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All human cells are covered by glycans, the carbohydrate units of glycoproteins, glycolipids, and proteoglycans. Most glycans are localized to cell surfaces and participate in events essential for cell viability and function. Glycosylation evolves during carcinogenesis, and therefore carcinoma-related glycan structures are potential cancer biomarkers. Colorectal cancer is one of the world''s three most common cancers, and its incidence is rising. Novel biomarkers are essential to identify patients for targeted and individualized therapy. We compared the N-glycan profiles of five rectal adenomas and 18 rectal carcinomas of different stages by matrix-assisted laser desorption-ionization time-of-flight mass spectrometry. Paraffin-embedded tumor samples were deparaffinized, and glycans were enzymatically released and purified. We found differences in glycosylation between adenomas and carcinomas: monoantennary, sialylated, pauci-mannose, and small high-mannose N-glycan structures were more common in carcinomas than in adenomas. We also found differences between stage I–II and stage III carcinomas. Based on these findings, we selected two glycan structures: pauci-mannose and sialyl Lewis a, for immunohistochemical analysis of their tissue expression in 220 colorectal cancer patients. In colorectal cancer, poor prognosis correlated with elevated expression of sialyl Lewis a, and in advanced colorectal cancer, poor prognosis correlated with elevated expression of pauci-mannose. In conclusion, by mass spectrometry we found several carcinoma related glycans, and we demonstrate a method of transforming these results into immunohistochemistry, a readily applicable method to study biomarker expression in patient samples.Glycans, the carbohydrate units of glycoproteins, glycolipids, and proteoglycans, that cover all human cells. Around 1% of the human genome participates in the biosynthesis of glycans(1). This biosynthesis is the most complex post-translational modification of proteins, and the great variability in glycan structures contains a tremendous ability to fine-tune the chemical and biological properties of glycoproteins. The glycosylation process occurs most abundantly in the Golgi apparatus and the endoplasmic reticulum, but also occurs in the cytoplasm and nucleus (2). Most glycoconjugates are localized to cell surfaces, where glycans participate in events essential for cell viability and function, such as cell adhesion, motility, and intracellular signaling (2). Changes in these functions are key steps seen when normal cells transform to malignant ones, and these are also reflected in changes of a cell''s glycan profile, observed in many cancers (3, 4). Specific structural changes in glycans may serve as cancer biomarkers (5, 6), and changes in glycosylation profiles are related to aggressive behavior in tumor cells (79).Cancer-associated asparagine-linked glycan (N-glycan) structures may play specific roles in supporting tumor progression; growth (10, 11), invasion (12, 13), and angiogenesis (14). Changes in the N-glycan profile emerge in numerous cancers, including lung (15, 16), breast (17), and colorectal cancer (CRC)1 (16, 18). Balog et al. (18) comparing the N-glycomic profile of CRC tissue to adjacent normal mucosa, reported differences in specific glycan structures. Moreover, serum N-glycosylation profile from patients with CRC differ from those of healthy controls (19).Colorectal cancer is the third most common cause of cancer-related death worldwide and its incidence is rising; 40% of CRCs are of rectal origin. Roughly 40% of patients have localized disease (stage I–II; Dukes A–B), another 40% loco regional disease (stage III; Dukes C), and 20% metastasized disease (stage IV; Dukes D) (20). Although stage at diagnosis is the most important factor determining prognosis, clinical outcome, and response to adjuvant treatment can markedly vary within each stage. Adjuvant therapy routinely goes to stage III patients, but the benefit of adjuvant treatment for stage II patients is unclear. Of stage II patients, 80% are cured by radical surgery alone. To identify patients who will benefit from postoperative treatment, we need novel biomarkers. The glycan profile of the tumor tissue could provide new biomarkers for diagnosis and prognosis of cancer.In this study, we characterized the N-glycomic profiles of rectal adenomas and carcinomas by MALDI-TOF mass spectrometric (MS) profiling of asparagine-linked glycans. Our aim was to identify differences between adenomas and carcinomas, and also between cancers of different stages. Based on glycan profiling, we also chose, for immunohistochemical expression studies of a series of 220 CRC patients, two glycan markers: sialyl Lewis a and pauci-mannose.  相似文献   

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The N-linked glycosylation of the constant fragment (Fc) of immunoglobulin G has been shown to change during pathological and physiological events and to strongly influence antibody inflammatory properties. In contrast, little is known about Fab-linked N-glycosylation, carried by ∼20% of IgG. Here we present a high-throughput workflow to analyze Fab and Fc glycosylation of polyclonal IgG purified from 5 μl of serum. We were able to detect and quantify 37 different N-glycans by means of MALDI-TOF-MS analysis in reflectron positive mode using a novel linkage-specific derivatization of sialic acid. This method was applied to 174 samples of a pregnancy cohort to reveal Fab glycosylation features and their change with pregnancy. Data analysis revealed marked differences between Fab and Fc glycosylation, especially in the levels of galactosylation and sialylation, incidence of bisecting GlcNAc, and presence of high mannose structures, which were all higher in the Fab portion than the Fc, whereas Fc showed higher levels of fucosylation. Additionally, we observed several changes during pregnancy and after delivery. Fab N-glycan sialylation was increased and bisection was decreased relative to postpartum time points, and nearly complete galactosylation of Fab glycans was observed throughout. Fc glycosylation changes were similar to results described before, with increased galactosylation and sialylation and decreased bisection during pregnancy. We expect that the parallel analysis of IgG Fab and Fc, as set up in this paper, will be important for unraveling roles of these glycans in (auto)immunity, which may be mediated via recognition by human lectins or modulation of antigen binding.Immunoglobulins are key players of the human immune system. Immunoglobulin G (IgG)1 is the most abundant representative of this group, with serum concentrations of ∼10 mg/ml (1). It consists of two heavy chains (γ-chains) made up of three constant regions (CH1, CH2, and CH3) and one variable region (VH). Attached to each heavy chain is a light chain (λ or κ). Based on chemical and biological properties, different regions can be distinguished in the IgG molecule: two antigen binding fragments (obtained as F(ab′)2 by IdeS treatment; herein referred to as Fab) and a crystallizable fragment (Fc). The structure of IgG is schematically presented in Fig. 1.Open in a separate windowFig. 1.Schematic representation of IgG with the heavy γ chains (dark blue), light chains (lighter blue), and N-glycans. In the top right-hand corner of the Fc and Fab areas, the percentages of galactosylation, sialylation, bisection, and fucosylation are depicted. The inset represents the stable heptasaccharide core with possible extensions.IgGs are glycoproteins, and N-glycans are present at Asn297 of the CH2 domain. These glycans consist of a constant heptasaccharide core that is often modified by a core fucose and is in part decorated with bisecting N-acetylglucosamine (GlcNAc), galactose(s), and sialic acid(s) (Fig. 1) (1). The Fc glycans have been extensively studied, and glycosylation changes have been found to be associated with disease (e.g. rheumatoid arthritis) (2, 3) and aging (46). Several immune regulatory properties have been demonstrated for IgG Fc glycans (713). For example, Fc-linked glycans influence the IgG effector function by altering the three-dimensional structure of the protein, and thereby the binding to Fcγ-receptors (12, 13). Additionally, glycan–glycan interactions occur between IgG and Fcγ-receptor-IIIa (8), with the presence of a core fucose decreasing this affinity by ∼2 orders of magnitude (7).The Fab portion consists of the heavy chain CH1 and VH regions combined with a light chain and exhibits the antigen binding sites formed by the variable and hypervariable regions of those two chains. N-glycans are known to occur on 15% to 25% of the IgG Fab portions (1, 14, 15). The Fab N-glycans can be involved in immunomodulation, because they influence the affinity and avidity of antibodies for antigens (1619), as well as antibody half-life (17, 20). The glycans of the Fab have been described as biantennary complex-type structures that are, in contrast to Fc glycans, highly sialylated (2123). Additionally, high-mannose-type structures have been said to be located on the Fab portion (23).Pregnancy is known to be associated with overall changes in IgG glycosylation. Indeed, a marked increase of galactosylation and sialylation has been observed in IgG Fc glycosylation during pregnancy (3, 24, 25). In addition, lectin binding studies suggest changes in Fab glycosylation of IgG during pregnancy (26), which may be caused by increased levels of progesterone (27). Changes in glycosylation during pregnancy could be one of the mechanisms that contribute to acceptance of the fetal allograft by the maternal immune system (26).Our knowledge on the Fab glycosylation of IgGs from peripheral blood is scarce, which is in part due to difficulty detecting the glycans in a Fab-region-specific manner. Because of the polyclonal nature of serum IgG, one may expect Fab glycans to be attached to a large variety of sequence motifs arising from somatic rearrangements and mutations (28), making the analysis of Fab glycopeptides from polyclonal serum IgG very demanding, if feasible at all. Therefore, study of the Fab glycosylation of polyclonal serum IgG has mainly been pursued at the level of released glycans (14, 23). Difficulties lie in the purification of IgG and the separation of Fc and Fab glycosylation, which is essential for the assignment of the glycans to either part of the IgG molecule.Here we present a high-throughput method for studying Fab glycosylation at the level of released glycans obtained from serum-derived polyclonal IgG. Using state-of-the-art affinity capturing beads and enzymes, we were able to obtain Fab and Fc separately, which, after glycan release, resulted in Fc- and Fab-specific glycan pools. The released glycans were subjected to a novel derivatization protocol resulting in linkage-specific modification of sialic acids, followed by HILIC sample purification and MALDI-TOF-MS. Finally, because marked changes in glycosylation during pregnancy have been described, the technique was applied to consecutive serum samples from a cohort of pregnant women. This approach was chosen to determine the usefulness of this technique in a clinical setting. The method proved to be able to demonstrate pregnancy-related changes in glycosylation of the Fab portion, in addition to the already known changes in Fc glycosylation (3, 24, 25).  相似文献   

