Tools for glycoproteomic analysis: size exclusion chromatography facilitates identification of tryptic glycopeptides with N-linked glycosylation sites

Proteomic techniques, such as HPLC coupled to tandem mass spectrometry (LC-MS/MS), have proved useful for the identification of specific glycosylation sites on glycoproteins (glycoproteomics). Glycosylation sites on glycopeptides produced by trypsinization of complex glycoprotein mixtures, however, are particularly difficult to identify both because a repertoire of glycans may be expressed at a particular glycosylation site, and because glycopeptides are usually present in relatively low abundance (2% to 5%) in peptide mixtures compared to nonglycosylated peptides. Previously reported methods to facilitate glycopeptide identification require either several pre-enrichment steps, involve complex derivatization procedures, or are restricted to a subset of all the glycan structures that are present in a glycoprotein mixture. Because the N-linked glycans expressed on tryptic glycopeptides contribute substantially to their mass, we demonstrate that size exclusion chromatography (SEC) provided a significant enrichment of N-linked glycopeptides relative to nonglycosylated peptides. The glycosylated peptides were then identified by LC-MS/MS after treatment with PNGase-F by the monoisotopic mass increase of 0.984 Da caused by the deglycosylation of the peptide. Analyses performed on human serum showed that this SEC glycopeptide isolation procedure results in at least a 3-fold increase in the total number of glycopeptides identified by LC-MS/MS, demonstrating that this simple, nonselective, rapid method is an effective tool to facilitate the identification of peptides with N-linked glycosylation sites.     

A new method for quantitative analysis of cell surface glycoproteome

As the altered glycosylation expressions of cell surface proteins are associated with many diseases, glycoproteomics approach has been widely applied to characterization of surface glycosylation alteration. In general, the abundances of proteolytic glycopeptides derived from corresponding glycoproteins can be measured to determine the abundances of glycoproteins. However, this quantification strategy cannot distinguish whether the changes are results from changes of protein abundance or changes in glycosite occupancy. For the accurate and specific quantification of the cell surface glycosylation profile, we proposed a modified cell surface‐capturing strategy where the glycopeptides were submitted to LC‐MS/MS analysis directly for identification of glycoproteins and the non‐glycopeptides were isotopically labelled for quantification of glycoproteins. This strategy was applied to comparatively analyze cell surface glycoproteins of two human cell lines, i.e. Chang Liver and HepG2 cells. Totally 341 glycoproteins were identified with 82.4% specificity for cell membrane proteins and 33 glycoproteins were quantified with significant expression change between the two cell lines. The differential expressions of two selected proteins (EMMPRIN and BCAM) were validated by Western blotting. This method enables specific and accurate analysis of the cell surface glycoproteins and may have broad application in the field of biomarker and drug target discovery.     

Elucidation of glycoprotein structures by unspecific proteolysis and direct nanoESI mass spectrometric analysis of ZIC-HILIC-enriched glycopeptides

Protein glycosylation was explored by direct nanoESI MS and MS/MS analysis of ZIC-HILIC-enriched proteolytic glycopeptides without further separation or purification. In a previous publication, we demonstrated that a direct MS-based analysis of proteolytic glycopeptides is feasible for a number of proteins (Henning , S. J. Mass Spectrom. 2007 , 42 , 1415 - 21). This method has now been refined for two aspects: (1) separation of glycopeptides by use of ZIC-HILIC SPE and (2) the use of unspecific proteases like thermolysin, elastase, or a trypsin/chymotrypsin mixture leading per se to a mass-based separation, that is, small nonglycosylated peptides and almost exclusively glycopeptides at higher m/z values. Furthermore, the glycopeptides produced by the above proteases in general contain short peptide backbones thus improving-probably due to their higher hydrophilicity--the ZIC-HILIC-based separation. The combination of unspecific proteolysis, glycopeptide separation, and their direct MS analysis was successfully accomplished for probing glycoproteins carrying high-mannose type (ribonuclease B), neutral (asialofetuin), and acidic (haptoglobin and α1-acid glycoprotein) complex type glycans as well as for glycopeptides derived from glycoprotein mixtures and, finally, for exploring the glycosylation of a human IgG preparation. Our results show that the presented method is a fast, facile, and inexpensive procedure for the elucidation of protein N-glycosylation.     

