Search

Being a widely occurring protein post-translational modification, N-glycosylation features unique multi-dimensional structures including sequence and linkage isomers. There have been successful bioinformatics efforts in N-glycan structure identification using N-glycoproteomics data; however, symmetric "mirror" branch isomers and linkage isomers are largely unresolved. Here, we report deep structure-level N-glycan identification using feature-induced structure diagnosis (FISD) integrated with a deep learning model. A neural network model is integrated to conduct the identification of featured N-glycan motifs and boosts the process of structure diagnosis and distinction for linkage isomers. By adopting publicly available N-glycoproteomics datasets of five mouse tissues (17,136 intact N-glycopeptide spectrum matches) and a consideration of 23 motif features, a deep learning model integrated with a convolutional autoencoder and a multilayer perceptron was trained to be capable of predicting N-glycan featured motifs in the MS/MS spectra with previously identified compositions. In the test of the trained model, a prediction accuracy of 0.8 and AUC value of 0.95 were achieved; 5701 previously unresolved N-glycan structures were assigned by matched structure-diagnostic ions; and by using an explainable learning algorithm, two new fragmentation features of m/z = 674.25 and m/z = 835.28 were found to be significant to three N-glycan structure motifs with fucose, NeuAc, and NeuGc, proving the capability of FISD to discover new features in the MS/MS spectra. [ABSTRACT FROM AUTHOR]

N-linked glycosylation is a common posttranslational modification of proteins that results in macroheterogeneity of the modification site. However, unlike simpler modifications, N-glycosylation introduces an additional layer of complexity with tens of thousands of possible structures arising from various dimensions, including different monosaccharide compositions, sequence structures, linking structures, isomerism, and three-dimensional conformations. This results in additional microheterogeneity of the modification site of N-glycosylation, i.e., the same N-glycosylation site can be modified with different glycans with a certain stoichiometric ratio. N-glycosylation regulates the structure and function of N-glycoproteins in a site- and structure-specific manner, and differential expression of N-glycosylation under disease conditions needs to be characterized through site- and structure-specific quantitative analysis. Numerous advanced methods ranging from sample preparation to mass spectrum analysis have been developed to distinguish N-glycan structures. Chemical derivatization of monosaccharides, online liquid chromatography separation and ion mobility spectrometry enable the physical differentiation of samples. Tandem mass spectrometry further analyzes the macro/microheterogeneity of intact N-glycopeptides through the analysis of fragment ions. Moreover, the development of search engines and AI-based software has enhanced our understanding of the dissociation patterns of intact N-glycopeptides and the clinical significance of differentially expressed intact N-glycopeptides. With the help of these modern methods, structure-specific N-glycoproteomics has become an important tool with extensive applications in the biomedical field.

Abstract Small extracellular vesicles (sEVs) are important mediators of intercellular communication by transferring of functional components (proteins, RNAs, and lipids) to recipient cells. Some PTMs, including phosphorylation and N-glycosylation, have been reported to play important role in EV biology, such as biogenesis, protein sorting and uptake of sEVs. MS-based proteomic technology has been applied to identify proteins and PTM modifications in sEVs. Previous proteomic studies of sEVs from C2C12 myoblasts, an important skeletal muscle cell line, focused on identification of proteins, but no PTM information on sEVs proteins is available. In this study, we systematically analyzed the proteome, phosphoproteome, and N-glycoproteome of sEVs from C2C12 myoblasts with LC–MS/MS. In-depth analyses of the three proteomic datasets revealed that the three proteomes identified different catalogues of proteins, and PTMomic analysis could expand the identification of cargos in sEVs. At the proteomic level, a high percentage of membrane proteins, especially tetraspanins, was identified. The sEVs-derived phosphoproteome had a remarkably high level of tyrosine-phosphorylated sites. The tyrosine-phosphorylated proteins might be involved with EPH-Ephrin signaling pathway. At the level of N-glycoproteomics, several glycoforms, such as complex N-linked glycans and sialic acids on glycans, were enriched in sEVs. Retrieving of the ligand-receptor interaction in sEVs revealed that extracellular matrix (ECM) and cell adhesion molecule (CAM) represented the most abundant ligand-receptor pairs in sEVs. Mapping the PTM information on the ligands and receptors revealed that N-glycosylation mainly occurred on ECM and CAM proteins, while phosphorylation occurred on different categories of receptors and ligands. A comprehensive PTM map of ECM-receptor interaction and their components is also provided. In summary, we conducted a comprehensive proteomic and PTMomic analysis of sEVs of C2C12 myoblasts. Integrated proteomic, phosphoproteomic, and N-glycoproteomic analysis of sEVs might provide some insights about their specific uptake mechanism.

Abstract Background Aberrant glycosylation has been recognized as a hallmark of cancer and N-glycosylation is one of the main types of glycosylation in eukaryotes. Although N-glycoproteomics has made contributions to the discovery of biomarkers in a variety of cancers, less is known about the abnormal glycosylation signatures in esophageal squamous cell carcinoma (ESCC). Methods In this study, we reported the proteomics and N-glycoproteomic site-mapping analysis of eight pairs of ESCC tissues and adjacent normal tissues. With zic-HILIC enrichment, TMT-based isobaric labeling, LC–MS/MS analysis, differentially expressed N-glycosylation was quantitatively characterized. Lectin affinity enrichment combined with western blot was used to validate the potential biomarkers in ESCC. Results A series of differentially expressed glycoproteins (e.g., LAMP2, PLOD2) and enriched signaling pathways (e.g., metabolism-related pathway, ECM-receptor interaction, focal adhesion) were identified. Besides that, seven significantly enriched motifs were found from the identified N-glycosylation sites. Three clusters were identified after conducting the dynamic profiling analysis of glycoprotein change during lymph node metastasis progression. Further validation found that the elevated fucosylation level of ITGB1, CD276 contributed to the occurrence and development of ESCC, which might be the potential biomarkers in ESCC. Conclusion In summary, we characterized the N-glycosylation and N-glycoprotein alterations associated with ESCC. The typical changes in glycoprotein expression and glycosylation occupancy identified in our study will not only be used as ESCC biomarkers but also improve the understanding of ESCC biology.

Human plasma proteomic and glycoproteomic analyses have emerged as an alternate avenue to identify disease biomarkers and therapeutic approaches. However, the vast number of high-abundance proteins in plasma can cause mass spectrometry (MS) suppression, which makes it challenging to detect low-abundance proteins (LAP). Currently, immunoaffinity-based depletion methods and strategies involving nanomaterial protein coronas have been developed to remove high-abundance proteins (HAP) and enhance the depth of plasma protein identification. Despite these advancements, there is a lack of systematic comparison and evaluation of the qualitative and quantitative effects of different strategies on the human plasma proteome and glycoproteome. In this study, we evaluated the performance of four depletion methods including combinatorial peptide ligand libraries (CPLL), Top 2, Top 14, and the nanomaterial protein corona formed by magnetic nanoparticles (MN) in both plasma proteomics and N -glycoproteomics. Compared to the CPLL, Top 2, and Top 14 strategies, the MN approach significantly increased the number of identified peptides and proteins. However, it demonstrated a relatively lower efficacy in identifying intact N -glycopeptides and N -glycoproteins. In contrast, the immunoaffinity-based depletion methods are better suited to glycoproteomics due to higher identification numbers. We believe that this work provides valuable insights and options for various research objectives, as well as clinical applications.