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The opportunistic human pathogen Acinetobacter baumannii is a concern to health care systems worldwide because of its persistence in clinical settings and the growing frequency of multiple drug resistant infections. To combat this threat, it is necessary to understand factors associated with disease and environmental persistence of A. baumannii. Recently, it was shown that a single biosynthetic pathway was responsible for the generation of capsule polysaccharide and O-linked protein glycosylation. Because of the requirement of these carbohydrates for virulence and the non-template driven nature of glycan biogenesis we investigated the composition, diversity, and properties of the Acinetobacter glycoproteome. Utilizing global and targeted mass spectrometry methods, we examined 15 strains and found extensive glycan diversity in the O-linked glycoproteome of Acinetobacter. Comparison of the 26 glycoproteins identified revealed that different A. baumannii strains target similar protein substrates, both in characteristics of the sites of O-glycosylation and protein identity. Surprisingly, glycan micro-heterogeneity was also observed within nearly all isolates examined demonstrating glycan heterogeneity is a widespread phenomena in Acinetobacter O-linked glycosylation. By comparing the 11 main glycoforms and over 20 alternative glycoforms characterized within the 15 strains, trends within the glycan utilized for O-linked glycosylation could be observed. These trends reveal Acinetobacter O-linked glycosylation favors short (three to five residue) glycans with limited branching containing negatively charged sugars such as GlcNAc3NAcA4OAc or legionaminic/pseudaminic acid derivatives. These observations suggest that although highly diverse, the capsule/O-linked glycan biosynthetic pathways generate glycans with similar characteristics across all A. baumannii.Acinetobacter baumannii is an emerging opportunistic pathogen of increasing significance to health care institutions worldwide (13). The growing number of identified multiple drug resistant (MDR)1 strains (24), the ability of isolates to rapidly acquire resistance (3, 4), and the propensity of this agent to survive harsh environmental conditions (5) account for the increasing number of outbreaks in intensive care, burn, or high dependence health care units since the 1970s (25). The burden on the global health care system of MDR A. baumannii is further exacerbated by standard infection control measures often being insufficient to quell the spread of A. baumannii to high risk individuals and generally failing to remove A. baumannii from health care institutions (5). Because of these concerns, there is an urgent need to identify strategies to control A. baumannii as well as understand the mechanisms that enable its persistence in health care environments.Surface glycans have been identified as key virulence factors related to persistence and virulence within the clinical setting (68). Acinetobacter surface carbohydrates were first identified and studied in A. venetianus strain RAG-1, leading to the identification of a gene locus required for synthesis and export of the surface carbohydrates (9, 10). These carbohydrate synthesis loci are variable yet ubiquitous in A. baumannii (11, 12). Comparison of 12 known capsule structures from A. baumannii with the sequences of their carbohydrate synthesis loci has provided strong evidence that these loci are responsible for capsule synthesis with as many as 77 distinct serotypes identified by molecular serotyping (11). Because of the non-template driven nature of glycan synthesis, the identification and characterization of the glycans themselves are required to confirm the true diversity. This diversity has widespread implications for Acinetobacter biology as the resulting carbohydrate structures are not solely used for capsule biosynthesis but can be incorporated and utilized by other ubiquitous systems, such as O-linked protein glycosylation (13, 14).Although originally thought to be restricted to species such as Campylobacter jejuni (15, 16) and Neisseria meningitidis (17), bacterial protein glycosylation is now recognized as a common phenomenon within numerous pathogens and commensal bacteria (18, 19). Unlike eukaryotic glycosylation where robust and high-throughput technologies now exist to enrich (2022) and characterize both the glycan and peptide component of glycopeptides (2325), the diversity (glycan composition and linkage) within bacterial glycosylation systems makes few technologies broadly applicable to all bacterial glycoproteins. Because of this challenge a deeper understanding of the glycan diversity and substrates of glycosylation has been largely unachievable for the majority of known bacterial glycosylation systems. The recent implementation of selective glycopeptide enrichment methods (26, 27) and the use of multiple fragmentation approaches (28, 29) has facilitated identification of an increasing number of glycosylation substrates independent of prior knowledge of the glycan structure (3033). These developments have facilitated the undertaking of comparative glycosylation studies, revealing glycosylation is widespread in diverse genera and far more diverse then initially thought. For example, Nothaft et al. were able to show N-linked glycosylation was widespread in the Campylobacter genus and that two broad groupings of the N-glycans existed (34).During the initial characterization of A. baumannii O-linked glycosylation the use of selective enrichment of glycopeptides followed by mass spectrometry analysis with multiple fragmentation technologies was found to be an effective means to identify multiple glycosylated substrates in the strain ATCC 17978 (14). Interestingly in this strain, the glycan utilized for protein modification was identical to a single subunit of the capsule (13) and the loss of either protein glycosylation or glycan synthesis lead to decreases in biofilm formation and virulence (13, 14). Because of the diversity in the capsule carbohydrate synthesis loci and the ubiquitous distribution of the PglL O-oligosaccharyltransferase required for protein glycosylation, we hypothesized that the glycan variability might be also extended to O-linked glycosylation. This diversity, although common in surface carbohydrates such as the lipopolysaccharide of numerous Gram-negative pathogens (35), has only recently been observed within bacterial proteins glycosylation system that are typically conserved within species (36) and loosely across genus (34, 37).In this study, we explored the diversity within the O-linked protein glycosylation systems of Acinetobacter species. Our analysis complements the recent in silico studies of A. baumannii showing extensive glycan diversity exists in the carbohydrate synthesis loci (11, 12). Employing global strategies for the analysis of glycosylation, we experimentally demonstrate that the variation in O-glycan structure extends beyond the genetic diversity predicted by the carbohydrate loci alone and targets proteins of similar properties and identity. Using this knowledge, we developed a targeted approach for the detection of protein glycosylation, enabling streamlined analysis of glycosylation within a range of genetic backgrounds. We determined that; O-linked glycosylation is widespread in clinically relevant Acinetobacter species; inter- and intra-strain heterogeneity exist within glycan structures; glycan diversity, although extensive results in the generation of glycans with similar properties and that the utilization of a single glycan for capsule and O-linked glycosylation is a general feature of A. baumannii but may not be a general characteristic of all Acinetobacter species such as A. baylyi.  相似文献   

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Glycosylation is one of the most common and important protein modifications in biological systems. Many glycoproteins naturally occur at low abundances, which makes comprehensive analysis extremely difficult. Additionally, glycans are highly heterogeneous, which further complicates analysis in complex samples. Lectin enrichment has been commonly used, but each lectin is inherently specific to one or several carbohydrates, and thus no single or collection of lectin(s) can bind to all glycans. Here we have employed a boronic acid-based chemical method to universally enrich glycopeptides. The reaction between boronic acids and sugars has been extensively investigated, and it is well known that the interaction between boronic acid and diols is one of the strongest reversible covalent bond interactions in an aqueous environment. This strong covalent interaction provides a great opportunity to catch glycopeptides and glycoproteins by boronic acid, whereas the reversible property allows their release without side effects. More importantly, the boronic acid-diol recognition is universal, which provides great capability and potential for comprehensively mapping glycosylation sites in complex biological samples. By combining boronic acid enrichment with PNGase F treatment in heavy-oxygen water and MS, we have identified 816 N-glycosylation sites in 332 yeast proteins, among which 675 sites were well-localized with greater than 99% confidence. The results demonstrated that the boronic acid-based chemical method can effectively enrich glycopeptides for comprehensive analysis of protein glycosylation. A general trend seen within the large data set was that there were fewer glycosylation sites toward the C termini of proteins. Of the 332 glycoproteins identified in yeast, 194 were membrane proteins. Many proteins get glycosylated in the high-mannose N-glycan biosynthetic and GPI anchor biosynthetic pathways. Compared with lectin enrichment, the current method is more cost-efficient, generic, and effective. This method can be extensively applied to different complex samples for the comprehensive analysis of protein glycosylation.Glycosylation is an extremely important protein modification that frequently regulates protein folding, trafficking, and stability. It is also involved in a wide range of cellular events (1) such as immune response (2, 3), cell proliferation (4), cell-cell interactions (5), and signal transduction (6). Aberrant protein glycosylation is believed to have a direct correlation with the development of several diseases, including diabetes, infectious diseases, and cancer (711). Secretory proteins frequently get glycosylated, including those in body fluids such as blood, saliva, and urine (12, 13). Samples containing these proteins can be easily obtained and used for diagnostic and therapeutic purposes. Several glycoproteins have previously been identified as biomarkers, including Her2/Neu in breast cancer (14), prostate-specific antigen (PSA) in prostate cancer (15), and CA125 in ovarian cancer (16, 17), which highlights the clinical importance of identifying glycoproteins as indicators or biomarkers of diseases. Therefore, effective methods for systematic analysis of protein glycosylation are essential to understand the mechanisms of glycobiology, identify drug targets and discover biomarkers.Approximately half of mammalian cell proteins are estimated to be glycosylated at any given time (18). There have been many reports regarding identification of protein glycosylation sites and elucidation of glycan structures (1930). Glycan structure analysis can lead to potential therapeutic and diagnostic applications (31, 32), but it is also critical to identify which proteins are glycosylated as well as the sites at which the modification occurs. Despite progress in recent years, the large-scale analysis of protein glycosylation sites using MS-based proteomics methods is still a challenge. Without an effective enrichment method, the low abundance of glycoproteins prohibits the identification of the majority of sites using the popular intensity-dependent MS sequence method.About a decade ago, a very beautiful and elegant method based on hydrazide chemistry was developed to enrich glycopeptides. Hydrazide conjugated beads reacted with aldehydes formed from the oxidation of cis-diols in glycans (33). This method has been extensively applied to many different types of biological samples (3441). Besides the hydrazide-based enrichment method, lectins have also been frequently used to enrich glycopeptides or glycoproteins before MS analysis (28, 29, 4246). However, there are many different types of lectins, and each is specific to certain glycans (47, 48). Therefore, no combination of lectins can bind to all glycosylated peptides or proteins, which prevents comprehensive analysis of protein glycosylation. Because of the complexity of biological samples, effective enrichment methods are critical for the comprehensive analysis of protein glycosylation before MS analysis.One common feature of all glycoproteins and glycopeptides is that they contain multiple hydroxyl groups in their glycans. From a chemistry point of view, this can be exploited to effectively enrich them. Ideally, chemical enrichment probes must have both strong and specific interactions with multiple hydroxyl groups. The reaction between boronic acids and 1,2- or 1,3-cis-diols in sugars has been extensively studied (4952) and applied for the small-scale analysis of glycoproteins (5355). Furthermore, boronate affinity chromatography has been employed for the analysis of nonenzymatically glycated peptides (56, 57). Boronic acid-based chemical enrichment methods are expected to have great potential for global analysis of glycopeptides when combined with modern MS-based proteomics techniques. However, the method has not yet been used for the comprehensive analysis of protein N-glycosylation in complex biological samples (58).Yeast is an excellent model biological system that has been extensively used in a wide range of experiments. Last year, two papers reported the large-scale analysis of protein N-glycosylation in yeast (59, 60). In one study, a new MS-based method was developed based on N-glycopeptide mass envelopes with a pattern via metabolic incorporation of a defined mixture of N-acetylglucosamine isotopologs into N-glycans. Peptides with the recoded envelopes were specifically targeted for fragmentation, facilitating high confidence site mapping (59). Using this method, 133 N-glycosylation sites were confidently identified in 58 yeast proteins. When combined with an effective enrichment method, this MS-based analysis will provide a more complete coverage of the N-glycoproteome. The other work combined lectin enrichment with digestion by two enzymes (Glu_c and trypsin) to increase the peptide coverage, and 516 well-localized N-glycosylation sites were identified in 214 yeast proteins by MS (60).Here we have comprehensively identified protein N-glycosylation sites in yeast by combining a boronic acid-based chemical enrichment method with MS-based proteomics techniques. Magnetic beads conjugated with boronic acid were systematically optimized to selectively enrich glycosylated peptides from yeast whole cell lysates. The enriched peptides were subsequently treated with Peptide-N4-(N-acetyl-beta-glucosaminyl)asparagine amidase (PNGase F)1 in heavy-oxygen water. Finally, peptides were analyzed by an on-line LC-MS system. Over 800 protein N-glycosylation sites were identified in the yeast proteome, which clearly demonstrates that the boronic acid-based chemical method is an effective enrichment method for large-scale analysis of protein glycosylation by MS.  相似文献   

