Dataset Information

Glyco-DIA: a method for quantitative O-glycoproteomics with in silico-boosted glycopeptide libraries

ABSTRACT: We report a LC-MS/MS O-glycoproteomics strategy using Data Independent Acquisition (DIA) mode that holds the potential for enabling direct analysis of O-glycoproteins with characterization of sites and structures of O-glycans on a proteome-wide scale with quantification of stoichiometries. To explore the use of a DIA strategy for O-glycoproteomics, we built a spectral library of O-glycopeptides with the most common core1 O-glycan structures. This Glyco-DIA library consists of sublibraries obtained from cell lines and human serum, and it currently covers 2,076 O-glycoproteins (11,452 unique glycopeptide sequences) and the five most common core1 O-glycan structures. Applying the Glyco-DIA library to human serum without enrichment for glycopeptides enabled us to identify and quantify nearly 293 distinct glycopeptide sequences bearing up to 5 different core1 O-glycans from 159 glycoproteins in a singleshot analysis. The DIA method is expandable and widely applicable to different glycoproteomes, and it may represent the first direct and comprehensive approach to glycoproteomics.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

SUBMITTER: Sergey Vakhrushev

LAB HEAD: Sergey Vakhrushev

PROVIDER: PXD011063 | Pride | 2019-11-19

REPOSITORIES: Pride

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			Action	DRS
	170413_Fusion_LC2_Zilu_Hek_WT_Trypsin_Jacalin_HRM_2h_HCD_DDA_High_pH_1.raw	Raw
	170413_Fusion_LC2_Zilu_Hek_WT_Trypsin_Jacalin_HRM_2h_HCD_DDA_High_pH_12_170416033748.raw	Raw
	170413_Fusion_LC2_Zilu_Hek_WT_Trypsin_Jacalin_HRM_2h_HCD_DDA_High_pH_12_20Perq_T_Tn.msf	Msf
	170413_Fusion_LC2_Zilu_Hek_WT_Trypsin_Jacalin_HRM_2h_HCD_DDA_High_pH_13.raw	Raw
	170413_Fusion_LC2_Zilu_Hek_WT_Trypsin_Jacalin_HRM_2h_HCD_DDA_High_pH_14.raw	Raw

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Glyco-DIA: a method for quantitative O-glycoproteomics with in silico-boosted glycopeptide libraries.

Ye Zilu Z Mao Yang Y Clausen Henrik H Vakhrushev Sergey Y SY

Nature methods 20190805 9

We report a liquid chromatography coupled to tandem mass spectrometry O-glycoproteomics strategy using data-independent acquisition (DIA) mode for direct analysis of O-glycoproteins. This approach enables characterization of glycopeptides and structures of O-glycans on a proteome-wide scale with quantification of stoichiometries (though it does not allow for direct unambiguous glycosite identification). The method relies on a spectral library of O-glycopeptides; the Glyco-DIA library contains su ...[more]

PMID: 31384044

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Project description:Glycosylation is an abundant post-translational modification of both intracellular and extracellular proteins [1]. The majority of glycans are classified as N-linked chains, where the carbohydrate moiety is attached to asparagine residues, or O-linked chains, most commonly linked to a serine or threonine. N-linked glycosylation is initiated by the oligosaccharyltransferase complex with only two paralogs of the catalytic subunit, whereas O-glycan initiation is more complex. There are several types of O-linked glycosylation, but among the most diverse is the mucin or GalNAc type (hereafter referred to as O-glycosylation). O-glycosylation is initiated by 20 evolutionarily conserved polypeptide GalNAc-transferases (GalNAc-Ts), which catalyze the first step in the O-glycosylation of proteins by adding GalNAc residues to threonine, serine, and tyrosine amino acids (Fig 1A). Each of the GalNAc-Ts are differentially expressed in various tissues and have both distinct and overlapping peptide substrate specificities [2-12]. Thus, the repertoire of GalNAc-Ts expressed in a given cell determines the subset and O-glycosite pattern of glycosylated proteins [13]. Substantial efforts have been made to characterize and predict the substrate specificities of GalNAc-Ts in vitro, but understanding of the in vivo specificities of the individual GalNAc-Ts or their biological functions is limited [13-15]. This lack of insight prevents an understanding of how site-specific O-linked glycosylation affects diseases, such as metabolic disorders, cardiovascular disease, and various malignancies, that have been associated with GalNAc-Ts through genome-wide association studies and other linkage studies [16-26]. Therefore, it is imperative that we establish how O-glycosylation at specific sites in proteins affects protein function. A major task in achieving this goal is to identify the non-redundant biological functions of site-specific O-glycosylation. We and others recently developed new strategies for identifying specific sites on proteins that undergo O-glycosylation in different cell types and tissues [27-31]. Characterization of the O-glycoproteomic landscape in isolated human cells and multiple human cell lines suggests that more than 80 % of all proteins that traffic through the secretory pathway are O-glycoproteins [28, 30]. Probing the non-redundant contributions of individual GalNAc-Ts in cells with and without specific GalNAc-Ts [32-34] has revealed broad substrate specificities for some of the individual isoforms, whereas others seem to have very restricted substrate specificities [33-35]. Assessing all of the mapped O-glycosylation sites to identify associations between O-glycosites and protein annotations, we recently found that O-glycans are over-represented close to tandem repeat regions, protease cleavage sites, within propeptides, and on a select group of protein domains [28, 30, 36]. Although such general associations between the location of O-glycans and protein functions may direct future investigations, the strategy does not define the function of site-specific glycosylation. Further progress in discovering and defining novel functions of site-specific glycosylation events requires direct quantitative analysis of potential biological responses induced by the loss of distinct GalNAc-T isoforms, and such biological responses are not easily observed in single cell culture systems. Instead, more complex model systems can be used to examine and dissect the molecular mechanisms underlying the important biological functions of site-specific glycosylation. We previously used an organotypic tissue model equipped with genetically engineered cells to decipher the function of elongated O-glycans [29]. In the present study, we use the model combined with quantitative O-glycoproteomics and phosphoproteomics to perform open-ended discovery of the biological functions of site-specific glycosylation governed by GalNAc-Ts (Fig 1B). With this combinatorial strategy, we demonstrate that loss of individual GalNAc-T isoforms has distinct phenotypic consequences through their effect on distinct biological pathways, suggesting specific roles during epithelial formation.

