Search

Motivation The interpretation of mass spectrometry (MS) data is a crucial step in proteomics analysis, and the identification of post-translational modifications (PTMs) is vital for the understanding of the regulation mechanism of the living system. Among various PTMs, glycosylation is one of the most diverse ones. Though many search engines have been developed to decipher proteomic data, some of them are difficult to operate and have poor performance on glycoproteomic datasets compared to advanced glycoproteomic software. Results To simplify the analysis of proteomic datasets, especially O-glycoproteomic datasets, here, we present a user-friendly proteomic database search platform, MS-Decipher, for the identification of peptides from MS data. Two scoring schemes can be chosen for peptide-spectra matching. It was found that MS-Decipher had the same sensitivity and confidence in peptide identification compared to traditional database searching software. In addition, a special search mode, O-Search, is integrated into MS-Decipher to identify O-glycopeptides for O-glycoproteomic analysis. Compared with Mascot, MetaMorpheus and MSFragger, MS-Decipher can obtain about 139.9%, 48.8% and 6.9% more O-glycopeptide-spectrum matches. A useful tool is provided in MS-Decipher for the visualization of O-glycopeptide-spectra matches. MS-Decipher has a user-friendly graphical user interface, making it easier to operate. Several file formats are available in the searching and validation steps. MS-Decipher is implemented with Java, and can be used cross-platform. Availability and implementation MS-Decipher is freely available at https://github.com/DICP-1809/MS-Decipher for academic use. For detailed implementation steps, please see the user guide. Supplementary information Supplementary data are available at Bioinformatics online.

Protein O-GlcNAcylation has been implicated in a broad range of cellular processes, while the functional research is still lagging behind other post-translational modification (PTMs), as a result of the low stoichiometry and limited enrichment efficiency. Herein, a strategy, named CHO-GlcNAc, was developed for O-GlcNAc glycopeptide enrichment. In this strategy, the O-GlcNAc glycopeptides were first enzymatically labeled with a Gal moiety, followed by chemical oxidation to efficiently introduce the aldehyde groups. The labeled O-GlcNAc glycopeptides could be efficiently enriched based on the equilibrium between the hydrazine and oxime bonds. Good specificity of the glycopeptide enrichment was observed from the mixtures of glycopeptide and non-glycopeptides using the CHO-GlcNAc method. Then, it was applied to analyze O-GlcNAcylation in the nucleus of HeLa cells, and 829 potential O-GlcNAcylation sites on 274 glycoproteins were identified, including the two readers of m6A (YTHDF1 and YTHDF3), which could provide clues for the mechanism of crosstalk between O-GlcNAcylation and other PTMs of proteins and RNA. Thus, this method could be a versatile tool for the proteomic analysis of O-GlcNAcylation.

N-linked glycosylation plays important roles in multiple physiological and pathological processes, while the analysis coverage is still limited due to the insufficient digestion of glycoproteins, as well as incomplete ion fragments for intact glycopeptide determination. Herein, a mirror-cutting-based digestion strategy was proposed by combining two orthogonal proteases of LysargiNase and trypsin to characterize the macro- and micro-heterogeneity of protein glycosylation. Using the above two proteases, the b- or y-ion series of peptide sequences were, respectively, enhanced in MS/MS, generating the complementary spectra for peptide sequence identification. More than 27% (489/1778) of the site-specific glycoforms identified by LysargiNase digestion were not covered by trypsin digestion, suggesting the elevated coverage of protein sequences and site-specific glycoforms by the mirror-cutting method. Totally, 10,935 site-specific glycoforms were identified from mouse brain tissues in the 18 h MS analysis, which significantly enhanced the coverage of protein glycosylation. Intriguingly, 27 mannose-6-phosphate (M6P) glycoforms were determined with core fucosylation, and 23 of them were found with the "Y-HexNAc-Fuc" ions after manual checking. This is hitherto the first report of M6P and fucosylation co-modifications of glycopeptides, in which the mechanism and function still needs further exploration. The mirror-cutting digestion strategy also has great application potential in the exploration of missing glycoproteins from other complex samples to provide rich resources for glycobiology research.

Protein N-glycosylation in human milk whey plays a substantial role in infant health during postnatal development. Changes in site-specific glycans in milk whey reflect the needs of infants under different circumstances. However, the conventional glycoproteomics analysis of milk whey cannot reveal the changes in site-specific glycans because the attached glycans are typically enzymatically removed from the glycoproteins prior to analysis. In this study, N-glycoproteomics analysis of milk whey was performed without removing the attached glycans, and 330 and 327 intact glycopeptides were identified in colostrum and mature milk whey, respectively. Label-free quantification of site-specific glycans was achieved by analyzing the identified intact glycopeptides, which revealed 9 significantly upregulated site-specific glycans on 6 glycosites and 11 significantly downregulated site-specific glycans on 8 glycosites. Some interesting change trends in N-glycans attached to specific glycosites in human milk whey were observed. Bisecting GlcNAc was found attached to 11 glycosites on 8 glycoproteins in colostrum and mature milk. The dynamic changes in site-specific glycans revealed in this study provide insights into the role of protein N-glycosylation during infant development.

Proteomics analysis of O-GalNAc glycosylation is important for the screening of biomarkers and the assessment of therapeutic responses. However, its analysis still faces challenges due to the poor performance of currently available enrichment methods. In this study, an enrichment method was established on the basis of Ti-IMAC(IV) materials, which could enrich the intact O-GalNAc glycopeptides via both the hydrophilic interaction and affinity interaction. This method enabled nearly 200 intact O-GalNAc glycopeptides identified from only 0.1 μL of human serum. This was nearly 2-fold different from that of the HILIC method. An in-depth analysis of the O-GalNAc glycosylation was performed, and 2093 intact glycopeptides were identified from 7.2 μL of human serum samples. This is the largest O-GalNAc glycosylation database of human serum from a trace amount of sample. Furthermore, 52 significantly changed intact O-GalNAc glycopeptides were determined by the quantitative analysis of hepatocellular carcinoma (HCC) and control serum samples, indicating the potential applications of this enrichment method in biomarker discovery.

