Site‐specific N‐glycosylation analysis of human factor XI: Identification of a noncanonical NXC glycosite

Human factor XI (hFXI) is a 160‐kDa disulphide‐linked homodimer zymogen involved in the coagulation cascade. Its deficiency results in bleeding diathesis referred to as hemophilia C. hFXI bears five N‐glycosylation consensus sites per monomer, N₇₂, N₁₀₈, N₃₃₅ on the heavy chain and N₄₃₂, N₄₇₃ on the light chain. This study reports the first in‐depth glycosylation analysis of hFXI based on advanced MS approaches. Hydrophilic interaction LC and MS characterization and quantification of the N‐glycans showed that the two major forms are complex biantennary mono‐α2,6‐sialylated (A₂S₁, 20%) and bis‐α2,6‐sialylated structures (A₂S₂, 66%). Minor triantennary structures (A₃S₃F, ～1.5%; A₃S₃, ～2%) were also identified. MS analyses of intact hFXI revealed full occupation of two of the three heavy‐chain glycosites and almost full‐site occupancy of the light chain. Analysis of hFXI glycopeptides by LC‐MS/MS enabled site‐specific glycan profiling and occupancy. It was evidenced that N₃₃₅ was not glycosylated and that N₇₂ and N₁₀₈ were fully occupied, whereas N₄₃₂ and N₄₇₃ were occupied at about 92 and 95%, respectively. We also identified a new glycosite of the noncanonical format NXC at N₁₄₅, occupied at around 5%. These data provide valuable structural information useful to understand the potential roles of N‐glycosylation on hFXI function and could serve as a structural reference.     

An improved in‐gel digestion method for efficient identification of protein and glycosylation analysis of glycoproteins using guanidine hydrochloride

In‐gel digestion followed by LC/MS/MS is widely used for the identification of trace amounts of proteins and for the site‐specific glycosylation analysis of glycoproteins in cells and tissues. A major limitation of this technique is the difficulty in acquiring reliable mass spectra for peptides present in minute quantities and glycopeptides with high heterogeneity and poor hydrophobicity. It is considered that the SDS used in electrophoresis can interact with proteins noncovalently and impede the ionization of peptides/glycopeptides. In this study, we report an improved in‐gel digestion method to acquire reliable mass spectra of a trace amount of peptides/glycopeptides. A key innovation of our improved method is the use of guanidine hydrochloride, which forms complexes with the residual SDS molecules in the sample. The precipitation and removal of SDS by addition of the guanidine hydrochloride was successful in improving the S/N of peptides/glycopeptides in mass spectra and acquiring a more comprehensive MS/MS data set for the various glycoforms of each glycopeptide.     

Helicobacter pylori proteomics by 2‐DE/MS, 1‐DE‐LC/MS and functional data mining

With its predicted proteome of 1550 proteins (data set Etalon) Helicobacter pylori 26695 represents a perfect model system of medium complexity for investigating basic questions in proteomics. We analyzed urea‐solubilized proteins by 2‐DE/MS (data set 2‐DE) and by 1‐DE‐LC/MS (Supprot); proteins insoluble in 9 M urea but solubilized by SDS (Pellet); proteins precipitating in the Sephadex layer at the application side of IEF (Sephadex) by 1‐DE‐LC/MS; and proteins precipitating close to the application side within the IEF gel by LC/MS (Startline). The experimental proteomics data of H. pylori comprising 567 proteins (protein coverage: 36.6%) were stored in the Proteome Database System for Microbial Research ( http://www.mpiib‐berlin.mpg.de/2D‐PAGE/ ), which gives access to raw mass spectra (MALDI‐TOF/TOF) in T2D format, as well as to text files of peak lists. For data mining the protein mapping and comparison tool PROMPT ( http://webclu.bio.wzw.tum.de/prompt/ ) was used. The percentage of proteins with transmembrane regions, relative to all proteins detected, was 0, 0.2, 0, 0.5, 3.8 and 6.3% for 2‐DE, Supprot, Startline, Sephadex, Pellet, and Etalon, respectively. 2‐DE does not separate membrane proteins because they are insoluble in 9 M urea/70 mM DTT and 2% CHAPS. SDS solubilizes a considerable portion of the urea‐insoluble proteins and makes them accessible for separation by SDS‐PAGE and LC. The 2‐DE/MS analysis with urea‐solubilized proteins and the 1‐DE‐LC/MS analysis with the urea‐insoluble protein fraction (Pellet) are complementary procedures in the pursuit of a complete proteome analysis. Access to the PROMPT‐generated diagrams in the Proteome Database allows the mining of experimental data with respect to other functional aspects.     