N-Glycolylneuraminic acid (Neu5Gc) is not normally detected in humans because humans lack the hydroxylase enzyme that converts cytidine-5′-monophosphate-N-acetylneuraminic acid (CMP-Neu5Ac) to CMP-Neu5Gc; thus, any Neu5Gc appearing in the human body is aberrant. Neu5Gc has been observed in human cancer cells and tissues. Moreover, antibodies against Neu5Gc have been detected in healthy humans, which are obstacles to clinical xenotransplantation and stem cell therapies. Thus, the study of Neu5Gc in humans has important pathological and clinical relevance. Here, we report the N-glycoproteomics characterization of aberrant Neu5Gc in breast MCF-7 cancer cells and cancer stem cells (CSCs) at the molecular level of intact N-glycopeptides, including comprehensive information (peptide backbones, N-glycosites, N-glycan monosaccharide compositions, and linkage structures) based on a target-decoy theoretical database search strategy and a spectrum-level false discovery rate (FDR) control ≤1%. The existence of Neu5Gc on N-glycan moieties was further confirmed according to its characteristic oxonium fragment ions in the MS/MS spectra of either m/z 308.09816 (Neu5Gc) or 290.08759 (Neu5Gc-H2O). The results are an important addition to previously reported Neu5Ac data and can be further validated with targeted MS methods such as multiple and parallel reaction monitoring and biochemical methods such as immunoassays. This MS-based N-glycoproteomics method can be extended to the discovery and characterization of putative aberrant Neu5Gc in other biological and clinical systems.

Abstract Background C. sinensis is an important economic crop with fluoride over-accumulation in its leaves, which poses a serious threat to human health due to its leaf consumption as tea. Recently, our study has indicated that cell wall proteins (CWPs) probably play a vital role in fluoride accumulation/detoxification in C. sinensis. However, there has been a lack in CWP identification and characterization up to now. This study is aimed to characterize cell wall proteome of C. sinensis leaves and to develop more CWPs related to stress response. A strategy of combined cell wall proteomics and N-glycoproteomics was employed to investigate CWPs. CWPs were extracted by sequential salt buffers, while N-glycoproteins were enriched by hydrophilic interaction chromatography method using C. sinensis leaves as a material. Afterwards all the proteins were subjected to UPLC-MS/MS analysis. Results A total of 501 CWPs and 195 CWPs were identified respectively by cell wall proteomics and N-glycoproteomics profiling with 118 CWPs in common. Notably, N-glycoproteomics is a feasible method for CWP identification, and it can enhance CWP coverage. Among identified CWPs, proteins acting on cell wall polysaccharides constitute the largest functional class, most of which might be involved in cell wall structure remodeling. The second largest functional class mainly encompass various proteases related to CWP turnover and maturation. Oxidoreductases represent the third largest functional class, most of which (especially Class III peroxidases) participate in defense response. As expected, identified CWPs are mainly related to plant cell wall formation and defense response. Conclusion This was the first large-scale investigation of CWPs in C. sinensis through cell wall proteomics and N-glycoproteomics. Our results not only provide a database for further research on CWPs, but also an insight into cell wall formation and defense response in C. sinensis.

The tea plant (Camellia sinensis) is one of the three major beverage crops in the world with its leaves consumption as tea. However, it can hyperaccumulate fluoride with about 98% fluoride deposition in the leaves. Our previously studies found that cell wall proteins (CWPs) might play a central role in fluoride accumulation/detoxification in C. sinensis. CWP is known to be glycosylated, however the response of CWP N-glycosylation to fluoride remains unknown in C. sinensis. In this study, a comparative N -glycoproteomic analysis was performed through HILIC enrichment coupled with UPLC-MS/MS based on TMT-labeling approach in C. sinensis leaves. Totally, 237 N-glycoproteins containing 326 unique N-glycosites were identified. 73.4%, 18.6%, 6.3% and 1.7% of these proteins possess 1, 2, 3, and ≥4 modification site, respectively. 93.2% of these proteins were predicted to be localized in the secretory pathway and 78.9% of them were targeted to the cell wall and the plasma membrane. 133 differentially accumulated N-glycosites (DNGSs) on 100 N-glycoproteins (DNGPs) were detected and 85.0% of them exhibited upregulated expression after fluoride treatment. 78.0% DNGPs were extracellular DNGPs, which belonged to CWPs, and 53.0% of them were grouped into protein acting on cell wall polysaccharides, proteases and oxido-reductases, whereas the majority of the remaining DNGPs were mainly related to N-glycoprotein biosynthesis, trafficking and quality control. Our study shed new light on the N -glycoproteome study, and revealed that increased N-glycosylation abundance of CWPs might contribute to fluoride accumulation/detoxification in C. sinensis leave. • N -glycoproteomics profiling of C. sinensis was performed in this study. • 133 differentially accumulated N-glycosites on 100 N-glycoproteins were identified after fluoride treatment. • 78.0% differentially accumulated N-glycoproteins (DNGPs) were extracellular DNGPs, which belonged to cell wall proteins. • Upregulation of protein N-glycosylation should contribute to fluoride accumulation/detoxification of C. sinensis leaves. [ABSTRACT FROM AUTHOR]

Background: Aberrant glycosylation has been recognized as a hallmark of cancer and N-glycosylation is one of the main types of glycosylation in eukaryotes. Although N-glycoproteomics has made contributions to the discovery of biomarkers in a variety of cancers, less is known about the abnormal glycosylation signatures in esophageal squamous cell carcinoma (ESCC).Methods: In this study, we reported the proteomics and N-glycoproteomic site-mapping analysis of eight pairs of ESCC tissues and adjacent normal tissues. With zic-HILIC enrichment, TMT-based isobaric labeling, LC-MS/MS analysis, differentially expressed N-glycosylation was quantitatively characterized. Lectin affinity enrichment combined with western blot was used to validate the potential biomarkers in ESCC.Results: A series of differentially expressed glycoproteins (e.g., LAMP2, PLOD2) and enriched signaling pathways (e.g., metabolism-related pathway, ECM-receptor interaction, focal adhesion) were identified. Besides that, seven significantly enriched motifs were found from the identified N-glycosylation sites. Three clusters were identified after conducting the dynamic profiling analysis of glycoprotein change during lymph node metastasis progression. Further validation found that the elevated fucosylation level of ITGB1, CD276 contributed to the occurrence and development of ESCC, which might be the potential biomarkers in ESCC.Conclusion: In summary, we characterized the N-glycosylation and N-glycoprotein alterations associated with ESCC. The typical changes in glycoprotein expression and glycosylation occupancy identified in our study will not only be used as ESCC biomarkers but also improve the understanding of ESCC biology. [ABSTRACT FROM AUTHOR]