Targeted mass spectrometric approach for biomarker discovery and validation with nonglycosylated tryptic peptides from N-linked glycoproteins in human plasma

A simple mass spectrometric approach for the discovery and validation of biomarkers in human plasma was developed by targeting nonglycosylated tryptic peptides adjacent to glycosylation sites in an N-linked glycoprotein, one of the most important biomarkers for early detection, prognoses, and disease therapies. The discovery and validation of novel biomarkers requires complex sample pretreatment steps, such as depletion of highly abundant proteins, enrichment of desired proteins, or the development of new antibodies. The current study exploited the steric hindrance of glycan units in N-linked glycoproteins, which significantly affects the efficiency of proteolytic digestion if an enzymatically active amino acid is adjacent to the N-linked glycosylation site. Proteolytic digestion then results in quantitatively different peptide products in accordance with the degree of glycosylation. The effect of glycan steric hindrance on tryptic digestion was first demonstrated using alpha-1-acid glycoprotein (AGP) as a model compound versus deglycosylated alpha-1-acid glycoprotein. Second, nonglycosylated tryptic peptide biomarkers, which generally show much higher sensitivity in mass spectrometric analyses than their glycosylated counterparts, were quantified in human hepatocellular carcinoma plasma using a label-free method with no need for N-linked glycoprotein enrichment. Finally, the method was validated using a multiple reaction monitoring analysis, demonstrating that the newly discovered nonglycosylated tryptic peptide targets were present at different levels in normal and hepatocellular carcinoma plasmas. The area under the receiver operating characteristic curve generated through analyses of nonglycosylated tryptic peptide from vitronectin precursor protein was 0.978, the highest observed in a group of patients with hepatocellular carcinoma. This work provides a targeted means of discovering and validating nonglycosylated tryptic peptides as biomarkers in human plasma, without the need for complex enrichment processes or expensive antibody preparations.     

Differential analysis of N-glycoproteome between hepatocellular carcinoma and normal human liver tissues by combination of multiple protease digestion and solid phase based labeling

Background

Dysregulation of glycoproteins is closely related with many diseases. Quantitative proteomics methods are powerful tools for the detection of glycoprotein alterations. However, in almost all quantitative glycoproteomics studies, trypsin is used as the only protease to digest proteins. This conventional method is unable to quantify N-glycosites in very short or long tryptic peptides and so comprehensive glycoproteomics analysis cannot be achieved.

Methods

In this study, a comprehensive analysis of the difference of N-glycoproteome between hepatocellular carcinoma (HCC) and normal human liver tissues was performed by an integrated workflow combining the multiple protease digestion and solid phase based labeling. The quantified N-glycoproteins were analyzed by GoMiner to obtain a comparative view of cellular component, biological process and molecular function.

Results/conclusions

An integrated workflow was developed which enabled the processes of glycoprotein coupling, protease digestion and stable isotope labeling to be performed in one reaction vessel. This workflow was firstly evaluated by analyzing two aliquots of the same protein extract from normal human liver tissue. It was demonstrated that the multiple protease digestion improved the glycoproteome coverage and the quantification accuracy. This workflow was further applied to the differential analysis of N-glycoproteome of normal human liver tissue and that with hepatocellular carcinoma. A total of 2,329 N-glycosites on 1,052 N-glycoproteins were quantified. Among them, 858 N-glycosites were quantified from more than one digestion strategy with over 99% confidence and 1,104 N-glycosites were quantified from only one digestion strategy with over 95% confidence. By comparing the GoMiner results of the N-glycoproteins with and without significant changes, the percentage of membrane and secreted proteins and their featured biological processes were found to be significant different revealing that protein glycosylation may play the vital role in the development of HCC.     

Assessment of lectin and HILIC based enrichment protocols for characterization of serum glycoproteins by mass spectrometry

