycomic profiling of different types of biological samples and thus facilitate glycoproteomics.
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Affiliation(s)
- Hisashi Narimatsu
- Biotechnology Research Institute for Drug Discovery , National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono , Tsukuba , Ibaraki 305-8568 , Japan
| | - Hiroyuki Kaji
- Biotechnology Research Institute for Drug Discovery , National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono , Tsukuba , Ibaraki 305-8568 , Japan
| | - Sergey Y Vakhrushev
- Copenhagen Center for Glycomics , University of Copenhagen , Blegdamsvej 3 , Copenhagen 2200 , Denmark
| | - Henrik Clausen
- Copenhagen Center for Glycomics , University of Copenhagen , Blegdamsvej 3 , Copenhagen 2200 , Denmark
| | - Hui Zhang
- Center for Biomarker Discovery and Translation , Johns Hopkins University , 400 North Broadway , Baltimore , Maryland 21205 , United States
| | - Erika Noro
- Biotechnology Research Institute for Drug Discovery , National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono , Tsukuba , Ibaraki 305-8568 , Japan
| | - Akira Togayachi
- Biotechnology Research Institute for Drug Discovery , National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono , Tsukuba , Ibaraki 305-8568 , Japan
| | - Chiaki Nagai-Okatani
- Biotechnology Research Institute for Drug Discovery , National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono , Tsukuba , Ibaraki 305-8568 , Japan
| | - Atsushi Kuno
- Biotechnology Research Institute for Drug Discovery , National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono , Tsukuba , Ibaraki 305-8568 , Japan
| | - Xia Zou
- Biotechnology Research Institute for Drug Discovery , National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono , Tsukuba , Ibaraki 305-8568 , Japan.,Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education) , Shanghai Jiao Tong University , 800 Dong Chuan Road , Minhang , Shanghai 200240 , P.R. China
| | - Li Cheng
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education) , Shanghai Jiao Tong University , 800 Dong Chuan Road , Minhang , Shanghai 200240 , P.R. China
| | - Sheng-Ce Tao
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education) , Shanghai Jiao Tong University , 800 Dong Chuan Road , Minhang , Shanghai 200240 , P.R. China
| | - Yangyang Sun
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education) , Shanghai Jiao Tong University , 800 Dong Chuan Road , Minhang , Shanghai 200240 , P.R. China
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7
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Li S, Qin Y, Zhong G, Cai C, Chen X, Chen C. Highly Efficient Separation of Glycoprotein by Dual-Functional Magnetic Metal-Organic Framework with Hydrophilicity and Boronic Acid Affinity. ACS APPLIED MATERIALS & INTERFACES 2018; 10:27612-27620. [PMID: 30052420 DOI: 10.1021/acsami.8b07671] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Protein glycosylation plays a critical role in post-translational modifications of proteins in the organism and is involved in many diseases. However, the huge challenge for glycoproteins to be highly specific isolated and adsorbed from complicated biological samples results from their low abundance and interference. In this work, a novel dual-functionalized magnetic metal-organic frameworks nanoparticle for selective enrichment of glycoproteins was synthesized for the first time. Due to the abundant amino groups and grafted phenylboronic acid, the proposed nanoparticles have the dual properties of hydrophilicity and boronic acid affinity. The obtained nanoparticles show high binding capacities toward glycoproteins under physiological state (pH 7.4) such as ovalbumin (327.28 mg/g), transferrin (241.17 mg/g), horseradish peroxidase (530.79 mg/g). Furthermore, the nanoparticles still have excellent enrichment performance after being used six times repeatedly. More importantly, the prepared nanoparticles also have great potential applications in the adsorption of glycoproteins from complex biological specimens.
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Affiliation(s)
- Shuting Li
- Key Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry , Xiangtan University , Xiangtan 411105 , China
| | - Yanru Qin
- Key Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry , Xiangtan University , Xiangtan 411105 , China
| | - Guanqun Zhong
- Key Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry , Xiangtan University , Xiangtan 411105 , China
| | - Changqun Cai
- Key Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry , Xiangtan University , Xiangtan 411105 , China
| | - Xiaoming Chen
- Key Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry , Xiangtan University , Xiangtan 411105 , China
| | - Chunyan Chen
- Key Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry , Xiangtan University , Xiangtan 411105 , China
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8
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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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9
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Ma W, Xu L, Li X, Shen S, Wu M, Bai Y, Liu H. Cysteine-Functionalized Metal-Organic Framework: Facile Synthesis and High Efficient Enrichment of N-Linked Glycopeptides in Cell Lysate. ACS APPLIED MATERIALS & INTERFACES 2017; 9:19562-19568. [PMID: 28537384 DOI: 10.1021/acsami.7b02853] [Citation(s) in RCA: 92] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Cysteine-functionalized metal-organic framework (MOF) was synthesized via a common and facile two-step method of in situ loading of Au nanoparticles on amino-derived MOF followed by l-cysteine (Cys) immobilization. Owing to the large specific surface area and ultrahigh hydrophilicity of this nanocomposite, excellent performance was observed in the enrichment of N-linked glycopeptides in both model glycoprotein and HeLa cell lysate. By using this nanocomposite, 16 and 31 glycopeptides were efficiently extracted from digest of horseradish peroxidase (HRP) and human serum immunoglobulin G (IgG), respectively. The short incubation time (5 min), large binding capacity (150 mg/g, IgG digest to material), good selectivity (1:50, molar ratio of IgG and bovine serum albumin (BSA) digest), high recovery (over 80%), and low detection limit (1 fmol) ensure the effectiveness and robustness of MIL-101(NH2)@Au-Cys in complex HeLa cell lysate. As a result, 1123 N-glycosylation sites corresponding to 1069 N-glycopeptides and 614 N-glycoproteins were identified from the lysate. Compared with those of previously reported hydrophilic methods, to our knowledge, it was the best result. This work paves a new way for fast functionalization of MOF and also provides a novel idea for material design in sample preparation, especially in glycoproteome and related analysis.
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Affiliation(s)
- Wen Ma
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry, Peking University , Beijing 100871, P. R. China
| | - Linnan Xu
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry, Peking University , Beijing 100871, P. R. China
| | - Xianjiang Li
- Division of Metrology in Chemistry and Analytical Science, National Institute of Metrology , Beijing 100029, P. R. China
| | - Sensen Shen
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry, Peking University , Beijing 100871, P. R. China
| | - Mei Wu
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry, Peking University , Beijing 100871, P. R. China
| | - Yu Bai
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry, Peking University , Beijing 100871, P. R. China
| | - Huwei Liu
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry, Peking University , Beijing 100871, P. R. China
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10
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Poiroux G, Barre A, van Damme EJM, Benoist H, Rougé P. Plant Lectins Targeting O-Glycans at the Cell Surface as Tools for Cancer Diagnosis, Prognosis and Therapy. Int J Mol Sci 2017; 18:ijms18061232. [PMID: 28598369 PMCID: PMC5486055 DOI: 10.3390/ijms18061232] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 05/26/2017] [Accepted: 05/31/2017] [Indexed: 12/30/2022] Open
Abstract
Aberrant O-glycans expressed at the surface of cancer cells consist of membrane-tethered glycoproteins (T and Tn antigens) and glycolipids (Lewis a, Lewis x and Forssman antigens). All of these O-glycans have been identified as glyco-markers of interest for the diagnosis and the prognosis of cancer diseases. These epitopes are specifically detected using T/Tn-specific lectins isolated from various plants such as jacalin from Artocarpus integrifola, and fungi such as the Agaricus bisporus lectin. These lectins accommodate T/Tn antigens at the monosaccharide-binding site; residues located in the surrounding extended binding-site of the lectins often participate in the binding of more extended epitopes. Depending on the shape and size of the extended carbohydrate-binding site, their fine sugar-binding specificity towards complex O-glycans readily differs from one lectin to another, resulting in a great diversity in their sugar-recognition capacity. T/Tn-specific lectins have been extensively used for the histochemical detection of cancer cells in biopsies and for the follow up of the cancer progression and evolution. T/Tn-specific lectins also induce a caspase-dependent apoptosis in cancer cells, often associated with a more or less severe inhibition of proliferation. Moreover, they provide another potential source of molecules adapted to the building of photosensitizer-conjugates allowing a specific targeting to cancer cells, for the photodynamic treatment of tumors.