Bottom-up proteomics has been increasingly applied in clinical research to study the disease pathophysiology and to discover disease biomarkers. However, glycoproteomic analysis always requires tedious experimental steps for intact glycopeptide enrichment, which has been the technique bottleneck for large-scale analysis of clinical samples. Herein, we developed an automated glycopeptide enrichment method for the analysis of serum site-specific N-glycoproteome. This automated method allowed for processing one sample within 20 min. It showed higher enrichment specificity, more intact glycopeptide identifications, and better quantitative reproducibility than the traditional manual method using microtip enrichment devices. We further applied this method to investigate the serum site-specific N-glycosylation changes between four patients with pancreatic cancer and seven healthy controls. The principal component analysis of intact N-glycopeptides showed good clustering across cancer and normal groups. Furthermore, we found that the site-specific glycoforms, monofucosylated and nonsialylated oligosaccharides, on IgG1 site 180 expressed a significant decrease in pancreatic cancer patients compared to healthy controls. Together, the automated method is a powerful tool for site-specific N-glycoproteomic analysis of complex biological samples, and it has great potential for clinical utilities.

Post-translational modifications (PTMs) occurring on lysine residues, especially diverse forms of acylations, have seen rapid growth over the past two decades. Among them, lactylation and β-hydroxybutyrylation of lysine side-chains are newly identified histone marks and their implications in physiology and diseases have aroused broad research interest. Meanwhile, lysine lipoylation is highly conserved in diverse organisms and well known for its pivotal role in central metabolic pathways. Recent findings in the proteomic profiling of protein lipoylation have nonetheless suggested a pressing need for an extensive investigation. For both basic and applied research, it is necessary to prepare PTM-bearing proteins particularly in a site-specific manner. Herein, we use genetic code expansion to site-specifically generate these lysine PTMs, including lactylation, β-hydroxybutyrylation and lipoylation in proteins in E. coli and mammalian cells. Notably, using strategies including activity-based selection, screening and rational design, unique pyrrolysyl-tRNA synthetase variants were successfully evolved for each of the three non-canonical amino acids, which enabled efficient production of recombinant proteins. Through encoding these ncAAs, we examined the deacylase activities of mammalian sirtuins to these modifications, and importantly we unfold the lipoamidase activity of several sirtuins.

Lysine crotonylation (Kcr) is increasingly recognized as a key protein post-translational modification. However, selective detection and enrichment of crotonylated proteins remains a challenging task. Herein we present a covalent binder for the selective recognition of protein crotonylation. Based on proximity-induced crosslinking, a bacterial sirtuin (CobB) was remodeled with genetically installed thiol-bearing noncanonical amino acids at the Kcr-interacting site, which subsequently could react with Kcr sites in a unique NAD

Protein methylation, especially that occurs on arginine and lysine residues, is one of the most important post-translational modifications involved in various cellular processes including RNA splicing, DNA repair, and so forth. Systematic analysis of protein methylation would facilitate the understanding of its regulatory mechanisms. Strong cation chromatography has been used to globally analyze arginine/lysine methylation at the proteome scale with good performance. However, the co-enriched histidine-containing peptides severely interfere with the detection of low-abundance methylpeptides. Here, we developed a novel chemical strategy which enabled almost complete depletion of histidine-containing peptides in the protein digest, thereby resulting in the identification of more low-abundance arginine/lysine methylpeptides. Totally, 333 arginine and lysine methylation forms from 207 proteins were identified in this study. Overall, the number of methylation identifications increased about 50% by using our new method. Data are available via ProteomeXchange with the identifier PXD023845.

Tyrosine phosphorylation (pTyr), much of which occurred on localized multiple sites, initiates cellular signaling, governs cellular functions, and its dysregulation is implicated in many diseases, especially cancers. pTyr-specific sensing is of great significance for understanding disease states and developing targeted anticancer drugs, however, it is very challenging due to the slight difference from serine (pSer) or threonine phosphorylation (pThr). Here we present polyethylenimine-g-phenylguanidine (PEI-PG)-modified nanochannels that can address the challenge. Rich guanidinium groups enabled PEI-PG to form multiple interactions with phosphorylated residues, especially pTyr residue, which triggered the conformational change of PEI-PG. By taking advantage of the "OFF-ON" change of the ion flux arising from the conformational shrinkage of the grafted PEI-PG, the nanochannels could distinguish phosphorylated peptide (PP) from nonmodified peptide, recognize PPs with pSer, pThr, or pTyr residue and PPs with different numbers of identical residues, and importantly could sense pTyr peptides in a biosample. Benefiting from the strong interaction between the guanidinium group and the pTyr side-chain, the specific sensing of pTyr peptide was achieved by performing a simple logic operation based on PEI-PG-modified nanochannels when Ca2+ was introduced as an interferent. The excellent pTyr sensing capacity makes the nanochannels available for real-time monitoring of the pTyr process by c-Abl kinase on a peptide substrate, even under complicated conditions, and the proof-of-concept study of monitoring the kinase activity demonstrates its potential in kinase inhibitor screening.