Protein glycosylation is a common post-translational modification that is involved in many biological processes, including cell adhesion, protein-protein and receptor-ligand interactions. The glycoproteome constitutes a source for identification of disease biomarkers since altered protein glycosylation profiles are associated with certain human ailments. Glycoprotein analysis by mass spectrometry of biological samples, such as blood serum, is hampered by sample complexity and the low concentration of the potentially informative glycopeptides and -proteins. We assessed the utility of lectin-based and HILIC-based affinity enrichment techniques, alone or in combination, for preparation of glycoproteins and glycopeptides for subsequent analysis by MALDI and ESI mass spectrometry. The methods were successfully applied to human serum samples and a total of 86 N-glycosylation sites in 45 proteins were identified using a mixture of three immobilized lectins for consecutive glycoprotein enrichment and glycopeptide enrichment. The combination of lectin affinity enrichment of glycoproteins and subsequent HILIC enrichment of tryptic glycopeptides identified 81 N-glycosylation sites in 44 proteins. A total of 63 glycosylation sites in 38 proteins were identified by both methods, demonstrating distinct differences and complementarity. Serial application of custom-made microcolumns of mixed, immobilized lectins proved efficient for recovery and analysis of glycopeptides from serum samples of breast cancer patients and healthy individuals to assess glycosylation site frequencies.     

Identification and quantification of N-linked glycoproteins using hydrazide chemistry,stable isotope labeling and mass spectrometry

Quantitative proteome profiling using stable isotope protein tagging and automated tandem mass spectrometry (MS/MS) is an emerging technology with great potential for the functional analysis of biological systems and for the detection of clinical diagnostic or prognostic marker proteins. Owing to the enormous complexity of proteomes, their comprehensive analysis is an as-yet-unresolved technical challenge. However, biologically or clinically important information can be obtained if specific, information-rich protein classes, or sub-proteomes, are isolated and analyzed. Glycosylation is the most common post-translational modification. Here we describe a method for the selective isolation, identification and quantification of peptides that contain N-linked carbohydrates. It is based on the conjugation of glycoproteins to a solid support using hydrazide chemistry, stable isotope labeling of glycopeptides and the specific release of formerly N-linked glycosylated peptides via peptide- N-glycosidase F (PNGase F). The recovered peptides are then identified and quantified by MS/MS. We applied the approach to the analysis of plasma membrane proteins and proteins contained in human blood serum.     

Quantitative analysis of human cerebrospinal fluid proteins using a combination of cysteine tagging and amine-reactive isobaric labeling

Highly complex and dynamic protein mixtures are hardly comprehensively resolved by direct shotgun proteomic analysis. As many proteins of biological interest are of low abundance, numerous analytical methodologies have been developed to reduce sample complexity and go deeper into proteomes. The present work describes an analytical strategy to perform cysteinyl-peptide subset enrichment and relative quantification through successive cysteine and amine-isobaric tagging. A cysteine-reactive covalent capture tag (C3T) allowed derivatization of cysteines and specific isolation on a covalent capture (CC) resin. The 6-plex amine-reactive tandem mass tags (TMT) served for relative quantification of the targeted peptides. The strategy was first evaluated on a model protein mixture with increasing concentrations to assess the specificity of the enrichment and the quantitative performances of the workflow. It was then applied to human cerebrospinal fluid (CSF) from post-mortem and ante-mortem samples. These studies confirmed the specificity of the C3T and the CC technique to cysteine-containing peptides. The model protein mixture analysis showed high precision and accuracy of the quantification with coefficients of variation and mean absolute errors of less than 10% on average. The CSF experiments demonstrated the potential of the strategy to study complex biological samples and identify differential brain-related proteins. In addition, the quantification data were highly correlated with a classical TMT experiment (i.e., without C3T cysteine-tagging and enrichment steps). Altogether, these results legitimate the use of this quantitative C3T strategy to enrich and relatively quantify cysteine-containing peptides in complex mixtures.     

Novel comprehensive approach for accessible biomarker identification and absolute quantification from precious human tissues