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Affiliation(s)
- Guillaume Poiroux
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche, Centre de Recherche en Cancérologie de Toulouse, 31037 Toulouse, France.
| | - Annick Barre
- Unité Mixte de Recherche, 152 PharmaDev, Institut de Recherche et Développement, Faculté de Pharmacie, 35 Chemin des Maraîchers Université Paul Sabatier, 31062 Toulouse, France.
| | - Els J M van Damme
- Department of Molecular Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, B-9000 Ghent, Belgium.
| | - Hervé Benoist
- Unité Mixte de Recherche, 152 PharmaDev, Institut de Recherche et Développement, Faculté de Pharmacie, 35 Chemin des Maraîchers Université Paul Sabatier, 31062 Toulouse, France.
| | - Pierre Rougé
- Unité Mixte de Recherche, 152 PharmaDev, Institut de Recherche et Développement, Faculté de Pharmacie, 35 Chemin des Maraîchers Université Paul Sabatier, 31062 Toulouse, France.
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11
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An engineered high affinity Fbs1 carbohydrate binding protein for selective capture of N-glycans and N-glycopeptides. Nat Commun 2017; 8:15487. [PMID: 28534482 PMCID: PMC5457524 DOI: 10.1038/ncomms15487] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 03/31/2017] [Indexed: 12/13/2022] Open
Abstract
A method for selective and comprehensive enrichment of N-linked glycopeptides was developed to facilitate detection of micro-heterogeneity of N-glycosylation. The method takes advantage of the inherent properties of Fbs1, which functions within the ubiquitin-mediated degradation system to recognize the common core pentasaccharide motif (Man3GlcNAc2) of N-linked glycoproteins. We show that Fbs1 is able to bind diverse types of N-linked glycomolecules; however, wild-type Fbs1 preferentially binds high-mannose-containing glycans. We identified Fbs1 variants through mutagenesis and plasmid display selection, which possess higher affinity and improved recovery of complex N-glycomolecules. In particular, we demonstrate that the Fbs1 GYR variant may be employed for substantially unbiased enrichment of N-linked glycopeptides from human serum. Most importantly, this highly efficient N-glycopeptide enrichment method enables the simultaneous determination of N-glycan composition and N-glycosites with a deeper coverage (compared to lectin enrichment) and improves large-scale N-glycoproteomics studies due to greatly reduced sample complexity. Protein glycosylation is an essential post-translational modification which analysis is complicated by the diversity of glycan composition and heterogeneity at individual attachment sites. Here the authors describe a method to selectively enrich N-linked glycopeptides to facilitate the detection of micro-heterogeneity in N-glycosylation.
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12
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Chen BJ, Lam TC, Liu LQ, To CH. Post-translational modifications and their applications in eye research (Review). Mol Med Rep 2017; 15:3923-3935. [PMID: 28487982 DOI: 10.3892/mmr.2017.6529] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2016] [Accepted: 02/22/2017] [Indexed: 02/05/2023] Open
Abstract
Gene expression is the process by which genetic information is used for the synthesis of a functional gene product, and ultimately regulates cell function. The increase of biological complexity from genome to proteome is vast, and the post-translational modification (PTM) of proteins contribute to this complexity. The study of protein expression and PTMs has attracted attention in the post‑genomic era. Due to the limited capability of conventional biochemical techniques in the past, large‑scale PTM studies were technically challenging. The introduction of effective protein separation methods, specific PTM purification strategies and advanced mass spectrometers has enabled the global profiling of PTMs and the identification of a targeted PTM within the proteome. The present review provides an overview of current proteomic technologies being applied in eye research, with a particular focus on studies of PTMs in ocular tissues and ocular diseases.
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Affiliation(s)
- Bing-Jie Chen
- Department of Optometry and Visual Science, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Thomas Chuen Lam
- Laboratory of Experimental Optometry, Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, SAR, P.R. China
| | - Long-Qian Liu
- Department of Optometry and Visual Science, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Chi-Ho To
- Laboratory of Experimental Optometry, Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, SAR, P.R. China
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13
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Abstract
Protein glycosylation is one of the most important posttranslational modifications. Numerous biological functions are related to protein glycosylation. However, analytical challenges remain in the glycoprotein analysis. To overcome the challenges associated with glycoprotein analysis, many analytical techniques were developed in recent years. Enrichment methods were used to improve the sensitivity of detection, while HPLC and mass spectrometry methods were developed to facilitate the separation of glycopeptides/proteins and enhance detection, respectively. Fragmentation techniques applied in modern mass spectrometers allow the structural interpretation of glycopeptides/proteins, while automated software tools started replacing manual processing to improve the reliability and throughput of the analysis. In this chapter, the current methodologies of glycoprotein analysis were discussed. Multiple analytical techniques are compared, and advantages and disadvantages of each technique are highlighted.
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14
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Gao HJ, Chen YJ, Zuo D, Xiao MM, Li Y, Guo H, Zhang N, Chen RB. Quantitative proteomic analysis for high-throughput screening of differential glycoproteins in hepatocellular carcinoma serum. Cancer Biol Med 2015; 12:246-54. [PMID: 26487969 PMCID: PMC4607824 DOI: 10.7497/j.issn.2095-3941.2015.0010] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths. Novel serum biomarkers are required to increase the sensitivity and specificity of serum screening for early HCC diagnosis. This study employed a quantitative proteomic strategy to analyze the differential expression of serum glycoproteins between HCC and normal control serum samples. METHODS Lectin affinity chromatography (LAC) was used to enrich glycoproteins from the serum samples. Quantitative mass spectrometric analysis combined with stable isotope dimethyl labeling and 2D liquid chromatography (LC) separations were performed to examine the differential levels of the detected proteins between HCC and control serum samples. Western blot was used to analyze the differential expression levels of the three serum proteins. RESULTS A total of 2,280 protein groups were identified in the serum samples from HCC patients by using the 2D LC-MS/MS method. Up to 36 proteins were up-regulated in the HCC serum, whereas 19 proteins were down-regulated. Three differential glycoproteins, namely, fibrinogen gamma chain (FGG), FOS-like antigen 2 (FOSL2), and α-1,6-mannosylglycoprotein 6-β-N-acetylglucosaminyltransferase B (MGAT5B) were validated by Western blot. All these three proteins were up-regulated in the HCC serum samples. CONCLUSION A quantitative glycoproteomic method was established and proven useful to determine potential novel biomarkers for HCC.