Project description:A large family of GalNAc transferases (GalNAc-Ts) catalyzes the covalent attachment of N-Acetylgalactosamine (GalNAc) to serine and threonine residues on proteins that pass through the secretory pathway in the first committed step of mucin-type O-glycosylation. Abnormalities in the activity of individual GalNAc-Ts can result in congenital disorders of O-glycosylation (CDG) and influence other biological functions. Although ~85% of proteins that pass through the secretory pathway are modified with O-glycans, only 47 O-glycosylation sites (O-glycosites) from 22 mouse glycoproteins and 17 publications are present on UniProt and an O-glycoprotein database (http://www.oglyp.org/). A compilation of all in vivo O-glycosites (the O-glycoproteome) would be an invaluable step in determining the function of proteins decorated with N-Acetylgalactosamine and what role(s), if any, the O-glycans play. While approaches to delineate O-glycosites have been developed for simple, genetically engineered cell lines, there is no universal approach to mapping the O-glycosites of glycoproteins in complex tissue extracts or biological fluids. We have developed chemical and enzymatic conditions that cleave solitary O-glycans while leaving the modified core protein/peptides assayable by mass spectrometry (MS). The methodology permits the mapping of thousands of O-glycosites decorated with Tn or T antigen from tissues or biological fluids. We then integrated an HCD-pd-EThcD MS workflow and software, including MSFragger-Glyco, pGlyco3, and O-Pair, to study the mouse brain, heart, lung, liver, spleen, kidney, colon, muscle, submandibular gland, and whole blood. The integrated approach identified 2154 solitary O-glycosites from 595 glycoproteins. The O-glycosites and glycoproteins displayed consensus motifs and Gene Ontology (GO) terms for O-glycoproteins. Limited overlap of O-glycosites was observed with protein O-GlcNAcylation and phosphorylation sites. Integrating quantitative glycoproteomics and proteomics revealed a tissue-specific regulation of O-glycosites that the differential expression of Galnt isoenzymes in tissues partly contributes to. We next used established quantitative glycoproteomics and proteomics methods to identify site-specific substrates that may contribute to biologically relevant phenotypes when Galnt2 was genetically ablated in a Galnt2-null mouse model, which presents with lipid and metabolic dysregulation. Our findings suggest networks of Galnt2 direct and indirect interactions that may explain the complex metabolic phenotypes. The mouse O-glycoproteome-map and quantitative glycoproteomics/proteomics approach will provide a valuable foundation for revealing the significance of O-glycosylation biology in CDGs and other diseases and conditions.

Project description:Objectives: Hashimoto’s thyroiditis (HT) is one of the most common autoimmune disorders; however, its underlying pathological mechanisms remain unclear. Although aberrant glycosylation has been implicated in the N-glycome of immunoglobulin G (IgG), changes in serum proteins have not been comprehensively characterized. This study aimed to investigate the glycosylation profile of serum samples of HT patients that were depleted of highly abundant proteins by and propose the potential functions of glycoproteins for the further study of pathological mechanisms of HT . Methods: A lectin microarray containing 70 lectins was used to detect and analyze glycosylation of serum proteins using serum samples (N=27 HT; N=26 healthy control [HC]) depleted of abundant proteins. Significant differences in glycosylation status between HT patients and the HC group were verified by lectin blot analysis. A lectin-based pull-down assay combined with mass spectrometry was used to investigate potential glycoproteins combined with differentially present lectins, and an enzyme-linked immunosorbent assay (ELISA) was used to identify the expression of targeted glycoproteins in 131 patients with papillary thyroid carcinoma (PTC), 131 patients with benign thyroid nodules (BTN) patients, 130 patients with HT, and 128 HCs. Results: Compared with the HC group, the majority of the lectin binding signals in HT group were weakened, while the Vicia villosa agglutinin (VVA) binding signal was increased. The difference in VVA binding signals verified by lectin blotting was consistent with the results of the lectin microarray. A total of 113 potential VVA-binding glycoproteins were identified by mass spectrometry and classified by gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) analyses . Using ELISA, we confirmed that lactoferrin (LTF) and mannan-binding lectin-associated serine protease 1 (MASP-1) levels were elevated in the serum of patients with HT and PTC. Conclusions: Following depletion of abundant proteins, remaining serum proteins in HT patients exhibited lower glycosylation levels than those observed in HCs. An increased level of potential VVA-binding glycoproteins may play an important role in HT development. LTF and MASP-1 expression was significantly higher in the serum of HT and PTC patients, suggesting key roles played by glycosylation in pathological mechanisms underlying HT and PTC.