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Changes to the glycan structures of proteins secreted by cancer cells are known to be functionally important and to have potential diagnostic value. However, an exploration of the population variation and prevalence of glycan alterations on specific proteins has been lacking because of limitations in conventional glycobiology methods. Here we report the use of a previously developed antibody-lectin sandwich array method to characterize both the protein and glycan levels of specific mucins and carcinoembryonic antigen-related proteins captured from the sera of pancreatic cancer patients (n = 23) and control subjects (n = 23). The MUC16 protein was frequently elevated in the cancer patients (65% of the patients) but showed no glycan alterations, whereas the MUC1 and MUC5AC proteins were less frequently elevated (30 and 35%, respectively) and showed highly prevalent (up to 65%) and distinct glycan alterations. The most frequent glycan elevations involved the Thomsen-Friedenreich antigen, fucose, and Lewis antigens. An unexpected increase in the exposure of α-linked mannose also was observed on MUC1 and MUC5ac, indicating possible N-glycan modifications. Because glycan alterations occurred independently from the protein levels, improved identification of the cancer samples was achieved using glycan measurements on specific proteins relative to using the core protein measurements. The most significant elevation was the cancer antigen 19-9 on MUC1, occurring in 19 of 23 (87%) of the cancer patients and one of 23 (4%) of the control subjects. This work gives insight into the prevalence and protein carriers of glycan alterations in pancreatic cancer and points to the potential of using glycan measurements on specific proteins for highly effective biomarkers.Alterations to the glycan structures on extracellular proteins are a common feature of many types of epithelial cancer such as pancreatic, colon, and breast cancers (1, 2). Cancer-associated glycan structures are thought to be functionally involved in many of the phenotypes characterizing cancer cells, including the ability to migrate, avoid apoptosis, evade immune destruction, and enter and exit the vasculature (3). Because proteins bearing cancer-associated glycans can be shed by tumor cells into the circulation, blood-based diagnostic tests using glycan detection may be possible. A potential advantage of using glycans for diagnostics is that carbohydrate modifications of particular proteins may be altered more frequently or more specifically in certain disease states than their underlying core protein concentrations. However, to evaluate and use such a strategy, the prevalence with which various structures appear and the specific proteins on which they appear must be better characterized.Previous studies of cancer-associated glycosylation using enzymatic, chromatographic, and mass spectrometry methods have been very effective for providing detailed information about the glycan structures produced by cancer cells, but because of the requirements for large amounts of material and the time involved to analyze each sample, these studies generally used either cell culture material or a small number of patient samples. Therefore, while many cancer-associated glycans have been identified, much remains unknown about these glycans, including how often they appear, how closely they are associated with particular disease states, and the distribution of protein carriers on which they appear.Affinity-based methods, using reagents such as lectins or glycan-binding antibodies, are a valuable complement to the above mentioned methods. Using antibodies or lectins that bind specific glycans, one may reproducibly measure the levels of those glycans over multiple samples. Although affinity-based glycosylation studies do not provide the structural detail provided by mass spectrometry and enzymatic methods, they can provide information about the biological variation of a particular motif.Lectins and glycan-binding antibodies have been used extensively in immunohistochemistry, for example in studies to examine the tissue distribution in pancreatic tumors of certain blood group carbohydrates (4, 5). Lectins have been valuable in immunoaffinity electrophoresis and blotting methods to identify cancer-associated glycan variants on major serum proteins such as α-fetoprotein (6), haptoglobin (7, 8), α1-acid glycoprotein (9), and α1-antitrypsin (10). Antibodies raised against particular glycan groups, such as the Thomsen-Friedenreich antigens (11), the Lewis blood group structures (12), and underglycosylated MUC11 (13) also have been used to study the roles of glycans in cancer. As a means of quantifying glycans on specific proteins, lectins have been used in the capture or detection of proteins in microtiter plates (14).We previously demonstrated an antibody-lectin sandwich array method (15) that is a valuable complement to the above methods and is ideal for profiling the prevalence of multiple glycans on multiple proteins. Glycan levels can be probed directly from biological samples, and many samples or detection conditions can be processed efficiently in a low volume, high throughput format (16). This method is complementary to lectin microarrays (1719), which are useful for measuring glycan levels on individual, purified proteins; glycan microarrays (20, 21), which are used to measure the recognition of carbohydrate structures by various glycan-binding reagents; and glycoprotein arrays (22) for examining glycosylation on proteins isolated from biological samples.We applied this method to the study of glycan alterations on proteins in the circulation of pancreatic cancer patients. We sought to define the prevalence of various glycan alterations on particular protein carriers and to investigate whether those measurements have advantages for cancer diagnostics relative to measurements of core proteins. We designed antibody microarrays to target members of the mucin and carcinoembryonic antigen-related cell adhesion molecule (CEACAM) families because some of those proteins are known to carry cancer-associated glycans. Mucins are extracellular, long-chain glycoproteins involved in the control and protection of epithelial surfaces, and the expression and glycosylation of several mucins are often altered and functionally involved in cancer (23, 24). The CEACAM family of proteins also is functionally involved in cancer, and they carry cancer-associated glycans (25, 26), but the glycans on CEACAMs are less well studied than those on mucins. By measuring both glycan levels and the core protein levels of several of these molecules, we were able to investigate whether alterations to glycans can appear at a higher rate than changes to core protein abundances. The ability to test the presence of glycan structures on multiple protein carriers in multiple samples was critical to investigating these questions.  相似文献   

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Various cancers such as colorectal cancer (CRC) are associated with alterations in protein glycosylation. CRC cell lines are frequently used to study these (glyco)biological changes and their mechanisms. However, differences between CRC cell lines with regard to their glycosylation have hitherto been largely neglected. Here, we comprehensively characterized the N-glycan profiles of 25 different CRC cell lines, derived from primary tumors and metastatic sites, in order to investigate their potential as glycobiological tumor model systems and to reveal glycans associated with cell line phenotypes. We applied an optimized, high-throughput membrane-based enzymatic glycan release for small sample amounts. Released glycans were derivatized to stabilize and differentiate between α2,3- and α2,6-linked N-acetylneuraminic acids, followed by N-glycosylation analysis by MALDI-TOF(/TOF)-MS. Our results showed pronounced differences between the N-glycosylation patterns of CRC cell lines. CRC cell line profiles differed from tissue-derived N-glycan profiles with regard to their high-mannose N-glycan content but showed a large overlap for complex type N-glycans, supporting their use as a glycobiological cancer model system. Importantly, we could show that the high-mannose N-glycans did not only occur as intracellular precursors but were also present at the cell surface. The obtained CRC cell line N-glycan features were not clearly correlated with mRNA expression levels of glycosyltransferases, demonstrating the usefulness of performing the structural analysis of glycans. Finally, correlation of CRC cell line glycosylation features with cancer cell markers and phenotypes revealed an association between highly fucosylated glycans and CDX1 and/or villin mRNA expression that both correlate with cell differentiation. Together, our findings provide new insights into CRC-associated glycan changes and setting the basis for more in-depth experiments on glycan function and regulation.Colorectal cancer (CRC)1 is a very prevalent and heterogeneous pathology with highly variable disease progression and clinical outcome among patients. It is the third most common cancer in men and the second most common in women (1) with a highly stage-specific patient survival (2). Treatments are often curative for patients with local disease stages (stage I-II), whereas a 5-year survival of only 13% is observed in patients with distant metastasis (stage IV) (2). As CRC is often asymptomatic in the first years, unfortunately, only 40% of the patients are diagnosed at stage I-II, thus pointing to the urgent need of sensitive diagnostic tools for early detection and consequently effective, curative treatment (3). In this context, understanding the complex mechanisms of CRC is an overriding condition for the development of new, more efficient means of detection, treatment, and prognosis of the disease.Altered glycosylation is a hallmark of cancer (4) and is known to occur with cancer progression (4, 5) as glycans are involved in many cancer-associated events such as adhesion, invasion, and cell signaling (6). As a result of altered glycan structures, cellular processes can be affected due to a change of interactions with glycan-binding proteins (79). Several CRC tissue-associated changes in N-glycans, O-glycans, and glycosphingolipid glycans have been reported and recently reviewed (7). For instance, N-glycans extracted from colorectal tumor tissues are characterized by an increase of sulfated glycans, (truncated) high-mannose-type glycans, and glycans containing sialylated Lewis type epitopes, while showing a decrease of bisection as compared with glycans from nontumor colorectal tissue of the same individuals (10). In accordance, elevated expression of sialyl Lewis A (NeuAcα2,3Galβ1,3[Fucα1,4]GlcNAc-R; NeuAc = N-acetylneuraminic acid, Gal = galactose, Fuc = fucose, GlcNAc = N-acetylglucosamine, R = rest) and pauci-mannosidic N-glycans (truncated high-mannose-type, Man1–4GlcNAc1–4GlcNAc; Man = mannose) was recently found to be correlated with poor prognosis in (advanced) colon carcinomas and N-glycomic profiling was successfully applied to distinguish colorectal adenomas from carcinomas (11).Due to limitations in accessibility of tumor materials and possibilities of in vivo studies on a large scale, cancer cell lines represent a relevant alternative and are widely used as model systems for studying the molecular mechanisms associated with cancer outcome and progression. Since the early 1960s, colorectal cancer cell lines have been established with HT29, LoVo, LS-180, LS-174T, and Co115 representing the first continuous cell lines derived from colon tumors and xenografts (1214). Major benefits of cancer cell lines are their continuous availability, their fast growth, and relatively easy handling, making them suitable also for high-throughput screenings (15) and a large range of experimental possibilities (16). Of note, advantages and limitations of cell lines have been recently reviewed (15).In order to select suitable in vitro models, the characterization of molecular features and their comparison to tumor tissues are needed. A detailed Cancer Cell Line Encyclopedia was recently established containing a genomic dataset for 947 human cancer cell lines, from which 58 are colorectal cancer lineages (17). The Cancer Cell Line Encyclopedia includes data collections on genomic characterization, point mutation frequencies, DNA copy number, and mRNA expression levels. Comparison of these features between cell lines and primary tumors showed a high correlation in most cancer types, especially for colorectal cancer, suggesting that cell lines do represent tumor tissues quite reasonably at least on the genetic level. However, the number of publications characterizing cancer cell lines at a molecular level is far behind the number of articles using cancer cell lines as model systems (18), and only few studies have been conducted on whether in vitro cultured cell lines can serve as suitable models for human tumors (1922). Furthermore, cell lines are well characterized genetically, but they are largely understudied with regard to their glycosylation profiles.Here, we developed and optimized a new analytical method for the more sensitive and higher throughput N-glycome profiling of cells. This method is based on the release of N-glycans in a 96-well plate format from a PVDF-membrane (23) starting from a low number of cells (250,000 cells), the chemical derivatization of released N-glycans enabling the stabilization and discrimination of α2,3- and α2,6-linked N-acetylneuraminic acids (24), followed by registration of the N-glycans by MALDI-TOF(/TOF)-MS. The method was applied to characterize the N-glycome of 25 different colorectal cell lines in a fast and robust manner, including biological and technical replicates for all the cell lines. We obtained the comprehensive N-glycan profiles of 21 cell lines derived from primary tumors, two from lymph node metastases, one from a lung metastasis, and one from ascites fluid to assess their potential as glycobiological tumor model systems. Cancer cell line glycosylation features were then correlated with cancer cell markers and phenotypes as well as glycosyltransferase expressions. This study provides new insights into colon-cancer-associated glycan changes and sets a basis for studies into the functions of N-glycans in CRC with cell lines as model systems.  相似文献   