The identification of specific biomarkers obtained directly from human pathological lesions remains a major challenge, because the amount of tissue available is often very limited. We have developed a novel, comprehensive, and efficient method permitting the identification and absolute quantification of potentially accessible proteins in such precious samples. This protein subclass comprises cell membrane associated and extracellular proteins, which are reachable by systemically deliverable substances and hence especially suitable for diagnosis and targeted therapy applications. To isolate such proteins, we exploited the ability of chemically modified biotin to label ex vivo accessible proteins and the fact that most of these proteins are glycosylated. This approach consists of three successive steps involving first the linkage of potentially accessible proteins to biotin molecules followed by their purification. The remaining proteins are then subjected to glycopeptide isolation. Finally, the analysis of the nonglycosylated peptides and their involvement in an in silico method increased the confident identification of glycoproteins. The value of the technique was demonstrated on human breast cancer tissue samples originating from 5 individuals. Altogether, the method delivered quantitative data on more than 400 potentially accessible proteins (per sample and replicate). In comparison to biotinylation or glycoprotein analysis alone, the sequential method significantly increased the number (≥30% and ≥50% respectively) of potentially therapeutically and diagnostically valuable proteins. The sequential method led to the identification of 93 differentially modulated proteins, among which several were not reported to be associated with the breast cancer. One of these novel potential biomarkers was CD276, a cell membrane-associated glycoprotein. The immunohistochemistry analysis showed that CD276 is significantly differentially expressed in a series of breast cancer lesions. Due to the fact that our technology is applicable to any type of tissue biopsy, it bears the ability to accelerate the discovery of new relevant biomarkers in a broad spectrum of pathologies.     

Shotgun glycopeptide capture approach coupled with mass spectrometry for comprehensive glycoproteomics

We present a robust and general shotgun glycoproteomics approach to comprehensively profile glycoproteins in complex biological mixtures. In this approach, glycopeptides derived from glycoproteins are enriched by selective capture onto a solid support using hydrazide chemistry followed by enzymatic release of the peptides and subsequent analysis by tandem mass spectrometry. The approach was validated using standard protein mixtures that resulted in a close to 100% capture efficiency. Our capture approach was then applied to microsomal fractions of the cisplatin-resistant ovarian cancer cell line IGROV-1/CP. With a Protein Prophet probability value greater than 0.9, we identified a total of 302 proteins with an average protein identification rate of 136 +/- 19 (n = 4) in a single linear quadrupole ion trap (LTQ) mass spectrometer nano-LC-MS experiment and a selectivity of 91 +/- 1.6% (n = 4) for the N-linked glycoconsensus sequence. Our method has several advantages. 1) Digestion of proteins initially into peptides improves the solubility of large membrane proteins and exposes all of the glycosylation sites to ensure equal accessibility to capture reagents. 2) Capturing glycosylated peptides can effectively reduce sample complexity and at the same time increase the confidence of MS-based protein identifications (more potential peptide identifications per protein). 3) The utility of sodium sulfite as a quencher in our capture approach to replace the solid phase extraction step in an earlier glycoprotein chemical capture approach for removing excess sodium periodate allows the overall capture procedure to be completed in a single vessel. This improvement minimizes sample loss, increases sensitivity, and makes our protocol amenable for high throughput implementation, a feature that is essential for biomarker identification and validation of a large number of clinical samples. 4) The approach is demonstrated here on the analysis of N-linked glycopeptides; however, it can be applied equally well to O-glycoprotein analysis.     

Quantitative N-linked glycoproteomics of myocardial ischemia and reperfusion injury reveals early remodeling in the extracellular environment

Extracellular and cell surface proteins are generally modified with N-linked glycans and glycopeptide enrichment is an attractive tool to analyze these proteins. The role of N-linked glycoproteins in cardiovascular disease, particularly ischemia and reperfusion injury, is poorly understood. Observation of glycopeptides by mass spectrometry is challenging due to the presence of abundant, nonglycosylated analytes, and robust methods for purification are essential. We employed digestion with multiple proteases to increase glycoproteome coverage coupled with parallel glycopeptide enrichments using hydrazide capture, titanium dioxide, and hydrophilic interaction liquid chromatography with and without an ion-pairing agent. Glycosylated peptides were treated with PNGase F and analyzed by liquid chromatography-MS/MS. This allowed the identification of 1556 nonredundant N-linked glycosylation sites, representing 972 protein groups from ex vivo rat left ventricular myocardium. False positive "glycosylations" were observed on 44 peptides containing a deamidated Asn-Asp in the N-linked sequon by analysis of samples without PNGase F treatment. We used quantitation via isobaric tags for relative and absolute quantitation (iTRAQ) and validation with dimethyl labeling to analyze changes in glycoproteins from tissue following prolonged ischemia and reperfusion (40 mins ischemia and 20 mins reperfusion) indicative of myocardial infarction. The iTRAQ approach revealed 80 of 437 glycopeptides with altered abundance, while dimethyl labeling confirmed 46 of these and revealed an additional 62 significant changes. These were mainly from predicted extracellular matrix and basement membrane proteins that are implicated in cardiac remodeling. Analysis of N-glycans released from myocardial proteins suggest that the observed changes were not due to significant alterations in N-glycan structures. Altered proteins included the collagen-laminin-integrin complexes and collagen assembly enzymes, cadherins, mast cell proteases, proliferation-associated secreted protein acidic and rich in cysteine, and microfibril-associated proteins. The data suggest that cardiac remodeling is initiated earlier during reperfusion than previously hypothesized.     