D-dimer is an important marker of different coagulation diseases, such as venous thromboembolism (including deep vein thrombosis and pulmonary embolism) and disseminated intravascular coagulation. Though it is frequently used in many clinical diagnostic situations, the D-dimer assays currently lack standardization due to its inherent heterogeneity which makes the antibody-based methods have different quantitative results and cutoffs to define an abnormal value. In this study, we report the first antibody-free D-dimer quantification method. In the method, a cross-linked peptide of fibrin D domain carboxyl terminal cross-linked by the factor XIIIa was used to represent the D-dimer. By using a filter-aided sample preparation and a nickel immobilized metal affinity chromatography enrichment strategy, the complexity of the plasma sample was significantly reduced, and the cross-linked peptide was enriched effectively for analysis with parallel reaction monitoring in mass spectrometry. The linear range of this method was 3.125-400 nmol/L which spans over two magnitudes. Recovery and reproducibility of the method were found to be good. To further demonstrate the performance of our method, D-dimer concentrations of 25 human plasma samples were analyzed, and the results had a good correlation between with the commercial D-dimer assay kit used in hospitals. This method was completely antibody-free and has the potential to promote the standardization of D-dimer analysis.

Endogenous glycopeptides in serum are an invaluable resource for biomarker discovery. Due to the low abundance and the poor fragmentation in tandem mass spectrometry, the identification of endogenously intact glycopeptides still faces many challenges. Herein, an integrated platform is fabricated for the identification of N-linked and O-linked endogenously intact glycopeptides. In this platform, the high-temperature acid denaturation, ultrafiltration, and hydrophilic interaction chromatography steps are combined together for the highly efficient extraction of the endogenously intact glycopeptides from a small amount of serum. Additionally, the twin-spectra scheme and in silico deglycosylation strategy were applied for the identification of N-linked and O-linked endogenous glycopeptides, respectively. In total, 223 intact N-glycopeptides and 51 intact O-glycopeptides are identified from only 40 μL of the human serum sample. This is the first study reporting the identification of endogenously intact N-linked and O-linked glycopeptide and is also the largest data set of endogenously intact glycopeptides reported so far. The distributions of glycans among peptides and proteins and cleavage sites on peptides are further analyzed to seek the regulation of endogenous glycosylation for disease mechanism. The developed strategy provides a novel platform for the disease biomarker discovery.

To selectively enrich O-linked β-N-acetylglucosamine (O-GlcNAc) peptides in their original form from complex samples, we report the first reversible chemoenzymatic labeling approach for proteomic analysis. In this strategy, the O-GlcNAc moieties are ligated with long N-glycans using an Endo-M mutant, which enables the enrichment of the labeled glycopeptides by hydrophilic interaction liquid chromatography (HILIC). The attached glycans on the enriched glycopeptides are removed by wild-type Endo-M/S to restore the O-GlcNAc moiety. Compared with classic chemoenzymatic labeling, this approach enables the tag-free identification, and eliminates the interference of bulky tags in glycopeptide detection. This approach presents a unique avenue for the proteome-wide analysis of protein O-GlcNAcylation to promote its mechanism research.

The reinvigoration of anti-tumor T cells in response to immune checkpoint blockade (ICB) therapy is well established. Whether and how ICB therapy manipulates antibody-mediated immune response in cancer environments, however, remains elusive. Using tandem mass spectrometric analysis of modification of immunoglobulin G (IgG) from hepatoma tissues, we identified a role of ICB therapy in catalyzing IgG sialylation in the Fc region. Effector T cells triggered sialylation of IgG via an interferon (IFN)-γ-ST6Gal-I-dependent pathway. DC-SIGN

Immunotherapy has been widely utilized in multiple tumors, however, its efficacy in the treatment of triple-negative breast cancers (TNBC) is still being challenged. Meanwhile, functions and mechanisms of RNA binding proteins in regulating immunotherapy for TNBC remain largely elusive. Here we reported that the RNA binding protein RBMS1 is prevalent among immune-cold TNBC. Through a systematic shRNA-mediated screen, we found depletion of RBMS1 significantly reduced the level of programmed death ligand 1 (PD-L1) in TNBC. Clinically, RBMS1 was increased in breast cancer and its level was positively correlated to that of PD-L1. RBMS1 ablation stimulated cytotoxic T cell mediated anti-tumor immunity. Mechanistically, RBMS1 regulated the mRNA stability of B4GALT1, a newly identified glycosyltransferase of PD-L1. Depletion of RBMS1 destabilized the mRNA of B4GALT1, inhibited the glycosylation of PD-L1 and promoted the ubiquitination and subsequent degradation of PD-L1. Importantly, combination of RBMS1 depletion with CTLA4 immune checkpoint blockade or CAR-T treatment enhanced anti-tumor T-cell immunity both in vitro and in vivo. Together, our findings provided a new immunotherapeutic strategy against TNBC by targeting the immunosuppressive RBMS1.

Protein O-GlcNAcylation has been implicated in a broad range of cellular processes, while the functional research is still lagging behind other post-translational modification (PTMs), as a result of the low stoichiometry and limited enrichment efficiency. Herein, a strategy, named