10.
Disruption of Golgi α-mannosidase II activity can result in type II congenital dyserythropoietic anemia and induce lupus-like autoimmunity in mice. Here, we isolated a mutant human embryonic kidney (HEK) 293T cell line called Lec36, which displays sensitivity to ricin that lies between the parental HEK 293T cells, in which the secreted and membrane-expressed proteins are dominated by complex-type glycosylation, and 293S Lec1 cells, which produce only oligomannose-type N-linked glycans. Stem cell marker 19A was transiently expressed in the HEK 293T Lec36 cells and in parental HEK 293T cells with and without the potent Golgi α-mannosidase II inhibitor, swainsonine. Negative ion nano-electrospray ionization mass spectra of the 19A N-linked glycans from HEK 293T Lec36 and swainsonine-treated HEK 293T cells were qualitatively indistinguishable and, as shown by collision-induced dissociation spectra, were dominated by hybrid-type glycosylation. Nucleotide sequencing revealed mutations in each allele of MAN2A1, the gene encoding Golgi α-mannosidase II: a point mutation that mapped to the active site was found in one allele, and an in-frame deletion of 12 nucleotides was found in the other allele. Expression of the wild type but not the mutant MAN2A1 alleles in Lec36 cells restored processing of the 19A reporter glycoprotein to complex-type glycosylation. The Lec36 cell line will be useful for expressing therapeutic glycoproteins with hybrid-type glycans and as a sensitive host for detecting mutations in human MAN2A1 causing type II congenital dyserythropoietic anemia.Mammalian N-linked glycosylation is characterized by significant chemical heterogeneity generated by an array of competing glycosidases and glycosyltransferases (1). The structural analysis of recombinant glycoproteins, such as human erythropoietin (2, 3), has illustrated the capacity of mammalian expression systems for generating diverse N-linked glycans.Heterogeneity develops during egress of a glycoprotein through the secretory system (1). N-linked glycosylation is initiated in the rough endoplasmic reticulum (ER)4 by the co-translational transfer of Glc3Man9GlcNAc2 to the asparagine residues of the glycosylation sequon. In the absence of protein misfolding, hydrolysis by ER α-mannosidase I plus α-glucosidase I and II results in the transfer of glycoproteins dominated by the D1,D3 isomer of Man8GlcNAc2 glycans to the Golgi apparatus (4). Further processing by Golgi α-mannosidases IA–C generates Man5GlcNAc2 (57), the principle substrate for UDP-N-acetyl-d-glucosamine:α-3-d-mannoside β1,2-N-acetylglucosaminyltransferase I (GnT I). The action of this enzyme yields classic hybrid-type glycans with mannosyl 6-antennae and processed 3-antennae (1). In the absence of the GnT III-mediated addition of bisecting GlcNAc, the two terminal α-mannose residues of the 6-antenna of hybrid-type glycans are cleaved by Golgi α-mannosidase II, forming mono-antennary complex-type glycans. These may then be processed by N-acetylglucosaminyltransferases, generating multiantennary complex-type glycans of enormous potential heterogeneity following the sequential transfer of monosaccharides such as galactose, N-acetylgalactosamine, fucose, and N-acetylneuraminic acid (8).The importance of this carbohydrate diversity in metazoan biology is illustrated by the disease phenotypes that manifest when the biosynthesis of particular glycoforms is disrupted. In humans, about 12 congenital disorders of glycosylation (CDG) have been identified with defects in the biosynthesis of N-linked glycans (9). One disorder characterized by changes in glycosylation is congenital dyserythropoietic anemia type II (hereditary erythroblastic multinuclearity with a positive acidified serum lysis test (HEMPAS)) (10, 11). HEMPAS is a heterogenous autosomal recessive disorder that renders erythrocytes prone to lysis. Although the precise molecular basis of HEMPAS remains to be determined, it is characterized by either a reduction in β1→4-galactosyltransferase, GnT II, or, in some patients, Golgi α-mannosidase II activity (11, 12). Interestingly, the increase in cell surface terminal mannose in mice deficient in Golgi α-mannosidase II leads to autoimmunity through chronic activation of the innate immune system (13, 14).Lectin-resistant (Lec) cell lines harboring loss- or gain-of-function mutations affecting the biosynthesis of N-glycans have emerged as powerful tools for the investigation of these disorders (15). For example, genetic complementation using Lec2, containing a mutation in the cytosine monophosphate sialic acid transporter, was used to identify a novel CDG, type IIf (16). Lectin-resistant cell lines can also be used as hosts to study naturally occurring mutations, as in the case of CHO Lec23 cells used to screen α-glucosidase I mutations in CDG, type IIb (17). Other applications of lectin-resistant cell lines include the expression of specific glycoforms of therapeutic glycoproteins. Manipulating the structure of their carbohydrate moieties modulates the pharmacological properties of glycoproteins by altering their bioactivity, serum half-life, and/or tissue tropism (18). For example, β-glucocerebrosidase expressed in CHO Lec1 cells (deficient in GnT I activity) exhibits mannosylation and improved macrophage uptake for the treatment of Gaucher disease (19). Lectin-resistant CHO cell lines have also been used to improve the crystallizability of glycoproteins for structural determination by x-ray crystallography (2024).The expression of therapeutic glycoproteins as one or more defined “glycoforms” is essential for their optimization and may even be necessary to obtain regulatory approval (25). To this end, eukaryotic expression systems have been developed that allow glycosylation to be controlled. Recently, Pichia pastoris-based strains with human glycosyltransferases have been established, allowing the expression of glycoforms with oligomannose-, hybrid-, and some complex-type glycans (26, 27) and even sialylated complex-type structures (28). However, mammalian expression remains the dominant technology in industrial settings, presumably because of its reliability for the expression of human secreted glycoproteins.Although the majority of lectin-resistant cell lines have been generated using CHO cells, no Golgi α-mannosidase II-deficient CHO cell line has been generated thus far (15). Furthermore, only one human lectin-resistant cell line, i.e. GnT I-deficient (Lec1) HEK 293S cells (29), has been produced. Hybrid-type glycosylation has been reported to accumulate in ricin-resistant baby hamster kidney cells (30, 31); however, these cells contain a reduced but detectable level of cell-surface complex-type glycans, consistent with an incomplete ablation of Golgi α-mannosidase II activity (31). Moreover, the hybrids from one of these lines contain a trimannosyl rather than pentamannosyl core and appear to be heavily influenced by GnT II deficiency, resulting in the formation of what are now commonly called monoantennary complex-type glycans (3234). We now describe the isolation of an HEK 293T cell line mutated at the MAN2A1 locus and deficient in Golgi α-mannosidase II activity via selection with ricin.  相似文献   

11.
The biological and clinical relevance of glycosylation is becoming increasingly recognized, leading to a growing interest in large-scale clinical and population-based studies. In the past few years, several methods for high-throughput analysis of glycans have been developed, but thorough validation and standardization of these methods is required before significant resources are invested in large-scale studies. In this study, we compared liquid chromatography, capillary gel electrophoresis, and two MS methods for quantitative profiling of N-glycosylation of IgG in the same data set of 1201 individuals. To evaluate the accuracy of the four methods we then performed analysis of association with genetic polymorphisms and age. Chromatographic methods with either fluorescent or MS-detection yielded slightly stronger associations than MS-only and multiplexed capillary gel electrophoresis, but at the expense of lower levels of throughput. Advantages and disadvantages of each method were identified, which should inform the selection of the most appropriate method in future studies.Glycans are important structural and functional components of the majority of proteins, but because of their structural complexity and the absence of a direct genetic template our current understanding of the role of glycans in biological processes lags significantly behind the knowledge about proteins or DNA (1, 2). However, a recent comprehensive report endorsed by the US National Academies concluded that “glycans are directly involved in the pathophysiology of every major disease and that additional knowledge from glycoscience will be needed to realize the goals of personalized medicine” (3).It is estimated that the glycome (defined as the complete set of all glycans) of a eukaryotic cell is composed of more than a million different glycosylated structures (1), which contain up to 10,000 structural glycan epitopes for interaction with antibodies, lectins, receptors, toxins, microbial adhesins, or enzymes (4). Our recent population-based studies indicated that the composition of the human plasma N-glycome varies significantly between individuals (5, 6). Because glycans have important structural and regulatory functions on numerous glycoproteins (7), the observed variability suggests that differences in glycosylation might contribute to a large part of the human phenotypic variability. Interestingly, when the N-glycome of isolated immunoglobulin G (IgG)1 was analyzed, it was found to be even more variable than the total plasma N-glycome (8), indicating that the combined analysis of all plasma glycans released from many different glycoproteins blurs signals of protein-specific regulation of glycosylation.A number of studies have investigated the role of glycans in human disease, including autoimmune diseases and cancer (9, 10). However, most human glycan studies have been conducted with very small sample sizes. Given the complex causal pathways involved in pathophysiology of common complex disease, and thus the likely modest effect sizes associated with individual factors, the majority of these studies are very likely to be substantially underpowered. In the case of inflammatory bowel disease, only 20% of reported inflammatory bowel disease glycan associations were replicated in subsequent studies, suggesting that most are false positive findings and that there is publication bias favoring the publication of positive findings (11). This situation is similar to that which occurred in the field of genetic epidemiology in the past when many underpowered candidate gene studies were published and were later found to consist of mainly false positive findings (12, 13). It is essential, therefore, that robust and affordable methods for high-throughput analysis are developed so that adequately powered studies can be conducted and the publication of large numbers of small studies reporting false positive results (which could threaten the credibility of glycoscience) be avoided.Rapid advances of technologies for high-throughput genome analysis in the past decade enabled large-scale genome-wide association studies (GWAS). GWAS has become a reliable tool for identification of associations between genetic polymorphisms and various human diseases and traits (14). Thousands of GWAS have been conducted in recent years, but these have not included the study of glycan traits until recently. The main reason was the absence of reliable tools for high-throughput quantitative analysis of glycans that could match the measurements of genomic, biochemical, and other traits in their cost, precision, and reproducibility. However, several promising high-throughput technologies for analysis of N-glycans were developed (8, 1520) recently. Successful implementation of high-throughput analytical techniques for glycan analysis resulted in publication of four initial GWAS of the human glycome (2124).In this study, we compared ultra-performance liquid chromatography with fluorescence detection (UPLC-FLR), multiplex capillary gel electrophoresis with laser induced fluorescence detection (xCGE-LIF), matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS), and liquid chromatography electrospray mass spectrometry (LC-ESI-MS) as tools for mid-to-high-throughput glycomics and glycoproteomics. We have analyzed IgG N-glycans by all four methods in 1201 individuals from European populations. The analysis of associations between glycans and ∼300,000 single-nucleotide genetic polymorphisms was performed and correlation between glycans and age was studied in all four data sets to identify the analytical method that shows the strongest potential to uncover biological mechanisms underlying protein glycosylation.  相似文献   

12.
13.
There is a mounting evidence of the existence of autoantibodies associated to cancer progression. Antibodies are the target of choice for serum screening because of their stability and suitability for sensitive immunoassays. By using commercial protein microarrays containing 8000 human proteins, we examined 20 sera from colorectal cancer (CRC) patients and healthy subjects to identify autoantibody patterns and associated antigens. Forty-three proteins were differentially recognized by tumoral and reference sera (p value <0.04) in the protein microarrays. Five immunoreactive antigens, PIM1, MAPKAPK3, STK4, SRC, and FGFR4, showed the highest prevalence in cancer samples, whereas ACVR2B was more abundant in normal sera. Three of them, PIM1, MAPKAPK3, and ACVR2B, were used for further validation. A significant increase in the expression level of these antigens on CRC cell lines and colonic mucosa was confirmed by immunoblotting and immunohistochemistry on tissue microarrays. A diagnostic ELISA based on the combination of MAPKAPK3 and ACVR2B proteins yielded specificity and sensitivity values of 73.9 and 83.3% (area under the curve, 0.85), respectively, for CRC discrimination after using an independent sample set containing 94 sera representative of different stages of progression and control subjects. In summary, these studies confirmed the presence of specific autoantibodies for CRC and revealed new individual markers of disease (PIM1, MAPKAPK3, and ACVR2B) with the potential to diagnose CRC with higher specificity and sensitivity than previously reported serum biomarkers.Colorectal cancer (CRC)1 is the second most prevalent cancer in the western world. The development of this disease takes decades and involves multiple genetic events. CRC remains a major cause of mortality in developed countries because most of the patients are diagnosed at advanced stages because of the reluctance to use highly invasive diagnostic tools like colonoscopy. Actually only a few proteins have been described as biomarkers in CRC (carcinoembryonic antigen (CEA), CA19.9, and CA125 (13)), although none of them is recommended for clinical screening (4). Proteomics analysis is actively used for the identification of new biomarkers. In previous studies, the use of two-dimensional DIGE and antibody microarrays allowed the identification of differentially expressed proteins in CRC tissue, including isoforms and post-translational modifications responsible for modifications in signaling pathways (58). Both approaches resulted in the identification of a collection of potential tumoral tissue biomarkers that is currently being investigated.However, the implementation of simpler, non-invasive methods for the early detection of CRC should be based on the identification of proteins or antibodies in serum or plasma (913). There is ample evidence of the existence of an immune response to cancer in humans as demonstrated by the presence of autoantibodies in cancer sera. Self-proteins (autoantigens) altered before or during tumor formation can elicit an immune response (1319). These tumor-specific autoantibodies can be detected at early cancer stages and prior to cancer diagnosis revealing a great potential as biomarkers (14, 15, 20). Tumor proteins can be affected by specific point mutations, misfolding, overexpression, aberrant glycosylation, truncation, or aberrant degradation (e.g. p53, HER2, NY-ESO1, or MUC1 (16, 2125)). In fact, a number of tumor-associated autoantigens (TAAs) were identified previously in different studies involving autoantibody screening in CRC (2628).Several approaches have been used to identify TAAs in cancer, including natural protein arrays prepared with fractions obtained from two-dimensional LC separations of tumoral samples (29, 30) or protein extracts from cancer cells or tissue (9, 31) probed by Western blot with patient sera, cancer tissue peptide libraries expressed as cDNA expression libraries for serological screening (serological analysis of recombinant cDNA expression libraries (SEREX)) (22, 32), or peptides expressed on the surface of phages in combination with microarrays (17, 18, 33, 34). However, these approaches suffer from several drawbacks. In some cases TAAs have to be isolated and identified from the reactive protein lysate by LC-MS techniques, or in the phage display approach, the reactive TAA could be a mimotope without a corresponding linear amino acid sequence. Moreover, cDNA libraries might not be representative of the protein expression levels in tumors as there is a poor correspondence between mRNA and protein levels.Protein arrays provide a novel platform for the identification of both autoantibodies and their respective TAAs for diagnostic purposes in cancer serum patients. They present some advantages. Proteins printed on the microarray are known “a priori,” avoiding the need for later identifications and the discovery of mimotopes. There is no bias in protein selection as the proteins are printed at a similar concentration. This should result in a higher sensitivity for biomarker identification (13, 35, 36).In this study, we used commercially available high density protein microarrays for the identification of autoantibody signatures and tumor-associated antigens in colorectal cancer. We screened 20 CRC patient and control sera with protein microarrays containing 8000 human proteins to identify the CRC-associated autoantibody repertoire and the corresponding TAAs. Autoantibody profiles that discriminated the different types of CRC metastasis were identified. Moreover a set of TAAs showing increased or decreased expression in cancer cell lines and paired tumoral tissues was found. Finally an ELISA was set up to test the ability of the most immunoreactive proteins to detect colorectal adenocarcinoma. On the basis of the antibody response, combinations of three antigens, PIM1, MAPKAPK3, and ACVR2B, showed a great potential for diagnosis.  相似文献   