Surface glycoproteomic analysis of hepatocellular carcinoma cells by affinity enrichment and mass spectrometric identification

Cell surface glycoproteins are one of the most frequently observed phenomena correlated with malignant growth. Hepatocellular carcinoma (HCC) is one of the most malignant tumors in the world. The majority of hepatocellular carcinoma cell surface proteins are modified by glycosylation in the process of tumor invasion and metastasis. Therefore, characterization of cell surface glycoproteins can provide important information for diagnosis and treatment of liver cancer, and also represent a promising source of potential diagnostic biomarkers and therapeutic targets for hepatocellular carcinoma. However, cell surface glycoproteins of HCC have been seldom identified by proteomics approaches because of their hydrophobic nature, poor solubility, and low abundance. The recently developed cell surface-capturing (CSC) technique was an approach specifically targeted at membrane glycoproteins involving the affinity capture of membrane glycoproteins using glycan biotinylation labeling on intact cell surfaces. To characterize the cell surface glycoproteome and probe the mechanism of tumor invasion and metastasis of HCC, we have modified and evaluated the cell surface-capturing strategy, and applied it for surface glycoproteomic analysis of hepatocellular carcinoma cells. In total, 119 glycosylation sites on 116 unique glycopeptides were identified, corresponding to 79 different protein species. Of these, 65 (54.6?%) new predicted glycosylation sites were identified that had not previously been determined experimentally. Among the identified glycoproteins, 82?% were classified as membrane proteins by a database search, 68?% had transmembrane domains (TMDs), and 24?% were predicted to contain 2-13 TMDs. Moreover, a total of 26 CD antigens with 50 glycopeptides were detected in the membrane glycoproteins of hepatocellular carcinoma cells, comprising 43?% of the total glycopeptides identified. Many of these identified glycoproteins are associated with cancer such as CD44, CD147 and EGFR. This is a systematic characterization of cell surface glycoproteins of HCC. The membrane glycoproteins identified in this study provide very useful information for probing the mechanism of liver cancer invasion and metastasis.     

An improved protocol for N-glycosylation analysis of gel-separated sialylated glycoproteins by MALDI-TOF/TOF

Different glycoforms of some proteins have been identified as differential spots for certain diseases in 2-DE, indicating disease-related glycosylation changes. It is routine to determine the site-specific glycosylation of nonsialylated N-glycoproteins from a single gel spot, but some obstacles still exist in analyzing sialylated glycoproteins due to the lability and higher detection limit of acid glycans in MALDI-TOF/TOF analysis. Thus, we present an improved protocol here. Tryptic glycopeptides were separated and subjected to MALDI-TOF/TOF analysis, resulting in the identification of site-specific glycosylation of high-intensity glycopeptides. Sequential deglycosylation and desialylation were used to improve the identification of glycosylation sites and desialylated glycans. The site-specific glycosylation of large glycopeptides and low-intensity glycopeptides was deduced based on the masses of glycopeptides, deglycosylated peptides and desialylated glycans. By applying it to 2-DE separated human serum, the difference of N-glycosylation was successfully determined for α1-antitrypsin between different gel spots.     

Targeted,Site-specific quantitation of N- and O-glycopeptides using <Superscript>18</Superscript>O–labeling and product ion based mass spectrometry