On‐plate enrichment of glycopeptides by using boronic acid functionalized gold‐coated Si wafer

Boronic acid functionalized gold‐coated Si wafer has been used as MALDI plate to isolate and enrich glycopeptides for MS analysis. This on‐plate enrichment strategy offers good benefits due to the combination of specific selectivity through enrichment and direct manipulation on the wafer. First, solution transfer and eluting steps required in conventional enrichment strategies are not needed any more, thereby reducing sample loss during these steps. Second, the LODs of glycopeptides have been increased by two orders of magnitude. Third, non‐specific bindings have not been detected even when non‐glycopeptides are 100 times more than glycopeptides. Furthermore, the recovery of glycopeptide is up to 65.8% and glycopeptides even can be sensitively detected in the presence of 200 mM ammonium bicarbonate or physiological buffer PBS.     

Ultrahigh pressure fast size exclusion chromatography for top‐down proteomics

Top‐down MS‐based proteomics has gained a solid growth over the past few years but still faces significant challenges in the LC separation of intact proteins. In top‐down proteomics, it is essential to separate the high mass proteins from the low mass species due to the exponential decay in S/N as a function of increasing molecular mass. SEC is a favored LC method for size‐based separation of proteins but suffers from notoriously low resolution and detrimental dilution. Herein, we reported the use of ultrahigh pressure (UHP) SEC for rapid and high‐resolution separation of intact proteins for top‐down proteomics. Fast separation of intact proteins (6–669 kDa) was achieved in < 7 min with high resolution and high efficiency. More importantly, we have shown that this UHP‐SEC provides high‐resolution separation of intact proteins using a MS‐friendly volatile solvent system, allowing the direct top‐down MS analysis of SEC‐eluted proteins without an additional desalting step. Taken together, we have demonstrated that UHP‐SEC is an attractive LC strategy for the size separation of proteins with great potential for top‐down proteomics.     

Comparison of sialylated N‐glycopeptide levels in serum of pancreatic cancer patients,acute pancreatitis patients,and healthy controls

Serum protein glycosylation is known to be affected by pathological conditions, including cancer and inflammatory diseases. Pancreatic cancer patients would benefit from early diagnosis, as the disease is often detected in an advanced stage and has poor prognosis. Searching for changes in serum protein site‐specific glycosylation could reveal novel glycoprotein biomarkers. We used Sambucus nigra lectin affinity chromatography to enrich α‐2,6 sialylated tryptic N‐glycopeptides from albumin‐depleted sera of pancreatic cancer patients, acute pancreatitis patients, and healthy individuals, and compared their relative abundance using ultra performance LC‐MS. Relative quantitation was done using the spectrum processing software MZmine. Identification was performed on the web‐based tool GlycopeptideID, developed for in silico analysis of intact N‐glycopeptides. Seventeen high‐abundance serum proteins, mainly acute‐phase proteins, and immunoglobulins, with total 27 N‐glycosylation sites, and 62 glycoforms, were identified. Pancreatitis patient sera contained 38, and pancreatic cancer patients sera contained 13 glycoform changes with statistical significance (p < 0.05). In pancreatitis, up to tenfold changes were found in some glycoforms, and in pancreatic cancer, threefold. Analysis showed that the changes often concerned one or two, but not all, N‐glycosylation sites in a specific glycoprotein. In conclusion, the analysis shows that pancreatic cancer, and acute pancreatitis are associated with changes in concentrations of intact sialylated N‐glycopeptides derived from acute‐phase proteins, and immunoglobulins, and that changes are site specific.     