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Affiliation(s)
- Hua-Jun Gao
- 1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Ya-Jing Chen
- 1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Duo Zuo
- 1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Ming-Ming Xiao
- 1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Ying Li
- 1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Hua Guo
- 1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Ning Zhang
- 1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Rui-Bing Chen
- 1 Research Center of Basic Medical Sciences & School of Medical Laboratory, Tianjin Medical University, Tianjin 300070, China ; 2 Laboratory of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
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15
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A lectin-based isolation/enrichment strategy for improved coverage of N-glycan analysis. Carbohydr Res 2015; 416:7-13. [DOI: 10.1016/j.carres.2015.08.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Revised: 07/28/2015] [Accepted: 08/12/2015] [Indexed: 11/18/2022]
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16
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Yao F, Zhang C, Du W, Liu C, Xu Y. Identification of Gene-Expression Signatures and Protein Markers for Breast Cancer Grading and Staging. PLoS One 2015; 10:e0138213. [PMID: 26375396 PMCID: PMC4573873 DOI: 10.1371/journal.pone.0138213] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Accepted: 08/27/2015] [Indexed: 12/13/2022] Open
Abstract
The grade of a cancer is a measure of the cancer's malignancy level, and the stage of a cancer refers to the size and the extent that the cancer has spread. Here we present a computational method for prediction of gene signatures and blood/urine protein markers for breast cancer grades and stages based on RNA-seq data, which are retrieved from the TCGA breast cancer dataset and cover 111 pairs of disease and matching adjacent noncancerous tissues with pathologists-assigned stages and grades. By applying a differential expression and an SVM-based classification approach, we found that 324 and 227 genes in cancer have their expression levels consistently up-regulated vs. their matching controls in a grade- and stage-dependent manner, respectively. By using these genes, we predicted a 9-gene panel as a gene signature for distinguishing poorly differentiated from moderately and well differentiated breast cancers, and a 19-gene panel as a gene signature for discriminating between the moderately and well differentiated breast cancers. Similarly, a 30-gene panel and a 21-gene panel are predicted as gene signatures for distinguishing advanced stage (stages III-IV) from early stage (stages I-II) cancer samples and for distinguishing stage II from stage I samples, respectively. We expect these gene panels can be used as gene-expression signatures for cancer grade and stage classification. In addition, of the 324 grade-dependent genes, 188 and 66 encode proteins that are predicted to be blood-secretory and urine-excretory, respectively; and of the 227 stage-dependent genes, 123 and 51 encode proteins predicted to be blood-secretory and urine-excretory, respectively. We anticipate that some combinations of these blood and urine proteins could serve as markers for monitoring breast cancer at specific grades and stages through blood and urine tests.
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Affiliation(s)
- Fang Yao
- Key Laboratory for Symbolic Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China
- Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, and Institute of Bioinformatics, University of Georgia, Athens, United States of America
- Jilin Teachers’ Institute of Engineering and Technology, Changchun, China
| | - Chi Zhang
- Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, and Institute of Bioinformatics, University of Georgia, Athens, United States of America
| | - Wei Du
- Key Laboratory for Symbolic Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China
- Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, and Institute of Bioinformatics, University of Georgia, Athens, United States of America
- * E-mail: (WD); (YX)
| | - Chao Liu
- Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, and Institute of Bioinformatics, University of Georgia, Athens, United States of America
- Department of Oral and Maxillofacial Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Ying Xu
- Key Laboratory for Symbolic Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China
- Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, and Institute of Bioinformatics, University of Georgia, Athens, United States of America
- * E-mail: (WD); (YX)
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Song E, Mechref Y. Defining glycoprotein cancer biomarkers by MS in conjunction with glycoprotein enrichment. Biomark Med 2015; 9:835-44. [PMID: 26330015 DOI: 10.2217/bmm.15.55] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Protein glycosylation is an important and common post-translational modification. More than 50% of human proteins are believed to be glycosylated to modulate the functionality of proteins. Aberrant glycosylation has been correlated to several diseases, such as inflammatory skin diseases, diabetes mellitus, cardiovascular disorders, rheumatoid arthritis, Alzheimer's and prion diseases, and cancer. Many approved cancer biomarkers are glycoproteins which are not highly abundant proteins. Therefore, effective qualitative and quantitative assessment of glycoproteins entails enrichment methods. This chapter summarizes glycoprotein enrichment methods, including lectin affinity, immunoaffinity, hydrazide chemistry, hydrophilic interaction liquid chromatography, and click chemistry. The use of these enrichment approaches in assessing the qualitative and quantitative changes of glycoproteins in different types of cancers are presented and discussed. This chapter highlights the importance of glycoprotein enrichment techniques for the identification and characterization of new reliable cancer biomarkers.
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Affiliation(s)
- Ehwang Song
- Department of Chemistry & Biochemistry, Texas Tech University, Lubbock, TX 79409, USA
| | - Yehia Mechref
- Department of Chemistry & Biochemistry, Texas Tech University, Lubbock, TX 79409, USA
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18
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Polyethyleneimine-grafted boronate affinity materials for selective enrichment of cis -diol-containing compounds. Talanta 2015; 140:1-9. [DOI: 10.1016/j.talanta.2015.03.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Revised: 03/02/2015] [Accepted: 03/03/2015] [Indexed: 11/18/2022]
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19
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Bults P, van de Merbel NC, Bischoff R. Quantification of biopharmaceuticals and biomarkers in complex biological matrices: a comparison of liquid chromatography coupled to tandem mass spectrometry and ligand binding assays. Expert Rev Proteomics 2015; 12:355-74. [DOI: 10.1586/14789450.2015.1050384] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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20
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Gbormittah FO, Lee LY, Taylor K, Hancock WS, Iliopoulos O. Comparative studies of the proteome, glycoproteome, and N-glycome of clear cell renal cell carcinoma plasma before and after curative nephrectomy. J Proteome Res 2014; 13:4889-900. [PMID: 25184692 PMCID: PMC4227548 DOI: 10.1021/pr500591e] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
![]()
Clear cell renal cell carcinoma
is the most prevalent of all reported kidney cancer cases, and currently
there are no markers for early diagnosis. This has stimulated great
research interest recently because early detection of the disease
can significantly improve the low survival rate. Combining the proteome,
glycoproteome, and N-glycome data from clear cell renal cell carcinoma
plasma has the potential of identifying candidate markers for early
diagnosis and prognosis and/or to monitor disease recurrence. Here,
we report on the utilization of a multi-dimensional fractionation
approach (12P-M-LAC) and LC–MS/MS to comprehensively investigate
clear cell renal cell carcinoma plasma collected before (disease)
and after (non-disease) curative nephrectomy (n =
40). Proteins detected in the subproteomes were investigated via label-free
quantification. Protein abundance analysis revealed a number of low-level
proteins with significant differential expression levels in disease
samples, including HSPG2, CD146, ECM1, SELL, SYNE1, and VCAM1. Importantly,
we observed a strong correlation between differentially expressed
proteins and clinical status of the patient. Investigation of the
glycoproteome returned 13 candidate glycoproteins with significant
differential M-LAC column binding. Qualitative analysis indicated
that 62% of selected candidate glycoproteins showed higher levels
(upregulation) in M-LAC bound fraction of disease samples. This observation
was further confirmed by released N-glycans data in which 53% of identified
N-glycans were present at different levels in plasma in the disease
vs non-disease samples. This striking result demonstrates the potential
for significant protein glycosylation alterations in clear cell renal
cell carcinoma cancer plasma. With future validation in a larger cohort,
information derived from this study may lead to the development of
clear cell renal cell carcinoma candidate biomarkers.
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Affiliation(s)
- Francisca O Gbormittah
- Barnett Institute and Department of Chemistry and Chemical Biology, Northeastern University , 360 Huntington Avenue, Boston, Massachusetts 02115, United States
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21
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Song E, Zhu R, Hammoud ZT, Mechref Y. LC-MS/MS quantitation of esophagus disease blood serum glycoproteins by enrichment with hydrazide chemistry and lectin affinity chromatography. J Proteome Res 2014; 13:4808-20. [PMID: 25134008 PMCID: PMC4227547 DOI: 10.1021/pr500570m] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
![]()
Changes
in glycosylation have been shown to have a profound correlation
with development/malignancy in many cancer types. Currently, two major
enrichment techniques have been widely applied in glycoproteomics,
namely, lectin affinity chromatography (LAC)-based and hydrazide chemistry
(HC)-based enrichments. Here we report the LC–MS/MS quantitative
analyses of human blood serum glycoproteins and glycopeptides associated
with esophageal diseases by LAC- and HC-based enrichment. The separate
and complementary qualitative and quantitative data analyses of protein
glycosylation were performed using both enrichment techniques. Chemometric
and statistical evaluations, PCA plots, or ANOVA test, respectively,
were employed to determine and confirm candidate cancer-associated
glycoprotein/glycopeptide biomarkers. Out of 139, 59 common glycoproteins
(42% overlap) were observed in both enrichment techniques. This overlap
is very similar to previously published studies. The quantitation
and evaluation of significantly changed glycoproteins/glycopeptides
are complementary between LAC and HC enrichments. LC–ESI–MS/MS
analyses indicated that 7 glycoproteins enriched by LAC and 11 glycoproteins
enriched by HC showed significantly different abundances between disease-free
and disease cohorts. Multiple reaction monitoring quantitation resulted
in 13 glycopeptides by LAC enrichment and 10 glycosylation sites by
HC enrichment to be statistically different among disease cohorts.