14.
The therapeutic humanized monoclonal antibody IgG1 known as Herceptin® has shown remarkable antitumor effects. Although this type of therapy has increased the cancer-free survival of patients, not all tumors respond to this treatment and cancers often develop resistance to the antibody. Despite the fact that Herceptin function has been extensively studied, the precise mechanism underlying its antitumor activity still remains incompletely defined. We previously demonstrated on human breast MCF-7 carcinoma and T-lymphoblastoid CEM cells that monoclonal antibody in combination with Lipoplex consisting of Lipofectamine mixed with plasmid DNA showed a more profound effect on cancer cell viability than antibody alone. The analyses of N-glycans isolated from cancer cells showed dramatic differences in profiles when cells were exposed to Herceptin. Moreover, the investigation of glycosylated peptides from the same cancer cell models after treatment revealed further alterations in the post-translational modifications. Tandem mass spectra obtained from the samples treated confirmed the presence of a series of glycopeptides bearing characteristic oligosaccharides as described in IgG1. However some of them differed by mass differences that corresponded to peptide backbones not described previously and more of them were detected from Herceptin treated samples than from cells transfected with Heceptin/Lipoplex. The results indicate that the presence of Lipoplex prevents antibody transformation and elongates its proper function. The better understanding of the multipart changes described in the glycoconjugates could provide new insights into the mechanism by which antibody induces regression in cancers.Glycosylation of proteins is a ubiquitous type of post-translational modification in living systems. Variations in oligosaccharide structures are associated with many normal and pathological events such as cellular growth, host-pathogen interaction, differentiation, migration, cell trafficking, or tumor invasion (1, 2). Targeted glycosylation research has become important in the area of developing novel therapeutic approaches (35). The structures of asparagine-linked oligosaccharides in the conserved CH2 region of the constant Fc domain of human immunoglobulin-γ (IgG1) have been shown to affect the pharmacokinetics, antibody-dependent cellular cytotoxicity and complement-dependent cytotoxicity (6, 7). In the last decade, many recombinant antibody molecules have been licensed for the treatment of a variety of cancers and chronic diseases (8). Herceptin, also known as Trastuzumab, marketed by Genentech Inc. is one example of therapeutic IgG1 antibody. It is produced from mammalian cell culture using Chinese hamster ovary cells (9). The main oligosaccharide forms found in this polypeptide chain in the Fc domain at asparagine 297 are biantennary core-fucosylated complex type structures with variable terminal galactosylation (zero, one, or two galactose residues) on their nonreducing termini (10, 11). This humanized monoclonal antibody is known to effectively target breast cancer cells overexpresing the human epidermal growth factor receptor HER2/neu (12). HER2 is a cell membrane surface-bound receptor tyrosine kinase and is normally involved in the signal transduction pathways leading to cell growth and differentiation. It can be found overexpressed in a variety tumors'' cells of epithelial origin and hematological malignancies, including acute lymphoblastic leukemia (13). When antibody binds to defective HER2 protein, this protein no longer causes cells to reproduce uncontrollably. This increases the survival of people with cancer. However, cancers usually develop resistance to trastuzumab. Unfortunately, only 25–30% of patients with HER2/neu positive breast cancer respond to this antibody (1417). Therefore search for the potential biomarkers that could predict the efficacy of clinical outcomes is needed. More precise investigation on cellular and molecular level might provide many exciting insights in understanding of mechanism resistance cancer cells to the antibody, so that antibody-based therapies can be optimized more individually (18).We recently demonstrated how the carbohydrate moieties of two cancer cell models were affected during treatment with antibody (19). The detailed glycans profiles studied by means of mass spectrometry (MS) from the two most common cancer cell lines—human breast MCF-7 carcinoma and T-lymphoblastoid CEM cells before and after treatment with Herceptin showed significant differences. Dominant high-mannose structures analyzed in both original cancer cells were suppressed after treatment and instead, complex bi- and triantennary glycans were the major structures found in the treated samples. Their ratio or occurrence varied with conditions and time of exposure of the cancer cells to the antibody. The results provided very good evidence for involvement of glycosylation during treatment. In this regard, continuous work presented here on this subject has been aimed to the MS investigation of glycosylated peptides generated by proteolytic digestions of the cancer cells before and after exposure to Herceptin or Herceptin/Lipoplex. Direct analysis of glycopeptides by tandem MS has been shown as one of the most sensitive and fast methods for a site-specific characterization of glycosylation. It can provide information on glycan composition, glycan attachment site with determination of peptide sequence (2028), and may offer more specific biomarkers to monitor changes in the post-translational modification at the onset, during cancer progression or during treatment.  相似文献   

15.
Human CD36 is a class B scavenger receptor expressed in a variety of cell types such as macrophage and adipocytes. This plasma membrane glycoprotein has a wide range of ligands including oxidized low density lipoprotein and long chain fatty acids which involves the receptor in diseases such as atherosclerosis and insulin resistance. CD36 is heavily modified post-translationally by N-linked glycosylation, and 10 putative glycosylation sites situated in the large extracellular loop of the protein have been identified; however, their utilization and role in the folding and function of the protein have not been characterized. Using mass spectrometry on purified and peptide N-glycosidase F-deglycosylated CD36 and also by comparing the electrophoretic mobility of different glycosylation site mutants, we have determined that 9 of the 10 sites can be modified by glycosylation. Flow cytometric analysis of the different glycosylation mutants expressed in mammalian cells established that glycosylation is necessary for trafficking to the plasma membrane. Minimally glycosylated mutants that supported trafficking were identified and indicated the importance of carboxyl-terminal sites Asn-247, Asn-321, and Asn-417. However, unlike SRBI, no individual site was found to be essential for proper trafficking of CD36. Surprisingly, these minimally glycosylated mutants appear to be predominantly core-glycosylated, indicating that mature glycosylation is not necessary for surface expression in mammalian cells. The data also show that neither the nature nor the pattern of glycosylation is relevant to binding of modified low density lipoprotein.Human CD36, originally identified in platelets as glycoprotein IV (1), is a class B scavenger receptor localized to the plasma membrane. It is not expressed ubiquitously but is present in a variety of different cells and tissue types including epithelial cells (2), macrophages (3), endothelial cells of the microvasculature (4), and smooth muscle (5). Its function is complex, and its involvement in different disease scenarios, such as cancer (6), atherosclerosis (3, 7, 8), malaria (9), and insulin resistance (10), most likely reflects the interaction of the receptor with a particular ligand in a specific cell type. For example, CD36 expressed in monocytic macrophages functions as a scavenger receptor for the uptake of oxidized LDL2 (3, 11). Under certain physiological conditions, this results in the lipid loading of macrophages at the site of tissue damage in the arterial wall, leading to foam cell formation and plaque development, a key early stage in the pathogenesis of atherosclerosis (8, 12). In fat and muscle cells, CD36 plays an essential role in lipid homeostasis by uptake of long chain fatty acids (13). In this case CD36 deficiency has been linked to disorders in lipid metabolism, giving rise to increased incidences of insulin resistance and cardiomyopathies (11, 14, 15).Although much is known about the function of CD36, less is known about its structure. CD36 has no bacterial homologues but is a member of a protein family that also includes the mammalian proteins LIMPII (16), CLA-1 (17), SRBI (18), and the Drosophila proteins Croquemort (19) and emp (20). The sequence of 471 amino acids has two short hydrophobic regions at the carboxyl and amino termini separated by a large hydrophilic region (21); however, the topology of the protein is unclear with both ditopic (22) and type I (23) topological models proposed. Both are consistent in predicting that the large hydrophilic region is extracellular, which is clearly supported by epitope mapping studies (24). The protein is heavily modified post-translationally. The six extracellular cysteines, which are highly conserved within the orthologous CD36 subfamily, have been shown to be linked by disulfide bonds in bovine Cd36 (25), and the remaining four cysteines, two at each terminus, are palmitoylated (26), lending credence to the ditopic topological model.CD36 is also modified by N-linked glycosylation, which accounts for the observation that the protein migrates with an apparent molecular mass of 78–94 kDa on SDS-PAGE (4, 27) despite a theoretical mass for the polypeptide of 53 kDa. N-Linked glycosylation is a common modification of extracellular and secreted proteins, and defects in the glycosylation pathways lead to a wide range of serious diseases known collectively as congenital disorders of glycosylation (28). Glycosylation can be important for correct folding of proteins (29, 30) either by directly inducing and/or stabilizing the tertiary fold of the polypeptide (31) or via an affinity for lectin chaperones such as calnexin or calreticulin (32). Glycosylation has also been shown to be important for the trafficking of certain glycoproteins through affinity for lectin transport machinery (33). The glycosylation status of bovine Cd36 has already been determined with all eight putative sites shown to be glycosylated (34). Human and bovine CD36 are 83% identical (93% when similar residues are included) and share 7 glycosylation sites (human has 10 putative glycosylation sites). In the related mouse SRBI, which is 33% identical (54% similar) to human CD36, there are 11 putative N-linked glycosylation sites, only 3 of which are shared with the human protein. Site-directed mutagenesis of each of the 11 sites independently in SRBI in an otherwise wild type protein indicates that all are glycosylated, with two (Asn-108 and Asn-173) important for either trafficking or folding. Mutagenesis of either of these two residues resulted in very little cell surface expression of the protein (35); however, neither site is conserved in human CD36.To gain further understanding of the role of glycosylation of CD36, we used mutagenesis and biophysical analysis (mass spectrometry and gel electrophoresis) to identify unequivocally which glycosylation sites are occupied in human CD36. Antibody and ligand binding studies with these mutant proteins also provided insights into the role of glycosylation and site occupancy in the trafficking and function of the protein.  相似文献   

16.
A decoding algorithm is tested that mechanistically models the progressive alignments that arise as the mRNA moves past the rRNA tail during translation elongation. Each of these alignments provides an opportunity for hybridization between the single-stranded, -terminal nucleotides of the 16S rRNA and the spatially accessible window of mRNA sequence, from which a free energy value can be calculated. Using this algorithm we show that a periodic, energetic pattern of frequency 1/3 is revealed. This periodic signal exists in the majority of coding regions of eubacterial genes, but not in the non-coding regions encoding the 16S and 23S rRNAs. Signal analysis reveals that the population of coding regions of each bacterial species has a mean phase that is correlated in a statistically significant way with species () content. These results suggest that the periodic signal could function as a synchronization signal for the maintenance of reading frame and that codon usage provides a mechanism for manipulation of signal phase.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]  相似文献   