Epithelial-to-mesenchymal transition (EMT) is a process linked to metastasis and drug resistance with non-coding RNAs (ncRNAs) playing pivotal roles. We previously showed that miR-100 and miR-125b, embedded within the third intron of the ncRNA host gene MIR100HG, confer resistance to cetuximab, an anti-epidermal growth factor receptor (EGFR) monoclonal antibody, in colorectal cancer (CRC). However, whether the MIR100HG transcript itself has a role in cetuximab resistance or EMT is unknown.The correlation between MIR100HG and EMT was analyzed by curating public CRC data repositories. The biological roles of MIR100HG in EMT, metastasis and cetuximab resistance in CRC were determined both in vitro and in vivo. The expression patterns of MIR100HG, hnRNPA2B1 and TCF7L2 in CRC specimens from patients who progressed on cetuximab and patients with metastatic disease were analyzed by RNAscope and immunohistochemical staining.The expression of MIR100HG was strongly correlated with EMT markers and acted as a positive regulator of EMT. MIR100HG sustained cetuximab resistance and facilitated invasion and metastasis in CRC cells both in vitro and in vivo. hnRNPA2B1 was identified as a binding partner of MIR100HG. Mechanistically, MIR100HG maintained mRNA stability of TCF7L2, a major transcriptional coactivator of the Wnt/β-catenin signaling, by interacting with hnRNPA2B1. hnRNPA2B1 recognized the N6-methyladenosine (mMIR100HG and hnRNPA2B1 interact to control the transcriptional activity of Wnt signaling in CRC via regulation of TCF7L2 mRNA stability. Our findings identified MIR100HG as a potent EMT inducer in CRC that may contribute to cetuximab resistance and metastasis by activation of a MIR100HG/hnRNPA2B1/TCF7L2 feedback loop.

Lysine acetylation is one of the most basic molecular mechanisms to mediate protein functions in living organisms, and its abnormal regulation has been linked to many diseases. The drug development associated to this process is of great significance but severely hindered by the complex interplay of lysine acetylation and deacetylation in thousands of proteins, and we reasoned that targeting a specific protein acetylation or deacetylation event instead of the related enzymes should be a feasible solution to this issue. Toward this goal, we devised an orthogonal lysine acylation and deacylation (OKAD) system, which potentially could precisely dissect the biological consequence of an individual acetylation or deacetylation event in living cells. The system includes a genetically encoded acylated lysine (PhOAcK) that is not a substrate of endogenous deacetylases, and an evolved sirtuin (CobB2/CobB3) that displays PhOAcK deacylase activities as well as reduced deacetylase activities. We believe the strategy introduced here holds potential for future in-depth biological applications.

N-linked glycosylation plays important roles in multiple physiological and pathological processes, while the analysis coverage is still limited due to the insufficient digestion of glycoproteins, as well as incomplete ion fragments for intact glycopeptide determination. Herein, a mirror-cutting-based digestion strategy was proposed by combining two orthogonal proteases of LysargiNase and trypsin to characterize the macro- and micro-heterogeneity of protein glycosylation. Using the above two proteases, the b- or y-ion series of peptide sequences were, respectively, enhanced in MS/MS, generating the complementary spectra for peptide sequence identification. More than 27% (489/1778) of the site-specific glycoforms identified by LysargiNase digestion were not covered by trypsin digestion, suggesting the elevated coverage of protein sequences and site-specific glycoforms by the mirror-cutting method. Totally, 10,935 site-specific glycoforms were identified from mouse brain tissues in the 18 h MS analysis, which significantly enhanced the coverage of protein glycosylation. Intriguingly, 27 mannose-6-phosphate (M6P) glycoforms were determined with core fucosylation, and 23 of them were found with the "Y-HexNAc-Fuc" ions after manual checking. This is hitherto the first report of M6P and fucosylation co-modifications of glycopeptides, in which the mechanism and function still needs further exploration. The mirror-cutting digestion strategy also has great application potential in the exploration of missing glycoproteins from other complex samples to provide rich resources for glycobiology research.

Protein glycosylation is one of the most important post-translational modifications (PTMs). The glycosylation is crucial in a variety of physiological and pathological processes that include protein stability, intracellular and intercellular signal transduction, hormone activation or inactivation, and immune regulation. Protein glycosylation is generated by complex biosynthetic pathways comprising hundreds of glycosyltransferases, glycosidases, transcriptional factors, transporters, and protein backbones. Abnormal protein glycosylation is closely associated with the occurrence and development of diseases. Many disease biomarkers in clinical screening are glycoproteins (alfa fetoprotein for liver cancer, carbohydrate antigen 125 for ovarian cancer, carcinoembryonic antigen for colon cancer, prostate-specific antigen for prostate cancer, etc.), and glycan antigens (carbohydrate antigen 19-9 for gastrointestinal cancer and pancreatic cancer, etc.). Glycoproteomics research and technological developments are important to elucidate the mechanism of protein glycosylation in vivo. Mass spectrometry (MS)-based proteomics provides an excellent approach for the comprehensive analysis of proteins and their modifications. In bottom-up proteomics, glycoproteomic analysis is more difficult than other PTMs because intact glycopeptides have diverse peptide backbones and glycan chains, relatively low abundance and ionization efficiency, and pronounced heterogeneity. In recent years, glycoproteomic methodologies such as intact glycopeptide enrichment methods, MS fragmentation and acquisition approaches, MS data interpretation tools and software, and quantification strategies have been appreciably improved. These methodologies have driven in-depth glycoproteomics research. This review focuses on the recent advances in MS-based glycoproteomics. New enrichment methods and spectral interpretation approaches of intact N- and O-glycopeptides are discussed. Their applications in answering various questions in complex biological systems are also considered. The new enrichment methods for intact glycopeptides are mostly based on existing principles. Some properties of the materials, such as hydrophilicity and electrophilicity, have been optimized to improve the enrichment performance. For example, dual-functional Ti(IV)-IMAC materials have been used for the separation of glycopeptides and phosphopeptides. Considering the clinical applications, some glycoproteomics methods integrate enrichment processing into automated workflows to reduce errors caused by manual operations and to increase the experimental reproducibility and efficiency. For example, an automated glycopeptide enrichment method consisting of a liquid chromatograph equipped with a hydrophilic interaction chromatography column has been shown capable of highly reproducible analyses of site-specific glycopeptides in complex biological samples. These methods are more suitable for the discovery of newly glycosylation-related biomarkers as well as for the physiopathological studies of human diseases. With the optimization of glycopeptide enrichment methods and the innovation of MS technologies in the past decade, MS analysis of intact glycopeptides has begun to yield a wealth of glycopeptide fragment ions and plentiful high-quality MS data. This review introduces several effective fragmentation methods for intact glycopeptides. These include collision-induced dissociation, high-energy collision dissociation, electron capture dissociation, electron-transfer dissociation, and electron-transfer/higher-energy collision dissociation. Automated analysis of MS data of intact N- and O-glycopeptides requires interpretation approaches and corresponding software tools with high sensitivity and reliability. Finally, we highlight the utility of several spectral interpretation approaches and their corresponding popular search software, including ArMone, Byonic, GPQuest, pGlyco, O-search, MSFragger-Glyco, and O-Pair Search. In addition, MS data acquisition modes, such as data-dependent acquisition, data-independent acquisition, multiple reaction monitoring technology, and parallel reaction monitoring technology, have great application prospects in glycoproteomics research. With the improvements in enrichment methods, MS technologies, and spectral interpretation approaches for intact N- and O-glycopeptides, comprehensive and systematic glycoproteomics analysis has tremendously expanded the knowledge of protein glycosylation. These glycoproteomic technologies have a wide range of applications that include exploring the molecular mechanisms of protein glycosylation and discovering the new biomarkers of human diseases.