The aim of this study was to identify crucial proteins and N-glycosylated sites in the pathological mechanism of Kashin-Beck disease (KBD) compared with osteoarthritis (OA). Nine KBD knee subjects and nine OA knee subjects were selected for the study. Quantitative proteomics and N-glycoproteomics data of KBD and OA were obtained by protein and N-glycoprotein enrichment and LC-MS/MS analysis. Differentially expressed proteins or N-glycosylation sites were examined with a comparative analysis between KBD and OA. Total 2205 proteins were identified in proteomic analysis, of which 375 were significantly different. Among these, 121 proteins were up-regulated and 254 were down-regulated. In N-glycoproteomic analysis, 278 different N-glycosylated sites that were related to 187 N-glycoproteins were identified. Proteins and their N-glycosylated sites are associated with KBD pathological process including ITGB1, LRP1, ANO6, COL1A1, MXRA5, DPP4, and CSPG4. CRLF1 and GLG1 are proposed to associate with both KBD and OA pathological processes. Key pathways in KBD vs. OA proteomic and N-glycoproteomic analysis contained extracellular matrix receptor interaction, focal adhesion, phagosome, protein digestion, and absorption. N-glycosylation may influence the pathological process by affecting the integrity of chondrocytes or cartilage. It regulated the intercellular signal transduction pathway, which contributes to cartilage destruction in KBD. [ABSTRACT FROM AUTHOR]

Glycoproteins are involved in a variety of biological processes. More than one-third of the plasma protein biomarkers of tumors approved by the FDA are glycoproteins, and could improve the diagnostic specificity and/or sensitivity. Therefore, it is of great significance to perform the systematic characterization of plasma N-glycoproteome. In previous studies, we developed an integrated method based on the combinatorial peptide ligand library (CPLL) and stepped collision energy/higher energy collisional dissociation (sceHCD) for comprehensive plasma N-glycoproteome profiling. Recently, we presented a new fragmentation method, EThcD-sceHCD, which outperformed sceHCD in the accuracy of identification. Herein, we integrated the combinatorial peptide ligand library (CPLL) into EThcD-sceHCD and compared the performance of different mass spectrometry dissociation methods (EThcD-sceHCD, EThcD, and sceHCD) in the intact N-glycopeptide analysis of prostate cancer plasma. The results illustrated that EThcD-sceHCD was better than EThcD and sceHCD in the number of identified intact N-glycopeptides (two-folds). A combination of sceHCD and EThcD-sceHCD methods can cover almost all glycoproteins (96.4%) and intact N-glycopeptides (93.6%), indicating good complementarity between the two. Our study has great potential for medium- and low-abundance plasma glycoprotein biomarker discovery.

The characterization and functionality of protein glycosylation among different related species are of common interest. Herein, non‐standard quantification and N‐glycosylation enrichment technology combined with ultra‐high liquid chromatography‐tandem mass spectrometry were used to establish detailed N‐glycoproteomics of fertilized eggs, and quantitatively compared between Tibetan and lowland chicken. A total of 396N‐glycosites from 143 glycoproteins were found. Specifically, compared with lowland chicken egg white, 32N‐glycosites of 22 glycoproteins were up‐regulated and 57N‐glycosites of 25 glycoproteins were down‐regulated in Tibetan chicken egg white. Also, 137N‐glycosites in 72 glycoproteins showed much higher‐degree glycosylation and 36N‐glycosites in 15 glycoproteins displayed lower‐degree glycosylation in Tibetan chicken egg yolk than those in lowland chicken egg yolk. Through bioinformatic analysis, these varied glycoproteins were highly associated with antifreeze activity, hypoxia adaptation, coagulation cascade, and binding/immunity activities, which may be related to plateau hypoxia and cold stress. Practical applications: These findings provide a new insight on the role of biological egg N‐glycoproteins related to environmental adaptation and evolution, which may be further applied in improving egg processing and human health, by developing biomolecules for food and medical industry. [ABSTRACT FROM AUTHOR]

Chemoresistance is the major restriction on the clinical use of cisplatin. Aberrant changes in protein glycosylation are closely associated with drug resistance. Comprehensive study on the role of protein glycosylation in the development of cisplatin resistance would contribute to precise elucidation of the complicated mechanism of resistance. However, comprehensive characterization of glycosylated proteins remains a big challenge. In this work, we integrated proteomic and N-glycoproteomic workflow to comprehensively characterize the cisplatin resistance-related membrane proteins. Using this method, we found that proteins implicated in cell adhesion, migration, response to drug, and signal transduction were significantly altered in both protein abundance and glycosylation level during the development of cisplatin resistance in the non-small cell lung cancer cell line. Accordingly, the ability of cell migration and invasion was markedly increased in cisplatin-resistant cells, hence intensifying their malignancy. In contrast, the intracellular cisplatin accumulation was significantly reduced in the resistant cells concomitant with the down-regulation of drug uptake channel protein, LRRC8A, and over-expression of drug efflux pump proteins, MRP1 and MRP4. Moreover, the global glycosylation was elevated in the cisplatin-resistant cells. Consequently, inhibition of N-glycosylation reduced cell resistance to cisplatin, whereas promoting the high-mannose or sialylated type of glycosylation enhanced the resistance, suggesting that critical glycosylation type contributes to cisplatin resistance. These results demonstrate the high efficiency of the integrated proteomic and N-glycoproteomic workflow in discovering drug resistance-related targets, and provide new insights into the mechanism of cisplatin resistance. [ABSTRACT FROM AUTHOR]

Chemoresistance is the major restriction on the clinical use of cisplatin. Aberrant changes in protein glycosylation are closely associated with drug resistance. Comprehensive study on the role of protein glycosylation in the development of cisplatin resistance would contribute to precise elucidation of the complicated mechanism of resistance. However, comprehensive characterization of glycosylated proteins remains a big challenge. In this work, we integrated proteomic and N-glycoproteomic workflow to comprehensively characterize the cisplatin resistance-related membrane proteins. Using this method, we found that proteins implicated in cell adhesion, migration, response to drug, and signal transduction were significantly altered in both protein abundance and glycosylation level during the development of cisplatin resistance in the non-small cell lung cancer cell line. Accordingly, the ability of cell migration and invasion was markedly increased in cisplatin-resistant cells, hence intensifying their malignancy. In contrast, the intracellular cisplatin accumulation was significantly reduced in the resistant cells concomitant with the down-regulation of drug uptake channel protein, LRRC8A, and over-expression of drug efflux pump proteins, MRP1 and MRP4. Moreover, the global glycosylation was elevated in the cisplatin-resistant cells. Consequently, inhibition of N-glycosylation reduced cell resistance to cisplatin, whereas promoting the high-mannose or sialylated type of glycosylation enhanced the resistance, suggesting that critical glycosylation type contributes to cisplatin resistance. These results demonstrate the high efficiency of the integrated proteomic and N-glycoproteomic workflow in discovering drug resistance-related targets, and provide new insights into the mechanism of cisplatin resistance.