17.
Glycosylation is one of the most important and common forms of protein post-translational modification that is involved in many physiological functions and biological pathways. Altered glycosylation has been associated with a variety of diseases, including cancer, inflammatory and degenerative diseases. Glycoproteins are becoming important targets for the development of biomarkers for disease diagnosis, prognosis, and therapeutic response to drugs. The emerging technology of glycoproteomics, which focuses on glycoproteome analysis, is increasingly becoming an important tool for biomarker discovery. An in-depth, comprehensive identification of aberrant glycoproteins, and further, quantitative detection of specific glycosylation abnormalities in a complex environment require a concerted approach drawing from a variety of techniques. This report provides an overview of the recent advances in mass spectrometry based glycoproteomic methods and technology, in the context of biomarker discovery and clinical application.With recent advances in proteomics, analytical and computational technologies, glycoproteomics—the global analysis of glycoproteins—is rapidly emerging as a subfield of proteomics with high biological and clinical relevance. Glycoproteomics integrates glycoprotein enrichment and proteomics technologies to support the systematic identification and quantification of glycoproteins in a complex sample. The recent development of these techniques has stimulated great interest in applying the technology in clinical translational studies, in particular, protein biomarker research.While glycomics is the study of glycome (repertoire of glycans), glycoproteomics focuses on studying the profile of glycosylated proteins, i.e. the glycoproteome, in a biological system. Considerable work has been done to characterize the sequences and primary structure of the glycan moieties attached to proteins (13), and their structural alterations related to cancer (46). Recent reports have provided a comprehensive overview of the concept of glycomics and its prospective in biomarker research (710). In contrast, this review is focused on recent developments in glycoproteomic techniques and their unique application and technical challenge to biomarker discovery.

Glycoproteomics in Biomarker Discovery and Clinical Study

Most secretory and membrane-bound proteins produced by mammalian cells contain covalently linked glycans with diverse structures (2). The glycosylation form of a glycoprotein is highly specific at each glycosylation site and generally stable for a given cell type and physiological state. However, the glycosylation form of a protein can be altered significantly because of changes in cellular pathways and processes resulting from diseases, such as cancer, inflammation, and neurodegeneration. Such disease-associated alterations in glycoproteins can happen in one or both of two ways: 1) protein glycosylation sites are either hypo, hyper, or newly glycosylated and/or; 2) the glycosylation form of the attached carbohydrate moiety is altered. In fact, altered glycosylation patterns have long been recognized as hallmarks in cancer progression, in which tumor-specific glycoproteins are actively involved in neoplastic progression and metastasis (5, 6, 11, 12). Sensitive detection of such disease-associated glycosylation changes and abnormalities can provide a unique avenue to develop glycoprotein biomarkers for diagnosis and prognosis. In addition, intervention in the glycosylation and carbohydrate-dependent cellular pathways represent a potential new modality for cancer therapies (6, 11, 13). 14, 15) that are glycosylated proteins or protein complexes.

Table I

Listing of some of the US Food and Drug Administration (FDA) approved cancer biomarkers
Protein targetGlycosylationDetectionSourceDiseaseClinical biomarker
α-FetoproteinYesGlycoproteinSerumNonseminomatous testicular cancerDiagnosis
Human chorionic gonadotropin-βYesGlycoproteinSerumTesticular cancerDiagnosis
CA19–9YesCarbohydrateSerumPancreatic cancerMonitoring
CA125YesGlycoproteinSerumOvarian cancerMonitoring
CEA (carcinoembryonic antigen)YesProteinSerumColon cancerMonitoring
Epidermal growth factor receptorYesProteinTissueColon cancerTherapy selection
KITYesProtein (IHC)TissueGastrointestinal (GIST) cancerDiagnosis/Therapy selection
ThyroglobulinYesProteinSerumThyroid cancerMonitoring
PSA-prostate-specific antigen (Kallikrein 3)YesProteinSerumProstate cancerScreening/Monitoring/Diagnosis
CA15–3YesGlycoproteinSerumBreast cancerMonitoring
CA27–29YesGlycoproteinSerumBreast cancerMonitoring
HER2/NEUYesProtein (IHC), ProteinTissue, SerumBreast cancerPrognosis/Therapy selection/Monitoring
Fibrin/FDP-fibrin degradation proteinYesProteinUrineBladder cancerMonitoring
BTA-bladder tumour-associated antigen (Complement factor H related protein)YesProteinUrineBladder cancerMonitoring
CEA and mucin (high molecular weight)YesProtein (Immunofluorescence)UrineBladder cancerMonitoring
Open in a separate windowProtein biomarker development is a complex and challenging task. The criteria and approach applied for developing each individual biomarker can vary, depending on the purpose of the biomarker and the performance requirement for its clinical application (16, 17). In general, it has been suggested that the preclinical exploratory phase of protein biomarker development can be technically defined into four stages (18), including initial discovery of differential proteins; testing and selection of qualified candidates; verification of a subset of candidates; assay development and pre-clinical validation of potential biomarkers. Thanks to recent technological advances, mass spectrometry based glycoproteomics is now playing a major role in the initial phase of discovering aberrant glycoproteins associated with a disease. Glycoprotein enrichment techniques, coupled with multidimensional chromatographic separation and high-resolution mass spectrometry have greatly enhanced the analytical dynamic range and limit of detection for glycoprotein profiling in complex samples such as plasma, serum, other bodily fluids, or tissue. In addition, candidate-based quantitative glycoproteomics platforms have been introduced recently, allowing targeted detection of glycoprotein candidates in complex samples in a multiplexed fashion, providing a complementary tool for glycoprotein biomarker verification in addition to antibody based approaches. It is clear that glycoproteomics is gaining momentum in biomarker research.

Glycoproteomics Approaches

Glycoproteomic analysis is complicated not only by the variety of carbohydrates, but also by the complex linkage of the glycan to the protein. Glycosylation can occur at several different amino acid residues in the protein sequence. The most common and widely studied forms are N-linked and O-linked glycosylation. O-linked glycans are linked to the hydroxyl group on serine or threonine residues. N-linked glycans are attached to the amide group of asparagine residues in a consensus Asn-X-Ser/Thr sequence (X can be any amino acid except proline) (19). Other known, but less well studied forms of glycosylation include glycosylphosphatidylinositol anchors attached to protein carboxyl terminus, C-glycosylation that occurs on tryptophan residues (20), and S-linked glycosylation through a sulfur atom on cysteine or methionine (21, 22). Our following discussion is focused on glycoproteomic analysis of the most common N-linked and O-linked glycoproteins.A comprehensive analysis of glycoproteins in a complex biological sample requires a concerted approach. Although the specific methods for sample preparation can be different for different types of samples (e.g. plasma, serum, tissue, and cell lysate), a glycoproteomics pipeline typically consists of glycoprotein or glycopeptide enrichment, multidimensional protein or peptide separation, tandem mass spectrometric analysis, and bioinformatic data interpretation. For glycoprotein-based enrichment methods, proteolytic digestion can be performed before or after glycan cleavage, depending on the specific workflow and enrichment methods used. For glycopeptide enrichment, proteolytic digestion is typically performed before the isolation step so that glycopeptides, instead of glycoproteins, can be captured. For quantitative glycoproteomics profiling, additional steps, such as differential stable isotope labeling of the sample and controls, are required. Fig. 1 illustrates the general strategy for an integrated glycoproteomics analysis.Open in a separate windowFig. 1.The strategies of mass spectrometry based glycoproteomic analysis.Glycoproteins or glycopeptides can be effectively enriched using a variety of techniques (see below). Following the enrichment step, the workflow then splits into two directions: glycan analysis and glycoprotein analysis. The strategies for glycan analysis have been discussed in several reviews and will not be covered in this report. For glycoprotein analysis, bottom-up workflows (“shotgun proteomics”—peptide based proteomics analysis) (23) are still most common, providing not only detailed information of a glycoprotein profile, but also the specific mapping of glycosylation sites. It is notable that the reliable analysis of mass spectrometric data in glycoproteomic studies largely relies on bioinformatic tools and glyco-related databases that are available. An increasing number of algorithms and databases for glycan analysis have been developed and well documented in several recent reviews (2426). For glycoprotein and glycopeptide sequence analysis, a large number of well-characterized and annotated glycoproteins can be found in the UniProt Knowledgebase. In addition, many glycopeptide mass spectra are now available in the continually expanding PeptideAtlas library (27), which stores millions of high-resolution peptide fragment ion mass spectra acquired from a variety of biological and clinical samples for peptide and protein identification. Ultimately, all the data obtained from different aspects of the workflow need to be merged and interpreted in an integrated fashion so that the full extent of glycosylation changes associated with a particular biological state can be better revealed. To the best of our knowledge, the complete glycoform analysis of any glycoprotein in a specific cell type under any specific condition has not yet been accomplished for any glycoprotein with multiple glycosylation sites. Current technology can define the glycan compliment and profile the glycoproteins, but is not capable of putting them together to define the molecular species present. To date, such integrated studies still remain highly challenging, even with advanced tandem mass spectrometry technologies and growing bioinformatic resources (26, 2831).

Enrichment of the Glycoproteome

Characterization of the glycoproteome in a complex biological sample such as plasma, serum, or tissue, is analytically challenging because of the enormous complexity of protein and glycan constituents and the vast dynamic range of protein concentration in the sample. The selective enrichment of the glycoproteome is one of the most efficient ways to simplify the enormous complexity of a biological sample to achieve an in-depth glycoprotein analysis. Two approaches for glycoprotein enrichment have been widely applied: lectin affinity based enrichment methods (3136) and hydrazide chemistry-based solid phase extraction methods (3742). Recent studies have demonstrated that the two methods are complementary and a very effective means for the enrichment of glycoproteins or glycopeptides from human plasma and other bodily fluids (38, 39, 43). In addition, glycoprotein and glycopeptide enrichment using boronic acid (44, 45), size-exclusion chromatography (46), hydrophilic interaction (47) and a graphite powder microcolumn (48) have been reported.Lectin affinity enrichment is based on the specific binding interaction between a lectin and a distinct glycan structure attached on a glycoprotein (49, 50). There are a variety of lectin species that can selectively bind to different oligosaccharide epitopes. For instance, concanavalin A (ConA) binds to mannosyl and glucosyl residues of glycoproteins (51); wheat germ agglutinin (WGA) binds to N-acetyl-glucosamine and sialic acid (52); and jacalin (JAC) specifically recognizes galactosyl (β-1,3) N acetylgalactosamine and O-linked glycoproteins (53). Lectin affinity enrichment has been designed to enrich glycoproteins with specific glycan attachment from plasma, serum, tissue, and other biological samples through affinity chromatography and other methods. Multiple lectin species can also be combined to isolate multiple types of glycoproteins in complex biological samples (5459). Concanavalin A and wheat germ agglutinin, as well as jacalin are often used together to achieve a more extensive glycproteome characterization (31, 34, 57, 59, 60). Several reports have demonstrated a multilectin column approach to achieve a global enrichment of glycoproteins with various glycan attachments from serum and plasma (31, 34, 59, 61, 62). A recent study has developed a “filter aided sample preparation (FASP)” based method, which allows highly efficient enrichment of glycopeptides using multi-lectins (63). To date, most of the work using lectin affinity for targeted glycoprotein enrichment has focused on N-glycosylation because the binding specificity of lectin for O-glycosylation is less satisfactory. To overcome such caveat, efforts have been made using serial lectin columns of concanavalin A and jacelin in tandem to isolate O-glycopeptides from human serum (35).A hydrazide chemistry-based method has been applied to isolate glycoproteins and glycopeptides through the formation of covalent bonding between the glycans and the hydrazide groups (37). The carbohydrates on glycoproteins are first oxidized to form aldehyde groups, which sequentially react with hydrazide groups that are immobilized on a solid surface. The chemical reaction conjugates the glycoproteins to the solid phase by forming the covalent hydrazone bond. Although, conceptually, the majority of the glycoproteins in a biological sample can be captured using this method, the further analysis of the captured glycoproteins is practically limited by the method that can cleave glycoproteins or glycopeptides from the solid phase. Because there is a lack of efficient enzymes or chemicals that can specifically deglycosylate and/or release O-linked glycoproteins or glycopeptides from the solid phase, most of the studies have applied this method solely for N-linked glycoprotein analysis. PNGase F is the enzyme that can specifically release an N-glycosylated proteins or peptides (except those carrying α1→3 linked core fucose (38)) from its corresponding oligosaccharide groups. The hydrazide chemistry method is not only highly efficient in enriching N-linked glycoproteins or glycopeptides from a complex environment, but also allows great flexibility in its applications, such as capturing extracellular N-glycoproteins on live cells to monitor their abundant changes because of cell activation, differentiation, or other cellular activities (64). This method can be readily automated for analyzing a large quantity of samples.Recent studies have compared glycoprotein isolation methods. One study assessed lectin-based protocols and hydrophilic interaction chromatography for their performance in enriching glycoproteins and glycopeptides from serum (65). Other studies compared lectin affinity and hydrazide chemistry methods for their efficiency in isolating glycoproteins and glycopeptides from a complex biological sample (39, 66, 67). The methods are complementary in enriching glycoproteins because of their different mechanisms of glycoprotein capturing. When both methods were applied, it significantly improves the coverage of the glycoproteome, resulting in an increased number of glycoproteins identified. The lectin affinity method can be tailored to target glycoproteins with specific glycan structure(s) for isolation using different lectins, thus, affording flexibility for its application in glycoproteomic studies. The application of hydrazide chemistry method has been widely used for N-linked glycosylation study. The hydrazide chemistry essentially reacts with all the proteins with carbonyl groups, which may include glycoproteins with oxidized glycans (37, 40) and other oxidized proteins that carry carbonyl groups (6870). The high specificity of this method may mainly result from the specificity of PNGase F, the enzyme cleaving N-glycosidic bonds to release N-glycoproteins and peptides from the solid phase. This method affords high efficiency and specificity in enriching N-linked glycoproteins or glycopeptides from a complex sample, and can be easily incorporated into a proteomics workflow for integrated analysis. In addition to the lectin and hydrazide chemistry-based methods, it has been suggested that boronic acid-based solid phase extraction may also be useful for an overall glycoproteome enrichment (44, 45), on the basis of the evidence that boronic acid can form diester bonds with most glycans, including both N-linked and O-linked glycosylation (71).