Determination of site-specific glycoforms is the key to reveal the micro-heterogeneity of protein glycosylation at proteome level. Herein, we presented an integrated virtual multistage MS strategy to identify intact glycopeptides, which allowed the determination of site-specific glycoforms. In this strategy, the enzymatically de-glycosylated peptides and intact glycopeptides were mixed and analyzed in the same LC-MS/MS run. The acquired MS2 spectra of intact glycopeptides allowed determination of the glycans, and the MS2 spectra of the de-glycosylated peptides enabled the identification of peptide backbone sequences. Compared with the conventional multistage strategy, the peptide backbones could be directly identified by the MS2 of the de-glycopeptides with higher sensitivity. This strategy was first validated by analyzing the glycosites and site-specific glycoforms of mouse liver tissues. Then, it was applied to differential analysis of the glycoproteomes of hepatocellular carcinoma (HCC) and adjacent liver tissues. Compared with the identification scheme using only MS2 spectra of intact glycopeptides or glycosites, this approach enabled quantitative analysis on two levels, i.e. glycosites and site-specific glycoforms, simultaneously. Thus, it could be a powerful tool to characterize the subtle differences in the macro- and micro-heterogeneity of protein glycosylation for different samples.

Protein methylation is one of the most common and important post-translational modifications, and it plays vital roles in epigenetic regulation, signal transduction, and chromatin metabolism. However, due to the diversity of methylation forms, slight difference between methylated sites and nonmodified ones, and ultralow abundance, it is extraordinarily challenging to capture and separate methylated peptides from biological samples. Here, we introduce a simple and highly efficient method to separate methylated and nonmethylated peptides using 18-crown-6 as a mobile phase additive in high-performance liquid chromatography. Selective complexation between lysine and 18-crown-6 remarkably increases the retention of the peptides on a C18 stationary phase, leading to an excellent baseline separation between the lysine methylated and nonmethylated peptides. A possible binding mechanism is verified by nuclear magnetic resonance titration, biolayer interferometry technology, and quantum chemistry calculation. Through establishment of a simple enrichment methodology, a good selectivity is achieved and four methylated peptides with greatly improved signal-to-noise (S/N) ratios are successfully separated from a complex peptide sample containing 10-fold bovine serum albumin tryptic digests. By selecting rLys N as an enzyme to digest histone, methylation information in the histone could be well identified based on our enrichment method. This study will open an avenue and provide a novel insight for selective enrichment of lysine methylated peptides in post-translational modification proteomics.

Sialylation, an important form of glycosylation, is involved in many biological processes and plays an important role in the development of diseases. However, due to the low abundance among various glycosylation and lack of efficient enrichment method with high specificity, the study of sialylation remains a challenge. Herein, multi-histidine modified microspheres (MHM) were synthesized to enrich sialylated glycopeptides. It was found that MHM could selectively enrich sialylated glycopeptides from over 100 times of non-sialylated glycopeptides, which indicated MHM possessed good enrichment specificity towards sialylated glycopeptides. Furthermore, MHM were utilized to the large-scale analysis of protein sialylation, and 510 intact glycopeptides were identified with over 94.5% sialylated glycopeptide specificity from 4 μL human serum. The good specificity could be attributed to the synergistic effect by the electrostatic interaction and hydrophilic interaction. Hence, MHM could provide an alternative approach for the analysis of site-specific sialylation at proteome level from complex biological samples.

Human serum is a complex body fluid that contains various N-linked and O-linked glycoproteins. Compared with N-linked glycoproteins, the serum O-linked glycoproteins are not well-studied due to their high heterogeneity and their low abundance. Herein, we presented a novel chemoenzymatic method to analyze core-1 type of O-GalNAcylation in human serum. In this approach, the tryptic digest of serum was first subjected to PNGase F treatment to release the N-glycan and was then treated with strong acid to release sialic acid residues from mucin-type O-glycans. In this way, the internal Gal/GalNAc residues were exposed and were oxidized by the galactose oxidase to carry the aldehyde groups. The oxidized O-GalNAcylated peptides were then captured by hydrazide beads and eluted with methoxylamine for LC-MS/MS analysis. The de-N-deglycosylation decreased the abundance of N-glycopeptides, the desialylation simplified the O-glycans and the enzymatic oxidization conferred the enrichment specificity. We have demonstrated that this method was fitted to analyze O-GalNAcylated peptides with high confidence. This method was applied to analyze human serum, which resulted in the identification of 59 O-GalNAc modified peptide sequences corresponding to 38 glycoproteins from 50 μL of serum. This method is expected to have broad applications in the analysis of O-glycoproteome.