The tumor microenvironment has recently emerged as a critical component of high-grade serous ovarian cancer (HGSC) disease progression. Specifically, cancer-associated fibroblasts (CAFs) have been recognized as key players in various pro-oncogenic processes. Here, we use mass-spectrometry (MS) to characterize the proteomes of HGSC patient-derived CAFs and compare them to those of the epithelial component of HGSC to gain a deeper understanding into their tumor-promoting phenotype. We integrate our data with primary tissue data to define a proteomic signature of HGSC CAFs and uncover multiple novel CAF proteins that are prognostic in an independent HGSC patient cohort. Our data represent the first MS-based global proteomic characterization of CAFs in HGSC and further highlights the clinical significance of HGSC CAFs.

N-linked glycosylation, as one of the most common post-translation modification in proteins, is modified on asparagine residue among the N-X-T/S/C(X≠P) motif. N-glycans share a common core structure consisting of two N-acetylglusosamines and three mannoses, and which have three common types of high-mannose, hybrid and complex. N-glycosylation sites have both macro- and micro- heterogeneities and the function of each N-glycoylation is both site- and structure-specific. The precise site- and structure-specific identification and quantification of N-glycosylation is the main road of discovering disease diagnostic and prognostic biomarkers as well as drug targets. With the advancements in high-efficient enrichment materials, liquid chromatography separation technology, cascade mass spectrometry dissociation and detection technologies and bioinformatics database search methods, N-glycoproteomics enables high-throughput site- and structure-specific identification and quantification of N-glycosylation in complex systems. This paper mainly reviewed the basic procedures in the N-glycoproteomics pipeline including sample preparation, high-performance LC-MS/MS analysis and bioinformatics data processing as well as representative applications. [ABSTRACT FROM AUTHOR]

Background: C. sinensis is an important economic crop with fluoride over-accumulation in its leaves, which poses a serious threat to human health due to its leaf consumption as tea. Recently, our study has indicated that cell wall proteins (CWPs) probably play a vital role in fluoride accumulation/detoxification in C. sinensis. However, there has been a lack in CWP identification and characterization up to now. This study is aimed to characterize cell wall proteome of C. sinensis leaves and to develop more CWPs related to stress response. A strategy of combined cell wall proteomics and N-glycoproteomics was employed to investigate CWPs. CWPs were extracted by sequential salt buffers, while N-glycoproteins were enriched by hydrophilic interaction chromatography method using C. sinensis leaves as a material. Afterwards all the proteins were subjected to UPLC-MS/MS analysis. Results: A total of 501 CWPs and 195 CWPs were identified respectively by cell wall proteomics and N-glycoproteomics profiling with 118 CWPs in common. Notably, N-glycoproteomics is a feasible method for CWP identification, and it can enhance CWP coverage. Among identified CWPs, proteins acting on cell wall polysaccharides constitute the largest functional class, most of which might be involved in cell wall structure remodeling. The second largest functional class mainly encompass various proteases related to CWP turnover and maturation. Oxidoreductases represent the third largest functional class, most of which (especially Class III peroxidases) participate in defense response. As expected, identified CWPs are mainly related to plant cell wall formation and defense response. Conclusion: This was the first large-scale investigation of CWPs in C. sinensis through cell wall proteomics and N-glycoproteomics. Our results not only provide a database for further research on CWPs, but also an insight into cell wall formation and defense response in C. sinensis. [ABSTRACT FROM AUTHOR]

Isotopic-labeling quantitative N-glycoproteomics characterization of cell-surface differentially expressed N-glycosylation in MCF-7/ADR cancer stem cells (CSCs) relative to MCF-7/ADR cells was carried out at the intact N-glycopeptide level with trypsin digestion, ZIC-HILIC enrichment, isotopic diethyl labeling, RPLC-MS/MS analysis of the 1:1 mixture, and GPSeeker DB search. With a spectrum-level false discovery rate of ≤ 1%, 1,336 intact N-glycopeptides from the combination of 301 unique peptide backbones and 169 putative N-glycan linkages (52 monosaccharide compositions) were identified; the corresponding intact N-glycoproteins and N-glycosites were 289 and 305, respectively, among which 176 N-glycosites were confirmed with GlcNAc-containing site-determining b/y fragment ion pairs. The N-glycan moieties in 546 intact N-glycopeptide IDs were identified with more than one structure-diagnostic fragment ions where multiple linkage structures exist for each of the monosaccharide compositions. With the criteria of ≥ 1.5-fold change and p value < 0.05, 72 cell-surface differentially expressed intact N-glycopeptides (DEGPs) were found in MCF-7/ADR CSCs relative to MCF-7/ADR cells, where 8 and 64 were downregulated and upregulated, respectively. [ABSTRACT FROM AUTHOR]

Protein post-translational modifications (PTMs) are crucial in plant cellular processes, particularly in protein folding and signal transduction. N-glycosylation and phosphorylation are notably significant PTMs, playing essential roles in regulating plant responses to environmental stimuli. However, current sequential enrichment methods for simultaneous analysis of phosphoproteome and N-glycoproteome are labor-intensive and time-consuming, limiting their throughput. Addressing this challenge, this study introduces a novel tandem S-Trap-IMAC-HILIC (S-Trap: suspension trapping; IMAC: immobilized metal ion affinity chromatography; HILIC: hydrophilic interaction chromatography) strategy, termed TIMAHAC, for simultaneous analysis of plant phosphoproteomics and N-glycoproteomics. This approach integrates IMAC and HILIC into a tandem tip format, streamlining the enrichment process of phosphopeptides and N-glycopeptides. The key innovation lies in the use of a unified buffer system and an optimized enrichment sequence to enhance efficiency and reproducibility. The applicability of TIMAHAC was demonstrated by analyzing the Arabidopsis phosphoproteome and N-glycoproteome in response to abscisic acid (ABA) treatment. Up to 1954 N-glycopeptides and 11,255 phosphopeptides were identified from Arabidopsis, indicating its scalability for plant tissues. Notably, distinct perturbation patterns were observed in the phosphoproteome and N-glycoproteome, suggesting their unique contributions to ABA response. Our results reveal that TIMAHAC offers a comprehensive approach to studying complex regulatory mechanisms and PTM interplay in plant biology, paving the way for in-depth investigations into plant signaling networks., Competing Interests: Conflict of interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