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Affiliation(s)
- Ehwang Song
- Department of Chemistry and Biochemistry, Texas Tech University , Memorial Circle & Boston, Lubbock, Texas 79409, United States
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22
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Tan B, Matsuda A, Zhang Y, Kuno A, Narimatsu H. Multilectin-assisted fractionation for improved single-dot tissue glycome profiling in clinical glycoproteomics. MOLECULAR BIOSYSTEMS 2014; 10:201-5. [PMID: 24301485 DOI: 10.1039/c3mb70430k] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
To survey the glycome shift in cancer, single-dot tissue glycome profiling was improved by incorporating a lectin-assisted fractionation. The differential analysis of tissue specimens from colorectal cancer patients (n = 45) revealed that unfucosylated/α2,6-sialylated glycoproteins significantly increased in patients with poor prognoses. The detailed annotation will be an indispensable supplement for cancer-related glyco-biomarker discovery.
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Affiliation(s)
- Binbin Tan
- Research Center for Medical Glycoscience (RCMG), National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan.
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23
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Lin Z, Yin H, Lo A, Ruffin MT, Anderson MA, Simeone DM, Lubman DM. Label-free relative quantification of alpha-2-macroglobulin site-specific core-fucosylation in pancreatic cancer by LC-MS/MS. Electrophoresis 2014; 35:2108-15. [PMID: 24285556 PMCID: PMC4035462 DOI: 10.1002/elps.201300376] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2013] [Revised: 11/18/2013] [Accepted: 11/19/2013] [Indexed: 12/20/2022]
Abstract
We describe a label-free relative quantification LC-MS/MS method for core-fucosylation in alpha-2-macroglobulin (A2MG) immunoprecipitated from human sera. The method utilizes endoglycosidase F partial deglycosylation to reduce glycosylation microheterogeneity, while retaining the innermost N-acetylglucosamine (GlcNAc) and core fucose. Precursor ion peak areas of partially deglycosylated peptides were obtained and site-specific core-fucosylation ratios based on the peak areas of core-fucosylated and nonfucosylated counterparts were calculated and evaluated for assay development. This assay was applied in a preliminary study of sera samples from normal controls and patients with pancreatic diseases, including pancreatic cancer and chronic pancreatitis. A2MG fucosylation levels at sites N396 and N1424 were found to decrease in both chronic pancreatitis and pancreatic cancer compared to normal controls. The two sites were identified by two peptides and their core-fucosylation ratios were found to be internally consistent. This method provides a platform to quantify fucosylation levels and can be used to study site-specific core-fucosylation aberrations in other glycoproteins for other diseases.
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Affiliation(s)
- Zhenxin Lin
- Department of Chemistry, The University of Michigan
| | - Haidi Yin
- Department of Surgery, The University of Michigan Medical Center
| | - Andy Lo
- Department of Surgery, The University of Michigan Medical Center
| | - Mack T. Ruffin
- Department of Family Medicine, The University of Michigan Medical Center
| | - Michelle A. Anderson
- Department of Internal Medicine, Division of Gastroenterology, The University of Michigan Medical Center
| | - Diane M. Simeone
- Department of Surgery, The University of Michigan Medical Center
| | - David M. Lubman
- Department of Chemistry, The University of Michigan
- Department of Surgery, The University of Michigan Medical Center
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24
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Sogabe M, Nozaki H, Tanaka N, Kubota T, Kaji H, Kuno A, Togayachi A, Gotoh M, Nakanishi H, Nakanishi T, Mikami M, Suzuki N, Kiguchi K, Ikehara Y, Narimatsu H. Novel glycobiomarker for ovarian cancer that detects clear cell carcinoma. J Proteome Res 2014; 13:1624-35. [PMID: 24498956 DOI: 10.1021/pr401109n] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Epithelial ovarian cancer (EOC) is often asymptomatic and thus diagnosed at advanced stages with a poor prognosis. False-negative results for the conventional marker CA125 frequently occur in cases of clear cell carcinoma (CCC), a type of EOC; therefore, it is necessary to develop biomarkers with greater sensitivity. We previously reported a strategy to discover glycobiomarker candidates by combined lectin microarray and IGOT-LC/MS analysis. We have now optimized this strategy for discovering EOC biomarkers. Glycopeptides possessing cancerous glycans were enriched from the ascites fluids and culture supernatants of cancer cell lines with a fucose-binding lectin, AAL. IGOT-LC/MS analysis of CCC samples yielded 144 candidate glycoproteins. We selected WFA by lectin microarray as the optimal lectin to distinguish EOC from gastric and colon cancer. The candidates were narrowed by Western analysis of the WFA-bound fraction of ascites fluids. One of the final candidates, WFA-reactive ceruloplasmin, produced higher signals in the ascites fluids of EOC patients, including CCC, in comparison with the benign samples, while CA125 levels were comparable in the sandwich ELISA. Thus, our glycoproteomic strategy featuring efficient enrichment of glycans with disease-related alterations is applicable to various diseases.
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Affiliation(s)
- Maki Sogabe
- Research Center for Medical Glycoscience (RCMG), National Institute of Advanced Industrial Science and Technology (AIST) , Central-2, 1-1-1 Umezono, Tsukuba 305-8568, Japan
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25
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Abstract
Glycoproteins play an important role in cell signaling and cell-cell interaction. The alterations of glycoproteins are often relevant to progression of diseases, and these changed glycoproteins can be important biomarkers. The lectin-based glycoproteomic technology has extensively been used for high-throughput screening of potential glycoprotein biomarkers. Here we describe a multi-lectin affinity chromatography and label-free quantitative glycoproteomic approach for discovery of glycoprotein biomarkers relevant to differentiation of glioblastoma stem cells.
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Affiliation(s)
- Jintang He
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI, USA
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26
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Wang J, Zhou C, Zhang W, Yao J, Lu H, Dong Q, Zhou H, Qin L. An integrative strategy for quantitative analysis of the N-glycoproteome in complex biological samples. Proteome Sci 2014; 12:4. [PMID: 24428921 PMCID: PMC3923275 DOI: 10.1186/1477-5956-12-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2013] [Accepted: 12/27/2013] [Indexed: 12/23/2022] Open
Abstract
Background The complexity of protein glycosylation makes it difficult to characterize glycosylation patterns on a proteomic scale. In this study, we developed an integrated strategy for comparatively analyzing N-glycosylation/glycoproteins quantitatively from complex biological samples in a high-throughput manner. This strategy entailed separating and enriching glycopeptides/glycoproteins using lectin affinity chromatography, and then tandem labeling them with 18O/16O to generate a mass shift of 6 Da between the paired glycopeptides, and finally analyzing them with liquid chromatography-mass spectrometry (LC-MS) and the automatic quantitative method we developed based on Mascot Distiller. Results The accuracy and repeatability of this strategy were first verified using standard glycoproteins; linearity was maintained within a range of 1:10–10:1. The peptide concentration ratios obtained by the self-build quantitative method were similar to both the manually calculated and theoretical values, with a standard deviation (SD) of 0.023–0.186 for glycopeptides. The feasibility of the strategy was further confirmed with serum from hepatocellular carcinoma (HCC) patients and healthy individuals; the expression of 44 glycopeptides and 30 glycoproteins were significantly different between HCC patient and control serum. Conclusions This strategy is accurate, repeatable, and efficient, and may be a useful tool for identification of disease-related N-glycosylation/glycoprotein changes.