Monoclonal antibodies (mAbs), are one of the most important protein drugs have attracted increasing attention. However, the pharmacokinetics of mAbs has not been fully investigated due to the complexity of protein drugs. Traditonal immuno-based approaches can not recognize the proteoforms of mAbs because of the long development cycles, prohibitive cost, and interactions between different proteins. Therefore, reliable qualitative and quantitative analysis of the proteoforms of mAbs in biological samples is of crucial importance. Herein, a novel method was developed for absolute quantitation of mAbs and their glycoforms in complex biological samples such as serum and tissues. With the combination of HILIC enrichment and parallel reaction monitoring by high resolution mass spectrometry, most of the glycoforms can be accurately quantified at the fmol level through the use of the model mAb of bevacizumab. More importantly, the structural confirmation can be achieved simultaneously without the need for additional experiments. This strategy can be readily applied to the pharmacokinetic study of glycosylation modification and biomarker discovery for clinical applications.

Sialylation typically occurs at the terminal of glycans, and its aberration often correlates with diseases including neurological diseases and cancer. However, the analysis of glycoprotein sialylation in complex biological samples is still challenging due to their low abundance. Herein, a histidine-bonded silica (HBS) material with a hydrophilic interaction and switchable surface charge was fabricated to enrich sialylated glycopeptides (SGPs) from the digest of proteomics samples. High selectivity toward SGPs was obtained by combining the superior hydrophilicity and switchable-charge characteristics. During the enrichment of sialylated glycopeptides from bovine fetuin digest, seven glycopeptides were detected even at the ratio of 1:5000 with the nonsialylated glycopeptides, demonstrating the high specificity of SGP enrichment by using HBS material. Then, HBS material was further utilized to selectively enrich SGPs from the protein digest of human serum, and 487 glycosites were identified from only 2 μL of human serum; 92.0% of the glycopeptides contained at least one sialic acid, indicating good performance for SGP enrichment by using HBS material. Furthermore, the prepared HBS material also has great potential applications in the analysis of glycoprotein sialylation from other complex biological samples.

The diversity of O-linked glycan structures has drawn increasing attention due to its vital biological roles. However, intact O-glycopeptides with different glycans are typically not well elucidated using the current methods. In this work, an integrated strategy was developed for comprehensive analysis of O-GalNAc glycosylation by combining hydrophilic interaction chromatography (HILIC) tip enrichment, beam-type collision induced decomposition (beam-CID) detection, and in silico deglycosylation method for spectra interpretation. In this strategy, the intact O-GalNAc glycopeptides were selectively enriched and the original spectra obtained by time-of-flight (TOF)-CID were preprocessed using an in silico deglycosylation method, enabling direct searching without setting multiple glycosylation modifications, which could significantly decrease the search space. This strategy was applied to analyze the O-GalNAc glycoproteome of human serum, leading to identification of 407 intact O-GalNAc glycopeptides from 93 glycoproteins. About 81% of the glycopeptides contained at least one sialic acid, which could reveal the microheterogeneity of O-GalNAc glycosylation. Up until now, this is the largest data set of intact O-GalNAc glycoforms from complex biological samples at the proteome level. Furthermore, this method is readily applicable to study O-glycoform heterogeneity in other complex biological systems.

Chitosan oligosaccharides (COS) worked effectively in multiple plant-pathogen interactions as plant immunity regulator, however, due to the complexity of the COS-induced immune signaling network, the topic requires further investigation. In the present study, quantitative analysis of proteins was performed to investigate the underlying mechanism of COS induced resistance to Pseudomonas syringae pv. tomato DC3000 (Pst DC3000) in Arabidopsis thaliana. 4303 proteins were successfully quantified, 186, 217 and 207 proteins were differently regulated in mock + Pst, COS, and COS + Pst treated plants, respectively, compared with mock plants. From detailed functional and hierarchical clustering analysis, a priming effect of COS on plant immune system by pre-regulated the key proteins related to signaling transduction, defense response, cell wall biosynthesis and modification, plant growth and development, gene transcription and translation, which confers enhanced resistance when Pst DC3000 infection in Arabidopsis. Moreover, RACK1B which has the potential to be the key kinase receptor for COS signals was found out by protein-protein interaction network analysis of COS responsive proteins. In conclusion, COS treatment enable plant to fine-tuning its defense mechanisms for a more rapid and stronger response to future pathogen attacks, which obviously enhances plants defensive capacity that makes COS worked effectively in multiple plant-pathogen interactions.

Aberrant sialylation of glycoproteins is closely related to many malignant diseases, and analysis of sialylation has great potential to reveal the status of these diseases. However, in-depth analysis of sialylation is still challenging because of the high microheterogeneity of protein glycosylation, as well as the low abundance of sialylated glycopeptides (SGPs). Herein, an integrated strategy was fabricated for the detailed characterization of glycoprotein sialylation on the levels of glycosites and site-specific glycoforms by employing the SGP enrichment method. This strategy enabled the identification of up to 380 glycosites, as well as 414 intact glycopeptides corresponding to 383 site-specific glycoforms from only initial 6 μL serum samples, indicating the high sensitivity of the method for the detailed analysis of glycoprotein sialylation. This strategy was further employed to the differential analysis of glycoprotein sialylation between hepatocellular carcinoma patients and control samples, leading to the quantification of 344 glycosites and 405 site-specific glycoforms, simultaneously. Among these, 43 glycosites and 55 site-specific glycoforms were found to have significant change on the glycosite and site-specific glycoform levels, respectively. Interestingly, several glycoforms attached onto the same glycosite were found with different change tendencies. This strategy was demonstrated to be a powerful tool to reveal subtle differences of the macro- and microheterogeneity of glycoprotein sialylation.