N -glycosylation is a common protein post translation modification, which has tremendous structure diversity and wide yet delicate regulation of protein structures and functions. Mass spectrometry-based N -glycoproteomics has become a state-of-the-art pipeline for both qualitative and quantitative characterization of N -glycosylation at the intact N -glycopeptide level, providing comprehensive information of peptide backbones, N -glycosites, monosaccharide compositions, sequence and linkage structures. For high-throughput analysis of large-cohort clinic samples, fast and high-performance separation is indispensable. Here we report our development of 1-h liquid chromatography gradient N -glycoproteomics method and accordingly optimized MS parameters. In the benchmark analysis of cancer and paracancerous tissue of hepatocellular carcinoma, 5,218 intact N -glycopeptides were identified, where 422 site- and structure-specific differential N -glycosylation on 145 N -glycoproteins was observed. The method, representing substantial increase of throughput, can be adopted for fast and efficient analysis of N -glycoproteomes at large scale. [Display omitted] • One-hour N -glycoproteomics with 1-h gradient is developed for fast analysis. • 85 % more IDs was achieved per elution time than previous 4-h gradient. • Fast N -glycoproteomics may find wide application of large-cohort study. [ABSTRACT FROM AUTHOR]

N-glycosylation is an important post-translational modification necessary to maintain the structural and functional properties of proteins. Impaired N-glycosylation has been observed in several diseases. It is significantly modified by the state of cells and is used as a diagnostic or prognostic indicator for multiple human diseases, including cancer and osteoarthritis (OA). Aim of the study was to explore the N-glycosylation levels of subchondral bone proteins in patients with primary knee OA (KOA) and screen for potential biological markers for the diagnosis and treatment of primary KOA. A comparative analysis of total protein N-glycosylation under the cartilage was performed in medial subchondral bone (MSB, N = 5) and lateral subchondral bone (LSB, N = 5) specimens from female patients with primary KOA. To analyse the N-glycosylation sites of the proteins, non-labelled quantitative proteomic and N-glycoproteomic analyses were performed based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) data. Parallel reaction monitoring (PRM) validation experiments were carried out on differential N-glycosylation sites of proteins in selected specimens, including MSB (N = 5) and LSB (N = 5), from patients with primary KOA. In total, 1149 proteins with 1369 unique N-chain glycopeptides were detected, and 1215 N-glycosylation sites were found, in which ptmRS scores for 1163 N-glycosylation sites were ≥ 0.9. In addition, N-glycosylation of the total protein in MSB compared to that in LSB was identified, in which 295 N-glycosylation sites were significantly different, including 75 upregulated and 220 downregulated N-glycosylation sites in MSB samples. Importantly, Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analyses of proteins with differential N-glycosylation sites showed that they were primarily associated with metabolic pathways including ECM-receptor interactions, focal adhesion, protein digestion and absorption, amoebiasis, and complement and coagulation cascades. Finally, PRM experiments confirmed the N-glycosylation sites of collagen type VI, alpha 3 (COL6A3, VAVVQHAPSESVDN[+3]ASMPPVK), aggrecan core protein (ACAN, FTFQEAAN[+3]EC[+57]R, TVYVHAN[+3]QTGYPDPSSR), laminin subunit gamma-1 (LAMC1, IPAIN[+3]QTITEANEK), matrix-remodelling-associated protein 5 (MXRA5, ITLHEN[+3]R), cDNA, FLJ92775, highly similar to Homo sapiens melanoma cell adhesion molecule (MCAM), mRNA(B2R642, C[+57]VASVPSIPGLN[+3]R), and aminopeptidase fragment (Q59E93, AEFN[+3]ITLIHPK) in the array data of the top 20 N-glycosylation sites. These abnormal N-glycosylation patterns provide reliable insights for the development of diagnostic and therapeutic methods for primary KOA. [Display omitted] • N-glycosylation of proteins are widely involved in primary KOA. • N-glycosylation of COL6A3 is highly expressed in MSB compared to LSB in primary KOA. • N-glycosylation of ACAN is decreased in MSB compared to LSB in primary KOA. • N-glycosylation of MXRA5 is highly expressed in MSB compared to LSB in primary KOA. • N-glycosylation of proteins may potential biological markers of primary KOA. [ABSTRACT FROM AUTHOR]

N-linked glycosylation (N-glycosylation) is a common protein post-translational modification, occurring on more than half of mammalian proteins; in striking contract with small molecule modifications (such as methylation, phosphorylation) with only single structures, N-glycosylation has multiple dimensional structural features (monosaccharide composition, sequence, linkage, anomer), which generates enormous N-glycan structures; and these structures widely regulate protein structure and functions. For the modification site, N-glycosylation occurs on the Asn residue among the consensus N-X-S/T/C (X≠P) motif; mutation-originated amino acid change may lead to loss of such an original motif and thus loss-of-glycosylation (LoG) or gain of such a new motif and thus gain-of-glycosylation (GoG). Both LoG and GoG generates new structures and functions of glycoproteins, which has been observed in the S protein of SARS-Cov-2 as well as malignant diseases. Here we report our glycoproteome-wide qualitative N-glycoproteomics characterization of GoGs in breast cancer Adriamycin drug resistance (ADR) cells (MCF-7/ADR) and cancer stem cells (MCF-7/ADR CSCs); comprehensive N-glycosite and N-glycan structure information at the intact N-glycopeptide level were reported. [Display omitted] • The method of building the putative gain-of-glycosylation (GoG) protein database is established • The glycoproteome level characterization of GoGs is benchmarked with two cell lines • GoGs from common mutations including MUTAGEN, VARIANT and VAR_SEQ are demonstrated. [ABSTRACT FROM AUTHOR]

Rheumatoid arthritis (RA) is a typical autoimmune disease characterized by synovial inflammation, synovial tissue hyperplasia, and destruction of bone and cartilage. Protein glycosylation plays key roles in the pathogenesis of RA but in-depth glycoproteomics analysis of synovial tissues is still lacking. Here, by using a strategy to quantify intact N-glycopeptides, we identified 1260 intact N-glycopeptides from 481 N-glycosites on 334 glycoproteins in RA synovium. Bioinformatics analysis revealed that the hyper-glycosylated proteins in RA were closely linked to immune responses. By using DNASTAR software, we identified 20 N-glycopeptides whose prototype peptides were highly immunogenic. We next calculated the enrichment scores of nine types of immune cells using specific gene sets from public single-cell transcriptomics data of RA and revealed that the N-glycosylation levels at some sites, such as IGSF10&#95;N2147, MOXD2P&#95;N404, and PTCH2&#95;N812, were significantly correlated with the enrichment scores of certain immune cell types. Furthermore, we showed that aberrant N-glycosylation in the RA synovium was related to increased expression of glycosylation enzymes. Collectively, this work presents, for the first time, the N-glycoproteome of RA synovium and describes immune-associated glycosylation, providing novel insights into RA pathogenesis., Competing Interests: Conflict of interest The authors declare no competing interests., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Being part of the human diet, peach is an important fruit consumed worldwide. In the present study, a systematic first insight into the N-glycosylation of peach fruit during ripening was provided. First, N-glycome by reactive matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry indicated that 6 of 24 N-glycans of peach were differentially expressed. Second, a comparative N-glycoproteome was characterized via 18 O-tagged N-glycosylation site labeling followed by nano-liquid chromatography-electrospray ionization-tandem mass spectrometry (nLC-ESI-MS/MS). Totally 1464 N-glycosites on 881 N-glycoproteins were identified, among which 291 N-glycosites on 237 N-glycoproteins were expressed differentially with a fold change value of 1.5 or 0.67. The enrichment analysis of GO and KEGG revealed that four pathways including other glycan degradation, phenylpropanoid biosynthesis, amino sugar and nucleotide sugar metabolism, and protein processing in endoplasmic reticulum were mainly enriched, in which several important N-glycoproteins with dynamic change during fruit ripening were further screened out. Our findings on a large scale for N-glycosylation analysis of peach fruit during ripening may provide new molecular insights for comprehending N-glycoprotein functions, which should be of great interest to both glycobiologists and analytical chemists.