The site-specific quantitation of N- and O-glycosylation is vital to understanding the function(s) of different glycans expressed at a given site of a protein under physiological and disease conditions. Most commonly used precursor ion intensity based quantification method is less accurate and other labeled methods are expensive and require enrichment of glycopeptides. Here, we used glycopeptide product (y and Y0) ions and ¹⁸O–labeling of C-terminal carboxyl group as a strategy to obtain quantitative information about fold-change and relative abundance of most of the glycoforms attached to the glycopeptides. As a proof of concept, the accuracy and robustness of this targeted, relative quantification LC-MS method was demonstrated using Rituximab. Furthermore, the N-glycopeptide quantification results were compared with a biosimilar of Rituximab and validated with quantitative data obtained from 2-AB-UHPLC-FL method. We further demonstrated the intensity fold-change and relative abundance of 46 unique N- and O-glycopeptides and aglycopeptides from innovator and biosimilar samples of Etanercept using both the normal-MS and product ion based quantitation. The results showed a very similar site-specific expression of N- and O-glycopeptides between the samples but with subtle differences. Interestingly, we have also been able to quantify macro-heterogeneity of all N- and O-glycopetides of Etanercept. In addition to applications in biotherapeutics, the developed method can also be used for site-specific quantitation of N- and O-glycopeptides and aglycopeptides of glycoproteins with known glycosylation pattern.     

二维电泳和质谱技术鉴定肝癌血清差异表达的N-连接糖蛋白

缺乏有效的早期诊断方法是导致肝细胞癌(hepatocellular carcinoma, HCC)预后极差的主要原因之一.蛋白质异常糖基化与恶性肿瘤细胞侵袭、转移等生物学过程关系密切,人体内至少有50%的蛋白质发生了糖基化修饰.本实验采用IgY12去除血清高丰度蛋白、多植物凝集素亲和层析技术分别从20例肝癌和年龄、性别匹配的20例非癌慢性肝病患者血清中纯化N 连接糖蛋白、二维电泳分析差异表达的蛋白质斑点,质谱检测、生物信息学等技术鉴定了18个差异表达的糖蛋白和/或其异质体（12种高表达和6种低表达）.ExPASy数据库比对结果表明,本实验鉴定的糖蛋白质分子含有至少1个已报道的N 糖基化位点.这些差异表达的糖蛋白属于急性期反应蛋白,分别具有蛋白酶抑制、生物转运、凝血和纤溶等功能,表明肝癌的发生发展过程中机体产生的急性期反应物可能是潜在的肝癌血清标志物.     

Label-free relative quantification method for low-abundance glycoproteins in human serum by micrOTOF-Q

In this study, a label-free relative quantification strategy was developed for quantifying low-abundance glycoproteins in human serum. It included three steps: (1) immunodepletion of 12 high-abundance proteins, (2) enrichment of low-abundance glycoproteins by multi-lectin column, (3) relative quantification of them between different samples by micrOTOF-Q. We also evaluated the specificity and efficiency of immunodepletion, the accuracy of protein quantification and the possible influence of immunodepletion, glycoprotein enrichment, trypsin digestion and peptide ionization on quantification. In conclusion, the relative quantification method can be effectively applied to the screening of low-abundance biomarkers.     

Carbohydrate-binding specificity of pokeweed mitogens

The carbohydrate-binding specificity of two pokeweed (Phytolacca americana) mitogens (Pa-1 and Pa-2) was investigated by means of hemagglutination inhibition assays and the quantitative inhibition of the binding of 125I-labeled lectins to human erythrocytes using various oligosaccharides, glycopeptides and glycoproteins as hapten inhibitors. Among the inhibitors employed in this study, chitin oligosaccharides and the glycopeptides and glycoproteins which bear sugar chains of the type found in serum glycoproteins, particularly PAS-1 glycoprotein and band-3 glycoprotein of human erythrocyte membranes, exerted strong inhibitory activity. The inhibitory constants of band-3 glycoprotein toward the binding of both mitogens to human erythrocytes were found to be very close to the association constants of the mitogens to the cells. Furthermore, the results of competitive binding studies between Pa-1 and Pa-2 indicated that these mitogens share a common oligosaccharide chains on the erythrocyte surface. To isolate the membrane receptors for these two mitogens, the solubilized membranes of human erythrocytes were subjected to affinity chromatographies using Pa-1-Sepharose 4B and Pa-2-Sepharose 4B as specific adsorbents. In both cases of these two specific adsorbents, band-3 glycoprotein was found to bind most strongly. These results suggest that two pokeweed mitogens have essentially the same carbohydrate-binding specificity and they bind primarily to the sugar chains of band-3 glycoprotein, possibly to the core structure of the sugar chains containing a di-N-acetylchitobiose moiety, on human erythrocytes.     

Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics

ABSTRACT: BACKGROUND: In approximately 80% of patients, ovarian cancer is diagnosed when the patient is already in the advanced stages of the disease. CA125 is currently used as the marker for ovarian cancer; however, it lacks specificity and sensitivity for detecting early stage disease. There is a critical unmet need for sensitive and specific routine screening tests for early diagnosis that can reduce ovarian cancer lethality by reliably detecting the disease at its earliest and treatable stages. Results: In this study, we investigated the N-linked sialylated glycopeptides in serum samples from healthy and ovarian cancer patients using Lectin-directed Tandem Labeling (LTL) and iTRAQ quantitative proteomics methods. We identified 45 N-linked sialylated glycopeptides containing 46 glycosylation sites. Among those, ten sialylated glycopeptides were significantly up-regulated in ovarian cancer patients' serum samples. LC-MS/MS analysis of the non-glycosylated peptides from the same samples, western blot data using lectin enriched glycoproteins of various ovarian cancer type samples, and PNGase F (+/-) treatment confirmed the sialylation changes in the ovarian cancer samples. Conclusion: Herein, we demonstrated that several proteins are aberrantly sialylated in N-linked glycopeptides in ovarian cancer and detection of glycopeptides with abnormal sialylation changes may have the potential to serve as biomarkers for ovarian cancer.     

Facile synthesis of magnetic poly(styrene‐co‐4‐vinylbenzene‐boronic acid) microspheres for selective enrichment of glycopeptides

In this work, the composites of magnetic Fe₃O₄@SiO₂@poly (styrene‐co‐4‐vinylbenzene‐boronic acid) microspheres with well‐defined core–shell–shell structure were facilely synthesized and applied to selectively enrich glycopeptides. Due to the relatively large amount of vinyl groups introduced by 3‐methacryloxy‐propyl‐trimethoxysilane on the core‐shell surface, the poly(styrene‐co‐4‐vinylbenzeneboronic acid) (PSV) was coated with high efficiency, resulting in a large amount of boronic acid on the outermost polymer shell of the Fe₃O₄@SiO₂@PSV microspheres, which is of great importance to improve the enrichment efficiency for glycopeptides. The obtained Fe₃O₄@SiO₂@PSV microspheres were successfully applied to the enrichment of glycopeptides with strong specificity and high selectivity, evaluated by capturing glycopeptides from tryptic digestion of model glycoprotein HRP diluted to 0.05 ng/μL (1.25 × 10^?13 mol, 100 μL), tryptic digest of HRP and nonglycosylated BSA up to the ratio of 1:120 w/w and the real complex sample human serum with 103 unique N‐glycosylation peptides of 46 different glycoproteins enriched.     

Fucosylation of N-glycans regulates the secretion of hepatic glycoproteins into bile ducts

Fucosylated alpha-fetoprotein (AFP) is a highly specific tumor marker for hepatocellular carcinoma (HCC). However, the molecular mechanism by which serum level of fucosylated AFP increases in patients with HCC remains largely unknown. Here, we report that the fucosylation of glycoproteins could be a possible signal for secretion into bile ducts in the liver. We compared oligosaccharide structures on glycoproteins in human bile with those in serum by several types of lectin blot analyses. Enhanced binding of biliary glycoproteins to lectins that recognize a fucose residue was observed over a wide range of molecular weights compared with serum glycoproteins. A structural analysis of oligosaccharides by two-dimensional mapping high performance liquid chromatography and matrix-assisted laser desorption ionization time-of flight mass spectrometry confirmed the increases in the fucosylation of biliary glycoproteins. Purification followed by structural analysis on alpha1-antitrypsin, alpha1-acid glycoprotein and haptoglobin, which are synthesized in the liver, showed higher fucosylation in bile than in serum. To find direct evidence for fucosylation and sorting signal into bile ducts, we used alpha1-6 fucosyltransferase (Fut8)-deficient mice because fucosylation of glycoproteins produced in mouse liver was mainly an alpha1-6 linkage. Interestingly, the levels of alpha1-antitrypsin and alpha1-acid glycoprotein were quite low in bile of Fut8-deficient mice as compared with wild-type mice. An immunohistochemical study showed dramatic changes in the localization of these glycoproteins in the liver of Fut8-deficient mice. Taken together, these results suggest that fucosylation is a possible signal for the secretion of glycoproteins into bile ducts in the liver. A disruption in this system might involve an increase in fucosylated AFP in the serum of patients with HCC.