For the analysis of homogeneous post-translational modifications such as protein phosphorylation and acetylation, setting a variable modification on the specific residue(s) is applied to identify the modified peptides for database searching. However, this approach is often not applicable to identify intact mucin-type O-glycopeptides due to the high microheterogeneity of the glycosylation. Because there is virtually no carbohydrate-related tag on the peptide fragments after the O-glycopeptides are dissociated in HCD, we find it is unnecessary to set the variable mass tags on the Ser/Thr residues to identify the peptide sequences. In this study, we present a novel approach, termed as O-Search, for the interpretation of O-glycopeptide HCD spectra. Instead of setting the variable mass tags on the Ser/Thr residues, we set variable mass tags on the peptide level. The precursor mass of the MS/MS spectrum was deducted by every possible summed mass of O-glycan combinations on at most three S/T residues. All the spectra with these new precursor masses were searched against the protein sequence database without setting variable glycan modifications. It was found that this method had much decreased search space and had excellent sensitivity in the identification of O-glycopeptides. Compared with the conventional searching approach, O-Search yielded 96%, 86%, and 79% improvement in glycopeptide spectra matching, glycopeptide identification, and peptide sequence identification, respectively. It was demonstrated that O-Search enabled the consideration of more glycan structures and was fitted to analyze microheterogeneity of O-glycosylation.

Selective enrichment of glycopeptides from complex sample followed by cleavage of N-glycans by PNGase F to expose an easily detectable mark on the former glycosylation sites has become the popular protocol for comprehensive glycoproteome analysis. On account of the high enrichment specificity, hydrazide chemistry based solid-phase extraction of N-linked glycopeptides technique has sparked numerous interests. However, the enzymatic release of glycopeptides captured by hydrazide beads through direct incubation of the beads with PNGase F is not efficient due to the inherent steric hindrance effect. In this study, we developed a hydroxylamine assisted PNGase F deglycosylation (HAPD) method using the hydroxylamine to release glycopeptides captured on the hydrazide beads through the cleavage of hydrazone bonds by transamination followed with the PNGase F deglycosylation of the released glycopeptides in the free solution. Because of the homogeneous condition for the deglycosylation, the recovery of deglycosylated peptides (deglycopeptides) was improved significantly. It was found that 27% more N-glycosylation sites were identified by the HAPD strategy compared with the conventional method. Moreover, the ratio of identified N-terminal glycosylated peptides was improved over 5-fold.

Albeit much less abundant than Ser/Thr phosphorylation (pSer/pThr), Tyr phosphorylation (pTyr) is considered as a hallmark in cellular signal transduction. However, its analysis at the proteome level remains challenging. The conventional immunopurification (IP) approach using antibodies specific to pTyr sites is known to have low sensitivity, poor reproducibility and high cost. Our recent study indicated that SH2 domain-derived pTyr-superbinder is a good replacement of pTyr antibody for the specific enrichment of pTyr peptides for phosphoproteomics analysis. In this study, we presented an efficient SH2 superbinder based workflow for the sensitive analysis of tyrosine phosphoproteome. This new method can identify 41% more pTyr peptides than the previous method. Its excellent performance was demonstrated by the analysis of a variety of different samples. For the highly tyrosine phosphorylated sample, for example, pervanadate-treated Jurkat T cells, it identified over 1800 high confident pTyr sites from only 2 mg of proteins. For the unstimulated Jurkat cells, where the pTyr events rarely occurred, it identified 343 high confident pTyr sites from 5 mg of proteins, which was 31% more than that obtained by the antibody-based method. For the heterogeneous sample of tissue, it identified 197 high confident pTyr sites from 5 mg protein digest of mouse skeletal muscle. In general, it is a sensitive, robust and cost-effective approach and would have wide applications in the study of the regulatory role of tyrosine phosphorylation in diverse physiological and pathological processes.

O-Glycosylation, which refers to the glycosylation of the hydroxyl group of side chains of Serine/Threonine/Tyrosine residues, is one of the most common post-translational modifications. Compared with N-linked glycosylation, O-glycosylation is less explored because of its complex structure and relatively low abundance. Recently, O-glycosylation has drawn more and more attention for its various functions in many sophisticated biological processes. To obtain a deep understanding of O-glycosylation, many efforts have been devoted to develop effective strategies to analyze the two most abundant types of O-glycosylation, i.e. O-N-acetylgalactosamine and O-N-acetylglucosamine glycosylation. In this review, we summarize the proteomics workflows to analyze these two types of O-glycosylation. For the large-scale analysis of mucin-type glycosylation, the glycan simplification strategies including the ''SimpleCell'' technology were introduced. A variety of enrichment methods including lectin affinity chromatography, hydrophilic interaction chromatography, hydrazide chemistry, and chemoenzymatic method were introduced for the proteomics analysis of O-N-acetylgalactosamine and O-N-acetylglucosamine glycosylation.

In theory, proteases with broad cleavage specificity could be applied to digest protein samples to improve the phosphoproteomic analysis coverage. However, in practice this approach is seldom employed. This is because the identification of phosphopeptides without enzyme specificity by conventional database search strategy is extremely difficult due to the huge search space. In this study, we investigated the performance of a de novo sequencing assisted database search strategy for the identification of such phosphopeptides. Firstly, we compared the performance of conventional database search strategy and the de novo sequencing assisted database search strategy for the identification of peptides and phosphopeptides without stetting enzyme specificity. It was found that the identification sensitivity dropped significantly for the conventional one while it was only slightly decreased for the new approach. Then, this new search strategy was applied to identify phosphopeptides generated by Proteinase K digestion, which resulted in the identification of 717 phosphopeptides. Finally, this strategy was utilized for the identification of serum endogenous phosphopeptides, which were generated in vivo by different kinds of proteases and kinases, and the identification of 68 unique serum endogenous phosphopepitdes was successfully achieved.