Aberrant glycosylation of membrane proteins is a hallmark of cancer and a useful molecular marker for the diagnosis of breast cancer (BC). However, the molecular mechanisms by which altered glycosylation affects the malignant transformations associated with BC are poorly understood. Accordingly, we performed comparative membrane N -glycoproteomics using the human BC cell line pair, Hs578T, and its syngeneic normal cell line, Hs578Bst. A total of 359 N -glycoforms derived from 113 proteins were identified in both cell lines, of which 27 were found only in Hs578T cells. Significant changes in N -glycosylation were found in the lysosome-associated membrane protein 1 (LAMP1), the integrin family, and laminin. Confocal immunofluorescence microscopy images revealed the accumulation of lysosomes in the perinuclear space in cancer cells, which could be associated with marked changes in LAMP1 glycosylation, such as a decreased level of polylactosamine chains. Overall, the alterations in glycosylation may be involved in changes in the adhesion and degradation of BC cells., (Copyright © 2023 Daisuke Takakura, Haruka Yoshida, Shoko Ohashi, and Nana Kawasaki.)

The detailed characterization of site-specific glycosylation requires the identification of glycan composition and specific attachment sites on proteins, which need the identification of intact glycopeptides by mass spectrometry. In this study, we present an analytical and computational strategy for the high throughput characterization of intact N-glycopeptides derived from complex proteome samples. N-glycopeptides were identified using the spectra acquired for intact glycopeptides as well as de-glycopeptides. The Y1 ion (peptide + GlcNAc) was accurately determined from the spectra of intact glycopeptides, and the structure of glycan was then identified by searching a constructed glycan database with calculated molecular weight of glycans and their fragment ions. The peptide sequences of intact glycopeptides were identified by matching the molecular weight calculated from Y1 ion to that of deglycosylated peptides from the same HILIC enrichment and identified by a separated LC–MS/MS analysis. The fully automated software platform integrates all of the above processes involved in the identification of the intact N-glycopeptides. This platform was applied to detailed characterization of site-specific glycosylation in HEK 293T cells, which led to the identification of 2249 unique intact N-glycopeptides. These intact glycopeptides revealed 1769 site-specific N-glycans on 453 glycosylation sites which demonstrated the high heterogeneity of glycosylations. Biological significance We presented a fully automated software platform for the high throughput characterization of intact N-glycopeptides derived from complex proteome samples. Intact glycopeptides and their deglycosylated forms were identified respectively and combined according to the commonality of molecular weights of peptide backbones. The strong correlation of retention times effectively filtered out random matches. The reliability of this strategy was carefully evaluated which showed a probability of random matches less than 1%. In total, 2249 intact glycopeptides were identified which is by the far the largest dataset among the studies of N-glycoproteomics. [ABSTRACT FROM AUTHOR]

Abstract: Most secreted proteins in eukaryotes are modified on the amino acid consensus sequence NxS/T by an N-glycan through the process of N-glycosylation. The N-glycans on glycoproteins are processed in the endoplasmic reticulum (ER) to different mannose-type N-glycans or, when the protein passes through the Golgi apparatus, to different complex glycan forms. Here we describe the capturing of N-glycopeptides from a trypsin digest of total protein extracts of Arabidopsis plants and release of these captured peptides following Peptide N-glycosidase (PNGase) treatment for analysis of N-glycan site-occupancy. The mixture of peptides released as a consequence of the PNGase treatment was analyzed by two dimensional nano-LC–MS. As the PNGase treatment of glycopeptides results in the deamidation of the asparagine (N) in the NxS/T site of the released peptide, this asparagine (N) to aspartic acid (D) conversion is used as a glycosylation ‘signature’. The efficiency of PNGase F and PNGase A in peptide release is discussed. The identification of proteins with a single glycopeptide was limited by the used search algorithm but could be improved using a reference database including deamidated peptide sequences. Additional stringency settings were used for filtering results to minimize false discovery. This resulted in identification of 330 glycopeptides on 173 glycoproteins from Arabidopsis, of which 28 putative glycoproteins, that were previously not annotated as secreted protein in The Arabidopsis Information Resource database (TAIR). Furthermore, the identified glycosylation site occupancy helped to determine the correct topology for membrane proteins. A quantitative comparison of peptide signal was made between wild type and complex-glycan-less (cgl) mutant Arabidopsis from three replicate leaf samples using a label-free MS peak comparison. As an example, the identified membrane protein SKU5 (AT4G12420) showed differential glycopeptide intensity ratios between WT and cgl indicating heterogeneous glycan modification on single protein. Biological significance: Proteins that enter the secretory pathway are mostly modified by N-glycans. The function of N-glycosylation has been well studied in mammals. However, in plants the function of N-glycosylation is still unclear, because glycosylation mutants in plants often do not have a clear phenotype. Here we analyzed which proteins are modified by N-glycans in plants by developing a glycopeptide enrichment method for plant proteins. Subsequently, label free comparative proteomics was employed using protein fractions from wild type and from a mutant which is blocked in modification of the N-glycan into complex glycans. The results provide new information on N-glycosylation sites on numerous secreted proteins. Results allow for specific mapping of multiple glycosylation site occupancy on proteins, which provides information on which glycosylation sites are protected or non-used from downstream processing and thus presumably are buried into the protein structure. Glycoproteomics can therefore contribute to protein structure analysis. Indeed, mapping the glycosylation sites on membrane proteins gives information on the topology of protein folds over the membrane. We thus were able to correct the topology prediction of three membrane proteins. Besides, these studies also identified limitations in the software that is used to identify single modified peptide per protein. This article is part of a Special Issue entitled: Translational Plant Proteomics. [Copyright &y& Elsevier]