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Affiliation(s)
| | | | | | | | | | | | - Haijun Zhou
- Department of Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
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27
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Chen CC, Su WC, Huang BY, Chen YJ, Tai HC, Obena RP. Interaction modes and approaches to glycopeptide and glycoprotein enrichment. Analyst 2014; 139:688-704. [DOI: 10.1039/c3an01813j] [Citation(s) in RCA: 102] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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28
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Abstract
Lectins are proteins that bind to sugars with varying specificities and several have been identified that show differential binding to structurally variable glycans attached to glycoproteins. Consequently, lectin affinity chromatography represents a valuable tool for glycoproteome studies, allowing enrichment of glycoproteins in samples prior to their identification by mass spectrometry (MS). From the perspective of plant scientists, lectin enrichment has proven useful for studies of the proteomes of the secretory pathways and cell wall, due to the high proportion of constituent proteins that are glycosylated. This chapter outlines a strategy to generate samples enriched with glycoproteins from bulk plant tissues prior to further characterization by MS, or other techniques.
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29
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Ma C, Zhao X, Han H, Tong W, Zhang Q, Qin P, Chang C, Peng B, Ying W, Qian X. N-linked glycoproteome profiling of human serum using tandem enrichment and multiple fraction concatenation. Electrophoresis 2013; 34:2440-50. [DOI: 10.1002/elps.201200662] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2012] [Revised: 03/05/2013] [Accepted: 03/08/2013] [Indexed: 11/08/2022]
Affiliation(s)
| | - Xinyuan Zhao
- State Key Laboratory of Proteomics; Beijing Proteome Research Center; Beijing Institute of Radiation Medicine; Beijing; P. R. China
| | - Huanhuan Han
- State Key Laboratory of Proteomics; Beijing Proteome Research Center; Beijing Institute of Radiation Medicine; Beijing; P. R. China
| | - Wei Tong
- State Key Laboratory of Proteomics; Beijing Proteome Research Center; Beijing Institute of Radiation Medicine; Beijing; P. R. China
| | - Qi Zhang
- State Key Laboratory of Proteomics; Beijing Proteome Research Center; Beijing Institute of Radiation Medicine; Beijing; P. R. China
| | - Peibin Qin
- State Key Laboratory of Proteomics; Beijing Proteome Research Center; Beijing Institute of Radiation Medicine; Beijing; P. R. China
| | - Cheng Chang
- State Key Laboratory of Proteomics; Beijing Proteome Research Center; Beijing Institute of Radiation Medicine; Beijing; P. R. China
| | - Bo Peng
- State Key Laboratory of Proteomics; Beijing Proteome Research Center; Beijing Institute of Radiation Medicine; Beijing; P. R. China
| | - Wantao Ying
- State Key Laboratory of Proteomics; Beijing Proteome Research Center; Beijing Institute of Radiation Medicine; Beijing; P. R. China
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30
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Černý M, Skalák J, Cerna H, Brzobohatý B. Advances in purification and separation of posttranslationally modified proteins. J Proteomics 2013; 92:2-27. [PMID: 23777897 DOI: 10.1016/j.jprot.2013.05.040] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2012] [Revised: 05/27/2013] [Accepted: 05/29/2013] [Indexed: 11/25/2022]
Abstract
Posttranslational modifications (PTMs) of proteins represent fascinating extensions of the dynamic complexity of living cells' proteomes. The results of enzymatically catalyzed or spontaneous chemical reactions, PTMs form a fourth tier in the gene - transcript - protein cascade, and contribute not only to proteins' biological functions, but also to challenges in their analysis. There have been tremendous advances in proteomics during the last decade. Identification and mapping of PTMs in proteins have improved dramatically, mainly due to constant increases in the sensitivity, speed, accuracy and resolution of mass spectrometry (MS). However, it is also becoming increasingly evident that simple gel-free shotgun MS profiling is unlikely to suffice for comprehensive detection and characterization of proteins and/or protein modifications present in low amounts. Here, we review current approaches for enriching and separating posttranslationally modified proteins, and their MS-independent detection. First, we discuss general approaches for proteome separation, fractionation and enrichment. We then consider the commonest forms of PTMs (phosphorylation, glycosylation and glycation, lipidation, methylation, acetylation, deamidation, ubiquitination and various redox modifications), and the best available methods for detecting and purifying proteins carrying these PTMs. This article is part of a Special Issue entitled: Posttranslational Protein modifications in biology and Medicine.
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Affiliation(s)
- Martin Černý
- Department of Molecular Biology and Radiobiology, Mendel University in Brno & CEITEC - Central European Institute of Technology, Mendel University in Brno, Zemědělská 1, CZ-613 00 Brno, Czech Republic.
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31
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Zhang EY, Cristofanilli M, Robertson F, Reuben JM, Mu Z, Beavis RC, Im H, Snyder M, Hofree M, Ideker T, Omenn GS, Fanayan S, Jeong SK, Paik YK, Zhang AF, Wu SL, Hancock WS. Genome wide proteomics of ERBB2 and EGFR and other oncogenic pathways in inflammatory breast cancer. J Proteome Res 2013; 12:2805-17. [PMID: 23647160 DOI: 10.1021/pr4001527] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
In this study we selected three breast cancer cell lines (SKBR3, SUM149 and SUM190) with different oncogene expression levels involved in ERBB2 and EGFR signaling pathways as a model system for the evaluation of selective integration of subsets of transcriptomic and proteomic data. We assessed the oncogene status with reads per kilobase per million mapped reads (RPKM) values for ERBB2 (14.4, 400, and 300 for SUM149, SUM190, and SKBR3, respectively) and for EGFR (60.1, not detected, and 1.4 for the same 3 cell lines). We then used RNA-Seq data to identify those oncogenes with significant transcript levels in these cell lines (total 31) and interrogated the corresponding proteomics data sets for proteins with significant interaction values with these oncogenes. The number of observed interactors for each oncogene showed a significant range, e.g., 4.2% (JAK1) to 27.3% (MYC). The percentage is measured as a fraction of the total protein interactions in a given data set vs total interactors for that oncogene in STRING (Search Tool for the Retrieval of Interacting Genes/Proteins, version 9.0) and I2D (Interologous Interaction Database, version 1.95). This approach allowed us to focus on 4 main oncogenes, ERBB2, EGFR, MYC, and GRB2, for pathway analysis. We used bioinformatics sites GeneGo, PathwayCommons and NCI receptor signaling networks to identify pathways that contained the four main oncogenes and had good coverage in the transcriptomic and proteomic data sets as well as a significant number of oncogene interactors. The four pathways identified were ERBB signaling, EGFR1 signaling, integrin outside-in signaling, and validated targets of C-MYC transcriptional activation. The greater dynamic range of the RNA-Seq values allowed the use of transcript ratios to correlate observed protein values with the relative levels of the ERBB2 and EGFR transcripts in each of the four pathways. This provided us with potential proteomic signatures for the SUM149 and 190 cell lines, growth factor receptor-bound protein 7 (GRB7), Crk-like protein (CRKL) and Catenin delta-1 (CTNND1) for ERBB signaling; caveolin 1 (CAV1), plectin (PLEC) for EGFR signaling; filamin A (FLNA) and actinin alpha1 (ACTN1) (associated with high levels of EGFR transcript) for integrin signalings; branched chain amino-acid transaminase 1 (BCAT1), carbamoyl-phosphate synthetase (CAD), nucleolin (NCL) (high levels of EGFR transcript); transferrin receptor (TFRC), metadherin (MTDH) (high levels of ERBB2 transcript) for MYC signaling; S100-A2 protein (S100A2), caveolin 1 (CAV1), Serpin B5 (SERPINB5), stratifin (SFN), PYD and CARD domain containing (PYCARD), and EPH receptor A2 (EPHA2) for PI3K signaling, p53 subpathway. Future studies of inflammatory breast cancer (IBC), from which the cell lines were derived, will be used to explore the significance of these observations.