Covalent organic polymers are an emerging class of materials with potential applications in areas including molecular separation, gas sorption, and catalysis. A novel fully conjugated organic polymer bearing bis(imino)pyridine (COP-BIP) and its catalytic function are reported here. Unlike previous COP materials, the imine bonds of COP-BIP act as both linkages and complexation sites for the binding of metal ions. A clear structure is presented based on ultraviolet-visible, Fourier transform infrared, and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry characterization. The COP-BIP materials are thermally stable up to 440 °C and are insoluble in conventional solvents. In addition, COP-BIP complexes Pd ions on bis(imino)pyridine sites and forms a heterogeneous catalyst, which exhibits excellent catalytic activity in the Suzuki-Miyaura C–C coupling reaction.

Conventional N-glycoproteome analysis usually applies C18 reversed-phase (RP) adsorbent for sample purification, which will lead to unavoidable sample loss due to the high hydrophilicity of N-glycopeptides. In this study, a porous graphitized carbon (PGC) absorbent was combined with a C18 adsorbent for N-glycopeptide purification in comprehensive N-glycoproteome analysis based on the hydrophobic and polar interactions between carbon and N-glycans. It was observed that the small hydrophilic N-glycopeptides that cannot retain onto C18 adsorbent can be captured by the graphitized carbon, while the large hydrophobic N-glycopeptides that cannot retain onto the graphitized carbon can be feasibly captured by the C18 adsorbent. Comparing with sample purification by using C18 adsorbent only, 28.5 % more N-glycopeptides were identified by combining both C18 and PGC adsorbents. The C18-PGC strategy was further applied for both sample purification and pre-fractionation of a complex protein sample from HeLa cell. After hydrophilic interaction chromatography enrichment, 1,484 unique N-glycopeptides with 1,759 unique N-glycosylation sites were finally identified.

An enzymatic approach to label peptide N-termini with isotope-coded affinity tags is presented. This method exploits the high activity of trypsin for peptide synthesis in organic solvents. A cosubstrate containing a stable isotope-coded Arg residue and a biotin tag was synthesized. When the cosubstrate was incubated with tryptic peptides and trypsin in ethanol solution, the stable isotope-coded affinity tag was specifically coupled onto the N-termini of peptides via the formation of new peptide bonds. The labeled peptides were specifically enriched by avidin affinity chromatography and then were submitted to liquid chromatography-tandem mass spectrometry (LC/MS/MS) for quantification. This enrichment step effectively reduced the interference by unlabeled peptides. The excellent performance of this approach was demonstrated by labeling standard peptides as well as a mouse liver digest. In addition to one amino acid residue, a few dipeptide tags were also introduced to the N-termini of peptides successfully by this enzymatic approach. It was found that the identifications for samples labeled with these tags were highly complementary. Coupling a short sequence tag onto peptides could be an effective approach to improve the coverage for proteome analysis.

Zwitterionic hydrophilic interaction chromatography (ZIC-HILIC) materials have been increasingly attractive in glycopeptide enrichment. However, the traditional ZIC-HILIC materials are modified with monolayer zwitterionic molecules on the surface, therefore, the hydrophilicity, detection sensitivity and loading capacity are limited. In this work, we synthesized novel silica nanoparticles with uniform poly(2-(methacryloyloxy)ethyl)dimethyl-(3-sul-fopropyl)ammonium hydroxide (PMSA) brushes grafted onto the surface via reversible addition-fragmentation chain transfer (RAFT) polymerization (denoted as SiO2-RAFT@PMSA). The resulting SiO2-RAFT@PMSA nanoparticles demonstrated low detection limit (10 fmol) and high recovery yield (over 88%) for glycopeptide enrichment from tryptic digest of human IgG. The SiO2-RAFT@PMSA nanoparticles were further applied for the analysis of mouse liver glycoproteome, a total number of 303 unique N-glycosylation sites corresponding to 185 glycoproteins was reliably profiled in three replicate nano-LC-MS/MS runs. Significantly, more glycopeptides were identified than those of nanoparticles, monolayer MSA molecules modified SiO2@single-MSA and nonuniform multi-layer PMSA brushes coated SiO2@PMSA, as well as commercial ZIC@HILIC beads and Click Maltose beads. The excellent performance of SiO2-RAFT@PMSA nanoparticles results from the non-fouling property, a large quantity of functional molecules and suitable link arms provided by uniform PMSA brushes, as well as efficient interaction between glycopeptides and uniform PMSA brushes. It is concluded that the synthesized SiO2-RAFT@PMSA nanoparticles exhibit great potential in glycoproteome analysis. Moreover, this strategy to modify nanopaticles with uniform polymer brushes via RAFT polymerization can also be explored to design other types of materials for bioseparation application.

Post-translational modifications (PTMs) are covalent processing events of proteins. It is the reason that the complex biological process can be regulated under the limited gene number. As many as 300 PTMs of proteins play important roles in many living activities such as regulation of cell cycle, signal transduction and immune response. Most of the protein PTMs have the characteristics such as low abundance, high dynamic range and complex structures. Therefore, there are enormous challenges for the large scale analysis of protein PTMs. The PTMs proteomics approach which is based on the mass spectrometry emerges as an ideal strategy for the global analysis of protein PTMs. Now, the large scale analysis of protein PTMs has been the key research area of proteomics. In this review, we focus on the development of new method and technology of PTMs proteomics, including the enrichment strategies, separation method, mass spectrometry techniques and quantitative methods of the protein PTMs.