Mass Spectrometric Analysis of Glycoproteome

Mass spectrometry, because of its high sensitivity and selectivity, has been one of the most versatile and powerful tools in glycoprotein analysis, to identify the glycoproteins, evaluate glycosylation sites, and elucidate the oligosaccharide structures (56, 72, 73). The utility of a top-down approach (intact protein based proteomics analysis) (74) for glycoprotein characterization in a complex sample is still technically challenging with the current technology. The most versatile and widely used current glycoproteomics methods are based on characterizing glycopeptides generated by the digestion of glycoproteins, analyzing either deglycosylated glycopeptides or intact glycopeptides with glycan attachment, as illustrated in Fig. 1.The direct analysis of intact glycopeptides with carbohydrate attachments is complicated by the mixed information obtained from the fragment ion spectra, which may include fragment ions from the peptide backbone, the carbohydrate group and the combinations of both. Although it is technically challenging to comprehensively analyze intact glycopeptides in a global scale for a complex biological sample, complementary information regarding peptide backbone and glycan structure can likely be obtained in a single measurement. Early work using collision-induced dissociation (CID)1 has identified a few key features that are characteristics of the fragmentation of glycopeptides, providing the basis for intact glycopeptide identification (7579). The analysis of intact glycopeptides has been carried out using a variety of different instruments, including electrospray ionization (EST)-based ion trap (IT) (8084), quadrupole ion trap (QIT) (8587), Fourier transform ion cyclotron resonance (FTICR) (31, 57, 88, 89), ion trap/time-of-flight (IT/TOF) (90, 91), and quadrupole/time-of-flight (Q/TOF) (9297); matrix-assisted laser desorption/ionization (MALDI) based Q/TOF (98100), quadrupole ion trap/time-of-flight (QIT/TOF) (86, 101, 102), and tandem time-of-flight (TOF/TOF) (81, 82, 101, 103105) mass spectrometers. In general, the CID generated MS/MS spectrum of a glycopeptide is dominated by B- and Y-type glycosidic cleavage ions (carbohydrate fragments) (106), and b- and y-type peptide fragments from the peptide backbone. However, the MS/MS fragmentation data obtained from different instruments can have pronounced difference in providing structure information on glycan and peptide backbone, depending on the experimental setting and instrumentation used for mass analysis, including ionization methods, collision techniques and mass analyzers. Low energy CID with electrospray ionization-based ion trap, Fourier transform-ion cyclotron resonance, and Q/TOF instrument predominantly generates fragments of glycosidic bonds. The increase of collision energy using Fourier transform-ion cyclotron resonance, and Q/TOF instruments result in the more efficient fragmentation of b- and y- ions from the peptide backbone. MALDI ionization generates predominantly singly charged precursor ions, which are more stable and usually fragmented using higher energies via CID or post-source decay (PSD), generating fragments from both the peptide backbone and the glycan (98100, 103, 107110). Although Q/TOF instruments have been widely used for intact glycopeptide characterization, one unique feature of the ion trap instrument is that it allows repeated ion isolation/CID fragmentation cycles, which can provide a wealth of complementary information to interpret the structure of a glycan moiety and peptide backbone (56, 86, 111). Recently, fragmentation techniques using different mechanisms from CID have been introduced and applied for glycopeptide analysis, including infrared multiphoton dissociation (IRMPD) (112115), electon-capture dissociation (ECD) (112120) and electron-transfer disassociation (ETD) (85, 121123). The application of infrared multiphoton dissociation and electon-capture dissociation is largely performed with Fourier transform-ion cyclotron resonance instruments. Complementary to CID fragmentation, electon-capture dissociation and electron-transfer disassociation tend to cleave the peptide backbone with no loss of the glycan moiety, providing specific information on localizing the glycosidic modification. More details regarding mass spectrometric analysis of intact glycopeptides can be found in recent reviews (56, 124). Although great efforts have been made to apply a variety of mass spectrometry techniques to study both N-linked (32, 56, 86, 87, 112114, 125130) and O-linked (90, 116, 119, 120, 130140) glycopeptides, the interpretation of the fragment spectrum of an intact glycopeptide still requires intensive manual assignment and evaluation. A recent study has demonstrated the feasibility to develop an automated workflow for analyzing intact glycopeptides in mixtures (141). In general, however, a high throughput, large scale profiling of intact glycopeptides in a complex sample still remains a challenge with current technology.The analysis of deglycosylated peptides requires the removal of glycan attachments from glycopeptides. Fortunately, for N-linked glycopeptides, the N-glycosidic bond can be specifically cleaved using the enzyme PNGase F, providing deglycosylated peptides, which can then be analyzed directly using shotgun proteomics. The PNGase F-catalyzed deglycosylation results in the conversion of asparagine to aspartic acid in the glycopeptide sequence, which introduces a mass difference of 0.9840 Da. Such distinct mass differences can be used to precisely map the N-linked glycosylation sites using high resolution mass spectrometers. Stable isotope labeling introduced by enzymatic cleavage of glycans in H218O has also been used to enhance the precise identification of N-glycosylation sites (33, 142, 143). The removal of O-linked glycans is less straightforward, most assays rely on chemical deglycosylation methods, such as trifluoromethansulfonic acid (144), hydrazinolysis (145), β-elimination (146), and periodate oxidation (35, 147). The application of these methods suffers from a variety of limitations, such as low specificity for O-linked glycosylation, degradation of the peptide backbone, and modifications of the amino acid residues—all of which can complicate or compromise O-linked glycoproteomics analysis in a complex sample. Most of the large scale glycoproteomics studies using the deglycosylation approach have been focused on N-glycoproteins, which are prevalent in blood and a rich source for biomarker discovery. O-glycosylation lacks a common core, consensus sequence, and universal enzyme that can specifically remove the glycans from the peptide backbone, thus, is more challenging to analyze for large scale profiling.Following deglycosylation, the glycopeptides can be treated and analyzed as stripped peptides using a shotgun proteomics pipeline. MS/MS fragment spectra with b-ions and y-ions generated from CID are searched against protein databases using search algorithms, such as SEQUEST (148), MASCOT (149), and X!tandem (150), and subsequently validated via statistical analysis (151154), to provide peptide and protein identifications with known false discovery rate. The N-glycosylation sites can be precisely mapped using the consensus sequence of Asn-X-Ser/Thr, in which asparagine is converted to aspartic acid following enzyme cleavage introducing a mass difference of 0.9840 Dalton. A variety of mass spectrometers have been used to analyze glycoproteins, in particular N-linked glycoproteins, in complex biological and clinical samples using the deglycosylation approach. These studies include electrospray ionization-based ion trap (3739, 41, 67, 155157), Orbitrap (158), Q/TOF (33, 35, 142, 155), triple quadrupole (159), Fourier transform-ion cyclotron resonance (64, 160); and MALDI based TOF/TOF (41, 161) and Q/TOF (37). Recently, an attempt was made to apply ion mobility-mass spectrometry (IM-MS) to characterize deglycosylated glycopeptides and the corresponding carbohydrates simultaneously (162) in a single measurement. The approach of analyzing deglycosylated glycopeptides makes it possible to utilize available proteomics technology for large-scale glycoproteome profiling, especially N-linked glycoproteins, in a high-throughput fashion.

Glycoproteomics Analysis in Blood and Other Bodily Fluids

An important target for blood-based diagnostic assays involves the detection and quantification of glycosylated proteins. Glycosylated proteins, especially N-linked glycoproteins, are ubiquitous among the proteins destined for extracellular environments (163), such as plasma or serum. A systematic and in-depth global profiling of the blood glycoproteome can provide fundamental knowledge for blood biomarker development, and is now possible with the development of glycoproteomics technologies. In the past few years, several large scale proteomics studies on profiling the glycoproteome of human plasma and serum have been reported (34, 35, 37, 38, 43, 61, 65, 164166), adding significant numbers of glycoproteins into the blood glycoproteome database. In one study (38), immunoaffinity subtraction and hydrazide chemistry were applied to enrich N-glycoproteins from human plasma. The captured plasma glycoproteins were subjected to two-dimensional liquid chromatography separation followed by tandem mass spectrometric analysis. A total of 2053 different N-glycopeptides were identified, covering 303 nonredundant glycoproteins, including many glycoproteins with low abundance in blood (38). In a different study, hydrazide chemistry-based solid phase extraction method was applied to enhance the detection of tissue-derived proteins in human plasma (167). Other studies have applied lectin affinity-based approaches to characterize the serum and plasma glycoproteome (34, 43, 166). These studies provide detailed identification regarding the individual N-glycosylation sites using high-resolution mass spectrometry. The efforts made in global profiling of glycoproteins in plasma and serum have not only greatly enhanced our understanding of the blood glycoproteome, but also have facilitated the development of new technologies that can be used for glycoprotein biomarker discovery. A variety of experimental designs and strategies for blood glycoprotein profiling have been applied for clinical disease studies, including prostate cancer (168), hepatocellular carcinoma (164, 168170), lung adenocarcinoma (61, 171), breast cancer (58, 165, 172), atopic dermatitis (169), ovarian cancer (173, 174), congenital disorders of glycosylation (175), and pancreatic cancer (156, 176). Most of these studies focused on the early stages of glycoprotein biomarker discovery and many of them exploited multilectin affinity techniques to isolate glycoproteins from serum or plasma.Glycoproteomics techniques have also been applied to study the glycoproteome of other bodily fluids. The complementary application of hydrazide chemistry-based solid phase extraction and lectin affinity method have led to the identification of 216 glycoproteins in human cerebrospinal fluid (CSF), including many low abundant ones (39). A hydrazide chemistry based study on human saliva has characterized 84 N-glycosylated peptides in 45 glycoproteins (177). The study on tear fluid identified 43 N-linked glycoproteins, including 19 proteins that have not been discovered in tear fluid previously (178). Other glycoproteomics studies on bodily fluids include N-glycoprotein profiling of lung adenocarcinoma pleural effusions (179), urine glycoprotein profiling (180), and urine glycoprotein signature identification for bladder cancer (181). In the urine glycoprotein profiling study, 150 annotated glycoproteins in addition to 43 predicted glycoproteins were identified (180). In our own study, 48 glycoproteins have so far been identified in pancreatic juice (unpublished data), adding complementary information to the pancreatic juice protein database (182184).