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Affiliation(s)
- Emma Yue Zhang
- Barnett Institute and Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
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32
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Nie S, Lo A, Zhu J, Wu J, Ruffin MT, Lubman DM. Isobaric protein-level labeling strategy for serum glycoprotein quantification analysis by liquid chromatography-tandem mass spectrometry. Anal Chem 2013; 85:5353-7. [PMID: 23638883 DOI: 10.1021/ac400838s] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
While peptide-level labeling using isobaric tag reagents has been widely applied for quantitative proteomics experiments, there are comparatively few reports of protein-level labeling. Intact protein labeling could be broadly applied to quantification experiments utilizing protein-level separations or enrichment schemes. Here, protein-level isobaric labeling was explored as an alternative strategy to peptide-level labeling for serum glycoprotein quantification. Labeling and digestion conditions were optimized by comparing different organic solvents and enzymes. Digestions with Asp-N and trypsin were found highly complementary; combining the results enabled quantification of 30% more proteins than either enzyme alone. Three commercial reagents were compared for protein-level labeling. Protein identification rates were highest with iTRAQ 4-plex when compared to TMT 6-plex and iTRAQ 8-plex using higher-energy collisional dissociation on an Orbitrap Elite mass spectrometer. The compatibility of isobaric protein-level labeling with lectin-based glycoprotein enrichment was also investigated. More than 74% of lectin-bound labeled proteins were known glycoproteins, which was similar to results from unlabeled and peptide-level labeled serum samples. Finally, protein-level and peptide-level labeling strategies were compared for serum glycoprotein quantification. Isobaric protein-level labeling gave comparable identification levels and quantitative precision to peptide-level labeling.
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Affiliation(s)
- Song Nie
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA
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33
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Kim JY, Lee SY, Kim SK, Park SR, Kang D, Moon MH. Development of an Online Microbore Hollow Fiber Enzyme Reactor Coupled with Nanoflow Liquid Chromatography-Tandem Mass Spectrometry for Global Proteomics. Anal Chem 2013; 85:5506-13. [DOI: 10.1021/ac400625k] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Jin Yong Kim
- Department of Chemistry, Yonsei University, Seoul, 120-749, Korea
| | - Sun Young Lee
- Center for Bioanalysis, Division
of Metrology for Quality of Life, Korea Research Institute of Standards and Science, Daejeon, 305-340, Korea
| | - Sook-Kyung Kim
- Center for Bioanalysis, Division
of Metrology for Quality of Life, Korea Research Institute of Standards and Science, Daejeon, 305-340, Korea
| | - Sang Ryoul Park
- Center for Bioanalysis, Division
of Metrology for Quality of Life, Korea Research Institute of Standards and Science, Daejeon, 305-340, Korea
| | - Dukjin Kang
- Center for Bioanalysis, Division
of Metrology for Quality of Life, Korea Research Institute of Standards and Science, Daejeon, 305-340, Korea
| | - Myeong Hee Moon
- Department of Chemistry, Yonsei University, Seoul, 120-749, Korea
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34
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Combinatorial peptide libraries to overcome the classical affinity-enrichment methods in proteomics. Amino Acids 2013; 45:219-29. [DOI: 10.1007/s00726-013-1505-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2013] [Accepted: 04/20/2013] [Indexed: 12/11/2022]
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35
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Selvaraju S, El Rassi Z. Targeting human serum fucome by an integrated liquid-phase multicolumn platform operating in "cascade" to facilitate comparative mass spectrometric analysis of disease-free and breast cancer sera. Proteomics 2013; 13:1701-13. [PMID: 23533108 DOI: 10.1002/pmic.201200524] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2012] [Revised: 02/08/2013] [Accepted: 03/12/2013] [Indexed: 11/06/2022]
Abstract
A fully integrated platform was developed for capturing/fractionating human fucome from disease-free and breast cancer sera. It comprised a multicolumn operated by HPLC pumps and switching valves for the simultaneous depletion of high abundance proteins via affinity-based subtraction and the capturing of fucosylated glycoproteins via lectin affinity chromatography followed by the fractionation of the captured glycoproteins by reversed phase chromatography (RPC). Two lectin columns specific to fucose, namely Aleuria aurantia lectin (AAL) and Lotus tetragonolobus agglutinin (LTA) were utilized. The platform allowed the "cascading" of the serum sample from column-to-column in the liquid phase with no sample manipulation between the various steps. This guaranteed no sample loss and no propagation of experimental biases between the various columns. Finally, the fucome was fractionated by RPC yielding desalted fractions in volatile acetonitrile-rich mobile phase, which after vacuum evaporation were subjected to trypsinolysis for LC-MS/MS analysis. This permitted the identification of the differentially expressed proteins (DEP) in breast cancer serum yielding a broad panel of 35 DEP from the combined LTA and AAL captured proteins and a narrower panel of eight DEP that were commonly differentially expressed in both LTA and AAL fractions, which are considered as more representative of cancer altered fucome.
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Affiliation(s)
- Subhashini Selvaraju
- Department of Chemistry, Oklahoma State University, Stillwater, OK 74078-3071, USA
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36
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Alley WR, Mann BF, Novotny MV. High-sensitivity analytical approaches for the structural characterization of glycoproteins. Chem Rev 2013; 113:2668-732. [PMID: 23531120 PMCID: PMC3992972 DOI: 10.1021/cr3003714] [Citation(s) in RCA: 239] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- William R. Alley
- Department of Chemistry, Indiana University, Bloomington, Indiana, United States
- National Center for Glycomics and Glycoproteomics, Indiana University, Bloomington, Indiana, United States
| | - Benjamin F. Mann
- Department of Chemistry, Indiana University, Bloomington, Indiana, United States
- National Center for Glycomics and Glycoproteomics, Indiana University, Bloomington, Indiana, United States
| | - Milos V. Novotny
- Department of Chemistry, Indiana University, Bloomington, Indiana, United States
- National Center for Glycomics and Glycoproteomics, Indiana University, Bloomington, Indiana, United States
- Indiana University School of Medicine, Indiana University, Indianapolis, Indiana, United States
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37
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Lee LY, Hincapie M, Packer N, Baker MS, Hancock WS, Fanayan S. An optimized approach for enrichment of glycoproteins from cell culture lysates using native multi-lectin affinity chromatography. J Sep Sci 2013; 35:2445-52. [PMID: 22997032 DOI: 10.1002/jssc.201200049] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Lectins are capable of recognizing specific glycan structures and serve as invaluable tools for the separation of glycosylated proteins from nonglycosylated proteins in biological samples. We report on the optimization of native multi-lectin affinity chromatography, combining three lectins, namely, concanavalin A, jacalin, and wheat germ agglutinin for fractionation of cellular glycoproteins from MCF-7 breast cancer lysate. We evaluated several conditions for optimum recovery of total proteins and glycoproteins such as low pH and saccharide elution buffers, and the inclusion of detergents in binding and elution buffers. Optimum recovery was observed with overnight incubation of cell lysate with lectins at 4°C, and inclusion of detergent in binding and saccharide elution buffers. Total protein and bound recoveries were 80 and 9%, respectively. Importantly, we found that high saccharide strength elution buffers were not necessary to release bound glycoproteins. This study demonstrates that multi-lectin affinity chromatography can be extended to total cell lysate to investigate the cellular glycoproteome.