• Site- and structure-specific identification of N-glycosylation of Arabidopsis at the intact N-glycopeptide level. • With spectrum-level FDR ≤ 1%, 5,687 intact N-glycopeptides coming from 3,713 N-glycosites of 3,140 N-glycoproteins were identified. • With structure-diagnostic fragment ions as experimental evidence, monosaccharide sequence structures of N-glycans on 630 intact N-glycopeptides were unambiguously distinguished from the other sequence isomers with the same monosaccharide compositions. The N-glycosylation is an important bioprocess in plant. Monosaccharide composition-level characterization at the intact N-glycopeptides has been extensively reported, yet structure-specific study to resolve multiple sequence structures of a single composition is still lacking. Here, we present a comprehensive structure-specific identification of intact N-glycopeptides of Arabidopsis with both HILIC and RAX enrichment, as well as GPSeeker and pGlyco database search. With target-decoy searches and spectrum-level FDR ≤ 1%, 5,687 N-glycopeptides from 3,713 N-glycosites of 3,140 N-glycoproteins were identified, which represents the currently most comprohensive profilling to our best knowledge. Wtih the experimental evidence support of structure-diagnostic fragment ions, 81 glycan structures from 54 glcan compostions were unambiguouly distinguished. The comprehensive experimental site- and structure-specific N-glycosylation data reported in this study will serve as a fundamental valuable reference for the coming functional studies of this widely adopted model organism of plant. [ABSTRACT FROM AUTHOR]

Breast cancer is one of the most malignant diseases among females. N-glycoproteomics studies have shown that N-glycosylation alteration of tumor cells is the key player of cancer progression, multidrug resistance (MDR) and high mortality. Cancer stem cells (CSCs) have the remarkable potential of self-renewing and differentiation which leads to drug resistance and metastasis. To investigate the differentially expressed N-glycosylation in adriamycin-resistant breast cancer stem cells MCF-7/ADR CSCs (relative to MCF-7 CSCs) and find the putative biomarkers, 1:1 paired ZIC-HILIC-enriched and stable isotopic diethyl labelled (SIDE) intact N-glycopeptides from MCF-7/ADR CSCs and MCF-7 CSCs were analyzed with C18-RPLC-ESI-MS/MS (HCD with stepped NCE); differentially expressed intact N-glycopeptides (DEGPs) were identified and quantified via search engine GPSeeker. With control of spectrum-level FDR≤1%, 5515 intact N-glycopeptides were identified (1737 N-glycosites, 1705 peptide backbones and 1516 intact N-glycoproteins; 181 putative N-glycan linkages and 68 monosaccharide compositions). Among 5515 intact N-glycopeptide IDs, 3864 were identified with glycoform score≥1, i.e., one or more structure-diagnostic fragment ions were observed to distinguish sequence isomers. With the three technical replicates and the criteria of fold change≥1.5 and p value<0.05, 380 DEGPs (corresponding to 153 intact N-glycoproteins) were found along with 293 down-regulated and 87 up-regulated. For these 153 intact N-glycoproteins, the molecular functions and biological processes of were comprehensively discussed, and side-to-side comparison of differential expression results with other method were also made. • Among 5515 IDs, 380 DEGPs (fold change≥1.5 and p<0.05) were found as putative N-glycoprotein drug resistance biomarkers. • With control of no less than 1.5-fold change and p < 0.05. 380 DEGPs (corresponding to 153 intact N-glycoproteins) were found along with 293 down-regulated and 87 up-regulated. • These 153 intact N-glycoproteins were found as putative N-glycoprotein drug resistance biomarkers candidates for further biological validation and final understanding of the drug resistance mechanisms. [ABSTRACT FROM AUTHOR]

Protein N-glycosylation plays an essential role on cancers and other pathological processes. Its structural and functional studies rely on complete qualitative and quantitative information. Thus, it is important to quantify differentially expressed intact N-glycopeptides (DEGPs) at their molecular level. Here we report our application of stable isotopic diethyl labeling (SIDE) of amino groups for relative quantitation of intact N-glycopeptides. The amino groups from both the N-terminal and lysine residues of N-glycopeptides were diethylated with XH 3 XHO (X = 13C or C) and NaBH 3 CN. A linear quantitation dynamic range up to 50-fold was obtained with R2 = 0.9985 with intact N-glycopeptides from standard glycoprotein ribonuclease B (RNase B). In proof-of-principle comparative N-glycoproteomics study of aberrant N-glycosylation of gastric cancer tissues vs. adjacent tissues using SIDE, 644 DEGPs (≥1.5-fold change, p < 0.05, p was calculated using t-test) were discovered. With its accuracy and big dynamic range, SIDE can be applied to quantitative study of any aberrant glycosylation at the intact glycopeptide level. Image 1 • Reductive stable isotopic diethylation (SIDE) was developed for relative quantitation of intact N-glycopeptides. • A linear quantitation dynamic range up to 50-fold was obtained with R2 = 0.9985. • In characterization of differential N-glycosylation in gastric cancer tissues vs. adjacent tissues, 644 DEGPs were discovered. [ABSTRACT FROM AUTHOR]

Protein N-glycosylation plays a vital role in diverse cellular processes, and dysregulated N-glycosylation is implicated in a variety of human diseases including neurodegenerative disorders and cancer. With recent advances in high-resolution mass spectrometry-based glycoproteomics technologies enabling large-scale N-glycoproteome profiling of disease and control samples, analysis of the large datasets has become a challenge. Here, we provide a protocol for the systems-level analysis of in vivo N-glycosylation sites on N-glycosylated proteins and their changes in human disease, such as Alzheimer's disease. The protocol includes quantitation and differential analysis of N-glycopeptide abundance, in addition to integrative N-glycoproteome and proteome data analyses, to determine disease-associated changes in N-glycosylation site occupancy and identify differentially N-glycosylated proteins in human disease versus control samples. This protocol can be modified and applied to study proteome-wide N-glycosylation alterations in response to different cellular stresses or pathophysiological states in other organisms or model systems., Competing Interests: Competing interestsThe authors declare that they have no competing interests., (Copyright © 2021 The Authors; exclusive licensee Bio-protocol LLC.)

N-glycoproteins are involved in various biological processes. Certain distinctive glycoforms on specific glycoproteins enhance the specificity and/or sensitivity of cancer diagnosis. Therefore, the characterization of plasma N - glycoproteome is essential for a new biomarker discovery. The absence of suitable analytical methods for in-depth and large-scale analyses of low-abundance plasma glycoproteins makes it challenging to investigate the role of glycosylation. In this study, we developed an integrated method termed Glyco-CPLL, which integrates combinatorial peptide ligand libraries, high-pH reversed-phase prefractionation, hydrophilic interaction chromatography, trypsin and PNGase F digestion, shotgun proteomics, and various analysis software (MaxQuant and pGlyco2.0) for the low-abundance plasma glycoproteomic profiling. Then, we utilized the method to perform a comparative study and to explore papillary thyroid carcinoma-related proteins and glycosylations with reference to healthy controls. Finally, a large and comprehensive human plasma N - glycoproteomic database was established, containing 786 proteins, 369 N - glycoproteins, 862 glycosites, 171 glycan compositions, and 1644 unique intact N - glycopeptides. Additionally, several low-abundance plasma glycoproteins were identified, including SVEP1 (∼0.54 ng/mL), F8 (∼0.83 ng/mL), and ADAMTS13 (∼1.2 ng/mL). These results suggest that this method will be useful for analyzing plasma intact glycopeptides in future studies. Besides, the Glyco-CPLL method has a great potential to be translated to clinical applications. Data are available via ProteomeXchange with identifier PXD016428.