Glycoproteomics Analysis of Tissue and Cell Lysates

Protein glycosylation has been increasingly recognized as one of the prominent alterations involved in tumorigenesis, inflammation, and other disease states. The study of glycoproteins in cell and tissue carries great promise for defining biomarkers for diagnotic and therapeutic targets. The glycoproteomics studies in liver tissue (185, 186) and cell lines (187) have provided a fundamental understanding of the liver glycoproteome and identified protein candidates that are associated with highly metastatic liver cancer cells. In one of the studies, hydrazide chemistry and multiple enzyme digestion provided a complementary identification of 939 N-glycosylation sites covering 523 nonredundant glycoproteins in human liver tissue (185). Studies on ovarian cancer have focused on discovering putative glycoprotein biomarkers for improving diagnosis (173, 174) and therapeutic treatment (188). Glycoproteomics studies have also been carried out to study hepatocelluar carcinoma. Magnetic nanoparticle immobilized Concanavalin A was used to selectively enrich N-glycoproteins in a hepatocelluar carcinoma cell line leading to the identification of 184 glycosylation sites corresponding to 101 glycoproteins (189). In a different study, complementary methods of hydrophilic affinity and hydrazide chemistry were applied to investigate the secreted glycoproteins from a hepatocelluar carcinoma cell line, in which 300 different glycosylation sites within 194 glycoproteins were identified (190). While many of these studies focused on N-glycoproteins, mucin-type O-linked glycoproteins are the predominant forms of O-linked glycosylation and are difficult to analyze. A metabolic labeling method was developed to facilitate their identification in complex cell lysates using proteomic strategies (191).Cell surface and membrane proteins are particularly appealing for biomarker discovery, and many of them are glycosylated proteins. Both hydrazide chemistry- and lectin affinity-based approaches have been applied to specifically study cell surface and membrane N-glycoproteins that are associated with diseases, including colon carcinoma (192), breast cancer (158), and thyroid cancer (157). One study applied hydrazide chemistry to covalently label extracellular glycan moieties on live cells, providing highly specific and selective identification of cell surface N-glycoproteins (64). A complementary application of hydrazide chemistry and lectin affinity methods was demonstrated to profile cell membrane glycoproteins, significantly enhancing the glycoprotein identification (67).

Quantitative Glycoprotein Profiling

One of the major goals of clinical proteomics is to effectively identify dysregulated proteins that are specifically associated with a biological state, such as a disease. In the past decade, different quantitative proteomics techniques have been introduced and applied to study a wide variety of disease settings. These techniques are based on different mechanisms to facilitate mass spectrometric-based quantitative analysis, including stable isotopic or isobaric labeling using chemical reactions (e.g. ICAT and iTRAQ) (193195), metabolic incorporation (e.g. SILAC) (196) and enzymatic reactions (e.g. 18O labeling) (197, 198); as well as less quantitatively accurate label-free approaches (199, 200). The overview and comparison of these quantitative techniques can be found in several reports in the literature and are not discussed in this review. Most of these isotopic labeling techniques can be adapted and utilized for glycoproteomics analysis to quantitatively compare the glycoproteome of a diseased sample to a control, thus revealing the glycosylation occupancy of individual glycosylation sites that may be involved in a disease. In addition to the well-established labeling methods cited above, several more experimental labeling strategies have been described in the field of glycoproteomics. One study demonstrated the feasibility of using stable isotope labeled succinic anhydride for quantitative analysis of glycoproteins isolated from serum via hydrazide chemistry (37). In a different report, the heavy and light version of N-acetoxy-succinimide combining with lectin affinity selection was used to quantitatively profile serum glycopeptides in canine lymphoma and transitional cell carcinoma (201). Stable isotope labeled 2-nitrobenzenesulfenyl was also used for chemical labeling in a quantitative glycoprotein profiling study on the sera from patients with lung adenocarcinoma (202). O-Linked N-acetylglucosamine (O-GlcNAc) is an intracellular, reversible form of glycosylation that shares many features with phosphorylation (203). Studies have suggested that O-GlcNAc may play an important role in many biological processes (204). A quantitative study on O-GlcNAc glycosylation has been reported, in which a method termed quantitative isotopic and chemoenzymatic tagging (QUIC-Tag) was described using a biotin-avidin affinity strategy for O-GlcNAc glycopeptide enrichment and stable isotope-labeled formaldehyde for mass spectrometric quantification (205). Recently, the isobaric tag for relative and absolute quantitation (iTRAQ) technique, combined with different glycoprotein enrichment approaches, has been utilized in several quantitative glycoproteomics studies. In the study of hepatocellular carcinoma, N-linked glycoproteins were enriched from hepatocellular carcinoma patients and controls using multilectin column and then quantitatively compared using iTRAQ to reveal the differential proteins associated with hepatocellular carcinoma (206). In a different study, the approach of using narrow selectivity lectin affinity chromatography followed by iTRAQ labeling was demonstrated to selectively identify differential glycoproteins in plasma samples from breast cancer patients (165). Another study utilized hydrazide chemistry-based solid phase extraction and iTRAQ to investigate the tear fluid of patients with climatic droplet keratopathy in comparison of normal controls, identifying multiple N-glycosylation sites with differential occupancy associated with climatic droplet keratopathy (178).In addition to using chemical reactions to incorporate stable isotope tag for quantitative mass spectrometric analysis, 18O can be introduced into N-glycopeptides during enzymatic reactions, such as tryptic digestion (incorporation of two 18O into the peptide carboxyl-terminal) and PNGase F mediated hydrolysis (incorporation of one 18O into the asparagine of N-glycosylation sites (33)). Attempts have been made to apply this approach to identify differentially expressed N-glycosylation associated with ovarian cancer in serum (207). In a different approach, the SILAC technique allows incorporation of stable isotope-labeled amino acids into proteins during cell culturing process (196), and was applied to investigate the difference in cell surface N-glycoproteins among different cell types (64). A label-free approach has also been used for glycoproteomics profiling, including a method developed to profile intact glycopeptides in a complex sample (208) and a study that compares the plasma glycoproteome between psoriasis patients and healthy controls (209).

Targeted Glycoproteomics Analysis

Mass spectrometry based targeted proteomics has recently emerged as a multiplexed quantitative technique that affords highly specific and candidate-based detection of targeted peptides and proteins in a complex biological sample (18, 210214). The technique is based on the concept of stable isotope dilution utilizing stable isotope-labeled synthetic reference peptides, which precisely mimic their endogenous counterparts, to achieve targeted quantification (214). Such techniques can be applied to target specific glycoproteins or glycopeptides, to precisely quantify the status of candidate glycosylation sites and assess the glycosylation occupancy at the molecular level. However, it is technically impractical to use synthetic peptides to precisely mimic a large number of natural glycopeptides with intact a glycan moiety as internal standards because of the structure complexity and variation of the sugar chain. To overcome these technical obstacles, an alternative approach was proposed for targeted analysis of N-glycosylation occupancy, in which stable isotope-labeled peptides were synthesized to mimic the deglycosylated form of candidate glycopeptides as internal references (161). It is known that the deglycosylation step using PNGase F results in a conversion of asparagine to aspartic acid in the peptide sequence, introducing a mass difference of 0.9840 Da. This phenomenon was utilized to design a synthetic peptide to mimic the endogenous N-linked glycopeptide in its deglycosylation form with exact amino acid sequence of its endogenous counterpart and with 13C and 15N labeling on one of its amino acids (161). Therefore, each matched pair of reference and endogenous candidate glycopeptides should share the same chromatographic and mass spectrometric characteristics, and can only be distinguished by their mass difference and isotopic pattern because of isotopic labeling. This design conceptually ensures that the synthetic internal standard of a candidate glycopeptide will be detected simultaneously with its endogenous form under the same analytical conditions, thus, minimizing the systematic variation and providing reliable quantification (214). The strategy for targeted glycoproteomics analysis is schematically illustrated in Fig. 2.Open in a separate windowFig. 2.Targeted analysis of N-glycopeptides.The targeted glycoproteomics technique was first demonstrated to analyze N-glycopeptides that were extracted from human serum using an integrated pipeline combining a hydrazide chemistry-based solid phase extraction method and a data-driven liquid chromatography MALDI TOF/TOF mass spectrometric analysis to quantify 21 N-glycopeptides in human serum (161). A similar mass spectrometric platform was then applied in a different study to assess a subset of glycoprotein biomarker candidates in the sera from prostate cancer patients (215). The targeted glycoproteomics analysis has also been demonstrated using a triple Q/linear ion trap instrument with the selected reaction monitoring (also referred to as multiple reaction monitoring) technique for highly sensitive targeted detection of N-glycoproteins in plasma (159). The technique was applied to detect tissue inhibitor of metalloproteinase 1 (TIMP1), an aberrant glycoprotein associated with colorectal cancer, in the sera of colorectal cancer patients (216) using a tandem enrichment strategy, combing lectin glycoprotein enrichment followed by the method of stable isotope standards and capture by antipeptide antibodies (SISCAPA), to enhance the detection of tissue inhibitor of metalloproteinase 1 (216). These studies demonstrate an integrated pipeline for candidate-based glycoproteomics analysis with precise mapping of targeted N-linked motifs and absolute quantification of the glycoprotein targets in a complex biological sample. Such targeted glycoproteomics can reach a detection sensitivity at the nanogram per milliliter level for serum and plasma detection (159, 214216).

Concluding Remarks

The major challenge for a comprehensive glycoproteomics analysis arises not only from the enormous complexity and nonlinear dynamic range in protein constituent in a clinical sample, but also the profound biological intricacy within the molecule of a glycoprotein, involving the flexibility in glycan structures and the complex linkage with the corresponding protein. In the past decade, significant efforts have been made to structurally or quantitatively characterize the glycoproteome of a variety of biological samples, and to investigate the significant glycoproteins in a wide assortment of diseases. Shotgun proteomics-based techniques are still the most effective and versatile approach in glycoproteomics analysis, allowing high throughput and detailed analysis on individual glycosylation sites. Although glycoproteomics is quickly emerging as an important technique for clinical proteomics study and biomarker discovery, a comprehensive, quantitative glycoproteomics analysis in a complex biological sample still remains challenging. It is anticipated that with the continued evolution in mass spectrometry, separation technology, and bioinformatics many of the technical limitations associated with current glycoproteomics may be transient. There is no doubt that glycoproteomics is playing an increasingly important role in biomarker discovery and clinical study.  相似文献   

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Decomposing a biological sequence into its functional regions is an important prerequisite to understand the molecule. Using the multiple alignments of the sequences, we evaluate a segmentation based on the type of statistical variation pattern from each of the aligned sites. To describe such a more general pattern, we introduce multipattern consensus regions as segmented regions based on conserved as well as interdependent patterns. Thus the proposed consensus region considers patterns that are statistically significant and extends a local neighborhood. To show its relevance in protein sequence analysis, a cancer suppressor gene called p53 is examined. The results show significant associations between the detected regions and tendency of mutations, location on the 3D structure, and cancer hereditable factors that can be inferred from human twin studies.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27]  相似文献   

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