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Affiliation(s)
- Ling Y Lee
- Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, Australia
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38
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Novotny MV, Alley WR, Mann BF. Analytical glycobiology at high sensitivity: current approaches and directions. Glycoconj J 2013; 30:89-117. [PMID: 22945852 PMCID: PMC3586546 DOI: 10.1007/s10719-012-9444-8] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2012] [Revised: 06/29/2012] [Accepted: 08/14/2012] [Indexed: 12/30/2022]
Abstract
This review summarizes the analytical advances made during the last several years in the structural and quantitative determinations of glycoproteins in complex biological mixtures. The main analytical techniques used in the fields of glycomics and glycoproteomics involve different modes of mass spectrometry and their combinations with capillary separation methods such as microcolumn liquid chromatography and capillary electrophoresis. The need for high-sensitivity measurements have been emphasized in the oligosaccharide profiling used in the field of biomarker discovery through MALDI mass spectrometry. High-sensitivity profiling of both glycans and glycopeptides from biological fluids and tissue extracts has been aided significantly through lectin preconcentration and the uses of affinity chromatography.
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Affiliation(s)
- Milos V Novotny
- Department of Chemistry, Indiana University, Bloomington, IN, USA.
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39
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Partyka K, Maupin KA, Brand RE, Haab BB. Diverse monoclonal antibodies against the CA 19-9 antigen show variation in binding specificity with consequences for clinical interpretation. Proteomics 2012; 12:2212-20. [PMID: 22623153 DOI: 10.1002/pmic.201100676] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The CA 19-9 antigen is currently the best individual marker for the detection of pancreatic cancer. In order to optimize the CA 19-9 assay and to develop approaches to further improve cancer detection, it is important to understand the specificity differences between CA 19-9 antibodies and the consequential affect on biomarker performance. Antibody arrays enabled multiplexed comparisons between five different CA 19-9 antibodies used in the analysis of plasma samples from pancreatic cancer patients and controls. Major differences were observed between antibodies in their detection of particular patient samples. Glycan array analysis revealed that certain antibodies were highly specific for the canonical CA 19-9 epitope, sialyl-Lewis A, while others bound sialyl-Lewis A in addition to a related structure called sialyl-Lewis C and modification with Nue5Gc. In a much larger patient cohort, we confirmed the binding of sialyl-Lewis C glycan by one of the antibodies and showed that the broader specificity led to the detection of an increased number of cancer patients without increasing detection of pancreatitis patient samples. This work demonstrates that variation between antibody specificity for cancer-associated glycans can have significant implications for biomarker performance and highlights the value of characterizing and detecting the range of glycan structures that are elevated in cancer.
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40
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Pan S, Tamura Y, Chen R, May D, McIntosh MW, Brentnall TA. Large-scale quantitative glycoproteomics analysis of site-specific glycosylation occupancy. MOLECULAR BIOSYSTEMS 2012; 8:2850-6. [PMID: 22892896 PMCID: PMC3463725 DOI: 10.1039/c2mb25268f] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Disease-associated aberrant glycosylation may be protein specific and glycosylation site specific. Quantitative assessment of glycosylation changes at a site-specific molecular level may represent one of the initial steps for systematically revealing the glycosylation abnormalities associated with a disease or biological state. Comparative quantitative profiling of glycoproteome to provide accurate quantification of site-specific glycosylation occupancy has been a challenging task, requiring a concerted approach drawing from a variety of techniques. In this report, we present a quantitative glycoproteomics method that allows global scale identification and comparative quantification of glycosylation site occupancy using mass spectrometry. We further demonstrated this approach by quantitatively characterizing the N-glycoproteome of human pancreas.
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Affiliation(s)
- Sheng Pan
- Department of Medicine, University of Washington, Seattle, WA 98195, USA.
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41
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Fry SA, Sinclair J, Timms JF, Leathem AJ, Dwek MV. A targeted glycoproteomic approach identifies cadherin-5 as a novel biomarker of metastatic breast cancer. Cancer Lett 2012; 328:335-44. [PMID: 23079531 DOI: 10.1016/j.canlet.2012.10.011] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2012] [Revised: 10/02/2012] [Accepted: 10/09/2012] [Indexed: 02/06/2023]
Abstract
Aberrant glycosylation has long been recognised as a hallmark of cancer, and is increasingly being exploited in biomarker discovery studies. Helix pomatia agglutinin (HPA) is known to bind aberrant glycans associated with metastatic breast cancer, and was used here to isolate glycoproteins from pooled breast cancer serum samples of (i) patients with recurrent breast cancer and (ii) patients with no sign of recurrence 5years after diagnosis of their primary tumour. Pregnancy zone protein, the polymeric immunoglobulin receptor and cadherin-5 emerged as potential markers of metastasis following proteomic identification of HPA binding glycoproteins. ELISAs were developed to verify these findings, and to assess protein glycosylation, in individual patient sera. The cadherin-5 ELISA discriminated serum samples of patients with recurrent breast cancer from those with no sign of recurrence, and analysis of cadherin-5 glycosylation by HPA also showed a significant difference between the two sample groups. The targeted glycoproteomic and validatory approach developed here has shown that when taking into account both the protein levels and HPA binding, serum cadherin-5 discriminated patients with recurrent breast cancer from those with no sign of recurrence with 90% specificity.
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Affiliation(s)
- Simon A Fry
- Against Breast Cancer Research Unit, Dept. of Molecular and Applied Biosciences, University of Westminster, London W1W 6UW, UK.
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42
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Fanayan S, Hincapie M, Hancock WS. Using lectins to harvest the plasma/serum glycoproteome. Electrophoresis 2012; 33:1746-54. [PMID: 22740463 DOI: 10.1002/elps.201100567] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Aberrant protein glycosylation has been shown to be associated with disease processes and identification of disease-specific glycoproteins and glycosylation changes may serve as potential diagnostic and therapeutic biomarkers. However despite recent advances in proteomic-based biomarker discovery, this knowledge has not yet translated into an extensive mining of the glycoproteome for potential biomarkers. The major challenge for a comprehensive glycoproteomics analysis arises primarily from the enormous complexity and the large dynamic range in protein constituent in biological samples. Methods that specifically target glycoproteins are therefore necessary to facilitate their selective enrichment prior to their identification by MS-based analysis. The use of lectins, with selective affinities for specific carbohydrate epitopes, to enrich glycoprotein fractions coupled with modern MS, have greatly enhanced the identification of the glycoproteome. On account of their ability to specifically bind cell surface carbohydrates lectins have, during the recent past, found extensive applications in elucidation of the architecture and dynamics of cell surface carbohydrates, glycoconjugate purification, and structural characterization. Combined with complementary depletion and MS technologies, lectin affinity chromatography is becoming the most widely employed method of choice for biomarker discovery in cancer and other diseases.
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Affiliation(s)
- Susan Fanayan
- Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, Australia.
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43
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Selvaraju S, El Rassi Z. Tandem lectin affinity chromatography monolithic columns with surface immobilised concanavalin A, wheat germ agglutinin and Ricinus communis
agglutinin-I for capturing sub-glycoproteomics from breast cancer and disease-free human sera. J Sep Sci 2012; 35:1785-95. [DOI: 10.1002/jssc.201200230] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
| | - Ziad El Rassi
- Department of Chemistry; Oklahoma State University; Stillwater OK USA
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44
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Kim JY, Kim SK, Kang D, Moon MH. Dual lectin-based size sorting strategy to enrich targeted N-glycopeptides by asymmetrical flow field-flow fractionation: profiling lung cancer biomarkers. Anal Chem 2012; 84:5343-50. [PMID: 22616828 DOI: 10.1021/ac300772w] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
A dual lectin-based size sorting and simultaneous enrichment strategy for selectively isolating N-linked glycopeptides was developed using asymmetrical flow field-flow fractionation (AF4). AF4 is an elution-based method for separating biological macromolecules that has been utilized for the separation of lectin-glycopeptide complexes formed by mixing serum peptides with lectin cocktails according to the difference in diffusion coefficients. It has also been used for simultaneous depletion of nonglycosylated peptides. The dual lectin-based enrichment method was applied to proteolytic peptides from lung cancer serum samples with two lectins (WGA, GlcNAc-specific, and SNA, Sia-specific), and the whole mixture was separated by AF4. The lectin-glycopeptide complex fractions collected during AF4 separation were endoglycosidically digested with PNGase F. The resulting deamidated glycopeptides were analyzed by nanoflow liquid chromatography-electrospray ionization-tandem mass spectrometry (nLC-ESI-MS-MS) to semiquantitatively profile the N-linked glycopeptides from the sera of lung cancer patients and healthy controls. The AF4 enrichment strategy coupled with nLC-ESI-MS-MS identified 16/24 (up/down-regulated by at least 10-fold compared to normal sera) N-linked glycopeptides from a WGA complex fraction of lung cancer sera and 18/3 from a SNA fraction.