Purpose: There are no blood biomarkers to detect early-stage oral cavity squamous cell carcinoma (OSCC) prior to clinical signs. Most OSCC incidence is associated with significant morbidity and poor survival. The authors aimed to use mass-spectrometry (MS) technology to find specific N-glycopeptides potentially serving as serum biomarkers for preclinical OSCC screening., Experimental Design: Serum samples from 14 patients treated for OSCC (stage I or stage IV) with 12 age- and sex-matched controls are collected. Quantitative label-free N-glycoproteomics is performed, with MS/MS analysis of the statistically significantly different N-glycopeptides., Results: Combined with a database search using web-based software (GlycopeptideID), MS/MS provided detailed N-glycopeptide information, including glycosylation site, glycan composition, and proposed structures. Thirty-eight tryptic N-glycopeptides are identified, having 19 unique N-glycosylation sites representing 14 glycoproteins. OSCC patients, including stage I tumors, can be differentiated from healthy controls based on the expression levels of these glycoforms. N-glycopeptides of IgG1, IgG4, haptoglobin, and transferrin have statistically significant different abundances between cases and controls., Conclusions and Clinical Relevance: The authors are the first to suggest specific N-glycopeptides to serve as potential serum biomarkers to detect preclinical OSCC in patients. These N-glycopeptides are the lead candidates for validation as future diagnostic modalities of OSCC as early as stage I., (© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

The analysis of the cell surface accessible proteome provides invaluable information about cellular identity, cellular functions, and interactions. Cell surface labeling in combination with quantitative proteomics enables the unbiased identification and quantification of cell surface proteins. We describe a fast, efficient, and robust protocol for the enrichment of the N-linked plasma membrane glycoproteome and subsequent analysis by mass spectrometry. Precise and multiplexed quantification of relative changes of cell surface protein presentation is enabled by an isobaric labeling strategy.

Unlabelled: Glycoproteomics is greatly developed in recent years and big data of N-glycoproteome in mammalian tissues and cells were already established. However, the glycoproteomic studies on plant, fungus and bacteria are far left behind. In this study, we comprehensively mapped and quantified the N-glycosylation of Fusarium graminearum by combining stable isotope dimethyl labeling, hydrophilic interaction chromatography (HILIC) and high-resolution mass spectrometry. The N-glycosylation changes in Fusarium graminearum after fungicide treatment were extensively studied. Altogether we identified 927 N-glycopeptides, corresponding to 406 proteins and 774 sites and the glycosylation level was found to be largely down-regulated upon fungicide treatment. With the help of advanced bioinformatics, it was found that the N-glycoproteome changes were highly enriched in cell wall, membrane and extracellular regions. Moreover, the fungal metabolism, protein and glycosylation synthesis, and protease and glycosyl-transferase activity were all closely related with the down-regulated proteins, indicates that fungicide may affect fungal development in these aspects. These results will be useful for future studies on fungal biology. The established system for N-glycoproteome quantification has comparative or better performance compared with previous strategies and will be helpful in N-glycoproteomics of fungus and other species., Significance: We developed a robust HILIC-based system for N-glycoproteome quantification in fungus and established the largest quantitative N-glycosylation dataset in fungus, showing the high performance of the new system. The identified N-glycoproteins were proved to be high confident due to the high percentage of proteins in extracellular region and plasma. The quantification results were also accuracy and reproducible in two replicates. By the help of advanced bioinformatic tools, the obtained data was systematically analyzed. It was found that the N-glycosylation level was largely changed in cell wall, membrane and extracellular regions. Moreover, the cell metabolism, protein synthesis, and protease activity were also greatly deceased after fungicide treatment., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Cancer cell metastasis is a major cause of cancer fatality. But the underlying molecular mechanisms remain incompletely understood, which results in the lack of efficient diagnosis, therapy and prevention approaches. Here, we report a systematic study on the secretory proteins (secretome) and secretory N-glycoproteins (N-glycosecretome) of four human hepatocellular carcinoma (HCC) cell lines with different metastatic potential, to explore the molecular mechanism of metastasis and supply the clues for effective measurement of diagnosis and therapy. Totally, 6242 unique gene products (GPs) and 1637 unique N-glycosites from 635 GPs were confidently identified. About 4000 GPs on average were quantified in each of the cell lines, 1156 of which show differential expression (p<0.05). Ninety-nine percentage of the significantly altered proteins were secretory proteins and proteins correlated to cell movement were significantly activated with the increasing of metastatic potential of the cell lines. Twenty-three GPs increased both in the secretome and the N-glycosecretome were chosen as candidates and verified by western blot analysis, and 10 of them were chosen for immunohistochemistry (IHC) analysis. The cumulative survival rates of the patients with candidate (FAT1, DKK3) suggested that these proteins might be used as biomarkers for HCC diagnosis. In addition, a comparative analysis with the published core human plasma database (1754 GPs) revealed that there were 182 proteins not presented in the human plasma database but identified by our studies, some of which were selected and verified successfully by western blotting in human plasma., Competing Interests: There is no conflict of interest.

Seminal plasma aids sperm by inhibiting premature capacitation, helping in the intracervical transport and formation of an oviductal sperm reservoir, all of which appear to be important in the fertilization process. Epitopes such as Lewis x and y are known to be present on seminal plasma glycoproteins, which can modulate the maternal immune response. It is suggested by multiple studies that seminal plasma glycoproteins play, largely undiscovered, important roles in the process of fertilization. We have devised a strategy to analyze glycopeptides from a complex, unknown mixture of protease-digested proteins. This analysis provides identification of the glycoproteins, glycosylation sites, glycan compositions, and proposed structures from the original sample. This strategy has been applied to human seminal plasma total glycoproteins. We have elucidated glycan compositions and proposed structures for 243 glycopeptides belonging to 73 N-glycosylation sites on 50 glycoproteins. The majority of the proposed glycan structures were complex type (83%) followed by high-mannose (10%) and then hybrid (7%). Most of the glycoproteins were either sialylated, fucosylated, or both. Many Lewis x/a and y/b epitopes bearing glycans were found, suggesting immune-modulating epitopes on multiple seminal plasma glycoproteins. The study also shows that large scale N-glycosylation mapping is achievable with current techniques and the depth of the analysis is roughly proportional to the prefractionation and complexity of the sample.