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Affiliation(s)
- Jin Yong Kim
- Department of Chemistry, Yonsei University, Seoul, 120-749, Korea
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45
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Recent advances in sialic acid-focused glycomics. J Proteomics 2012; 75:3098-112. [PMID: 22513219 DOI: 10.1016/j.jprot.2012.03.050] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2012] [Revised: 03/23/2012] [Accepted: 03/27/2012] [Indexed: 01/24/2023]
Abstract
Recent emergences of glycobiology, glycotechnology and glycomics have been clarifying enormous roles of carbohydrates in biological recognition systems. For example, cell surface carbohydrates existing as glycoconjugates (glycolipids, glycoproteins and proteoglycans) play crucial roles in cell-cell communication, cell proliferation and differentiation, tumor metastasis, inflammatory response or viral infection. In particular, sialic acids (SAs) existing as terminal residues in carbohydrate chains on cell surface are involved in signal recognition and adhesion to ligands, antibodies, enzymes and microbes. In addition, plasma free SAs and sialoglycans have shown great potential for disease biomarker discovery. Therefore, the development of efficient analytical methods for structural and functional studies of SAs and sialylglycans are very important and highly demanded. The problems of SAs and sialylglycans analysis are vanishingly small sample amount, complicated and unstable structures, and complex mixtures. Nevertheless, in the past decade, mass spectrometry in combination with chemical derivatization and modern separation methodologies has become a powerful and versatile technique for structural analysis of SAs and sialylglycans. This review summarizes these recent advances in glycomic studies on SAs and sialylglycans. Specially, derivatization and capturing of SAs and sialylglycans combined with mass spectrometry analysis are highlighted.
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46
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Pompach P, Chandler KB, Lan R, Edwards N, Goldman R. Semi-automated identification of N-Glycopeptides by hydrophilic interaction chromatography, nano-reverse-phase LC-MS/MS, and glycan database search. J Proteome Res 2012; 11:1728-40. [PMID: 22239659 DOI: 10.1021/pr201183w] [Citation(s) in RCA: 86] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Glycoproteins fulfill many indispensable biological functions, and changes in protein glycosylation have been observed in various diseases. Improved analytical methods are needed to allow a complete characterization of this complex and common post-translational modification. In this study, we present a workflow for the analysis of the microheterogeneity of N-glycoproteins that couples hydrophilic interaction and nanoreverse-phase C18 chromatography to tandem QTOF mass spectrometric analysis. A glycan database search program, GlycoPeptideSearch, was developed to match N-glycopeptide MS/MS spectra with the glycopeptides comprised of a glycan drawn from the GlycomeDB glycan structure database and a peptide from a user-specified set of potentially glycosylated peptides. Application of the workflow to human haptoglobin and hemopexin, two microheterogeneous N-glycoproteins, identified a total of 57 distinct site-specific glycoforms in the case of haptoglobin and 14 site-specific glycoforms of hemopexin. Using glycan oxonium ions and peptide-characteristic glycopeptide fragment ions and by collapsing topologically redundant glycans, the search software was able to make unique N-glycopeptide assignments for 51% of assigned spectra, with the remaining assignments primarily representing isobaric topological rearrangements. The optimized workflow, coupled with GlycoPeptideSearch, is expected to make high-throughput semiautomated glycopeptide identification feasible for a wide range of users.
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Affiliation(s)
- Petr Pompach
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University , 3970 Reservoir Road NW, Washington, DC 20057-1465, United States
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47
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A general approach for the purification and quantitative glycomic analysis of human plasma. Anal Bioanal Chem 2012; 402:2687-700. [DOI: 10.1007/s00216-012-5712-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2011] [Revised: 12/28/2011] [Accepted: 01/04/2012] [Indexed: 11/26/2022]
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48
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Affinity-based proteomic profiling: Problems and achievements. Proteomics 2012; 12:621-37. [DOI: 10.1002/pmic.201100373] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2011] [Revised: 09/01/2011] [Accepted: 09/13/2011] [Indexed: 11/07/2022]
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49
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Selvaraju S, Rassi ZE. Liquid-phase-based separation systems for depletion, prefractionation and enrichment of proteins in biological fluids and matrices for in-depth proteomics analysis--an update covering the period 2008-2011. Electrophoresis 2012; 33:74-88. [PMID: 22125262 PMCID: PMC3516880 DOI: 10.1002/elps.201100431] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2011] [Revised: 09/05/2011] [Accepted: 09/06/2011] [Indexed: 11/08/2022]
Abstract
This review article expands on the previous one (Jmeian, Y. and El Rassi, Z. Electrophoresis 2009, 30, 249-261) by reviewing pertinent literature in the period extending from early 2008 to the present. Similar to the previous review article, the present one is concerned with proteomic sample preparation (e.g. depletion of high-abundance proteins, reduction of the protein dynamic concentration range, enrichment of a particular subproteome), and the subsequent chromatographic and/or electrophoretic prefractionation prior to peptide separation and identification by LC-MS/MS. This review article differs from the first version published in Electrophoresis 2009, 30, 249-261 by expanding on capturing/enriching subglycoproteomics by lectin affinity chromatography. Ninety-eight articles published in the period extending from early 2008 to the present have been reviewed. By no means is this review article exhaustive: its aim is to give a concise report on the latest developments in the field.
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Affiliation(s)
| | - Ziad El Rassi
- Department of Chemistry, Oklahoma State University, Stillwater, OK 74078-3071
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Findeisen P, Neumaier M. Functional protease profiling for diagnosis of malignant disease. Proteomics Clin Appl 2011; 6:60-78. [PMID: 22213637 DOI: 10.1002/prca.201100058] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2011] [Revised: 09/27/2011] [Accepted: 10/19/2011] [Indexed: 12/24/2022]
Abstract
Clinical proteomic profiling by mass spectrometry (MS) aims at uncovering specific alterations within mass profiles of clinical specimens that are of diagnostic value for the detection and classification of various diseases including cancer. However, despite substantial progress in the field, the clinical proteomic profiling approaches have not matured into routine diagnostic applications so far. Their limitations are mainly related to high-abundance proteins and their complex processing by a multitude of endogenous proteases thus making rigorous standardization difficult. MS is biased towards the detection of low-molecular-weight peptides. Specifically, in serum specimens, the particular fragments of proteolytically degraded proteins are amenable to MS analysis. Proteases are known to be involved in tumour progression and tumour-specific proteases are released into the blood stream presumably as a result of invasive progression and metastasis. Thus, the determination of protease activity in clinical specimens from patients with malignant disease can offer diagnostic and also therapeutic options. The identification of specific substrates for tumour proteases in complex biological samples is challenging, but proteomic screens for proteases/substrate interactions are currently experiencing impressive progress. Such proteomic screens include peptide-based libraries, differential isotope labelling in combination with MS, quantitative degradomic analysis of proteolytically generated neo-N-termini, monitoring the degradation of exogenous reporter peptides with MS, and activity-based protein profiling. In the present article, we summarize and discuss the current status of proteomic techniques to identify tumour-specific protease-substrate interactions for functional protease profiling. Thereby, we focus on the potential diagnostic use of the respective approaches.
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Affiliation(s)
- Peter Findeisen
- Institute for Clinical Chemistry, Medical Faculty Mannheim of the University of Heidelberg, Heidelberg, Germany.
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