On‐plate‐selective enrichment of glycopeptides using boronic acid‐modified gold nanoparticles for direct MALDI‐QIT‐TOF MS analysis

In this study, an on‐plate‐selective enrichment method is developed for fast and efficient glycopeptide investigation. Gold nanoparticles were first spotted and sintered on a stainless‐steel plate, then modified with 4‐mercaptophenylboronic acid to provide porous substrate with large specific surface and dual functions. These spots were used to selectively capture glycopeptides from peptide mixtures and the captured target peptides could be analyzed by MALDI‐MS simply by deposition of 2,5‐dihydroxybenzoic acid matrix. Horseradish peroxidase was employed as a standard glycoprotein to investigate the enrichment efficiency. In this way, the enrichment, washing and detection steps can all be fulfilled on a single MALDI target plate. The relatively small sample amount needed, low detection limit and rapid selective enrichment have made this on‐plate strategy promising for online enrichment of glycopeptides, which could be applied in high‐throughput proteome research.     

Retention time prediction using the model of liquid chromatography of biomacromolecules at critical conditions in LC‐MS phosphopeptide analysis

LC combined with MS/MS analysis of complex mixtures of protein digests is a reliable and sensitive method for characterization of protein phosphorylation. Peptide retention times (RTs) measured during an LC‐MS/MS run depend on both the peptide sequence and the location of modified amino acids. These RTs can be predicted using the LC of biomacromolecules at critical conditions model (BioLCCC). Comparing the observed RTs to those obtained from the BioLCCC model can provide additional validation of MS/MS‐based peptide identifications to reduce the false discovery rate and to improve the reliability of phosphoproteome profiling. In this study, energies of interaction between phosphorylated residues and the surface of RP separation media for both “classic” alkyl C18 and polar‐embedded C18 stationary phases were experimentally determined and included in the BioLCCC model extended for phosphopeptide analysis. The RTs for phosphorylated peptides and their nonphosphorylated analogs were predicted using the extended BioLCCC model and compared with their experimental RTs. The extended model was evaluated using literary data and a complex phosphoproteome data set distributed through the Association of Biomolecular Resource Facilities Proteome Informatics Research Group 2010 study. The reported results demonstrate the capability of the extended BioLCCC model to predict RTs which may lead to improved sensitivity and reliability of LC‐MS/MS‐based phosphoproteome profiling.     

Functional dual hydrophilic dendrimer‐modified metal‐organic framework for the selective enrichment of N‐glycopeptides

Analysis of protein glycosylation remains a significant challenge due to the low abundance of glycoproteins or N‐glycopeptides. Here we have synthesized an amino‐functionalized metal‐organic framework (MOF) MIL‐101(Cr)‐NH₂ whose surface is grafted with a hydrophilic dendrimer poly(amidoamine) (PAMAM) for N‐glycopeptide enrichment based on the hydrophilic interactions. The selected substrate MOF MIL‐101(Cr) owns high surface area which provides nice support for peptide adsorption. In addition, the MOF displayed a good hydrophilic property after being modified with amino groups. Most importantly, the grafted hydrophilic dendrimer PAMAM was firstly applied in the postsynthetic modification of MOFs. And this functionalization route using macromolecular dendrimer opens a new perspective in MOFs design. Owing to its long dendritic chains and abundant amino groups, our material displayed dual hydrophilic property. In the enrichment of standard glycoprotein HRP digestion, the functional MOF material was shown to have low detection limit (1 fmol/μL) and good selectivity when the concentration of nonglycopeptides was 100 fold higher than the target N‐glycopeptides. All the results proved that MIL‐101(Cr)‐NH₂@PAMAM has great potential in the glycoproteome analysis.     

Improving MHC‐I Ligand Identifications from LC‐MS/MS Data by Incorporating Allelic Peptide Motifs

MHC class I (MHC‐I)‐bound ligands play a pivotal role in CD8 T cell immunity and are hence of major interest in understanding and designing immunotherapies. One of the most commonly utilized approaches for detecting MHC ligands is LC‐MS/MS. Unfortunately, the effectiveness of current algorithms to identify MHC ligands from LC‐MS/MS data is limited because the search algorithms used were originally developed for proteomics approaches detecting tryptic peptides. Consequently, the analysis often results in inflated false discovery rate (FDR) statistics and an overall decrease in the number of peptides that pass FDR filters. Andreatta et al. describe a new scoring tool (MS‐rescue) for peptides from MHC‐I immunopeptidome datasets. MS‐rescue incorporates the existence of MHC‐I peptide motifs to rescore peptides from ligandome data. The tool is demonstrated here using peptides assigned from LC‐MS/MS data with PEAKs software but can be deployed on data from any search algorithm. This new approach increased the number of peptides identified by up to 20–30% and promises to aid the discovery of novel MHC‐I ligands with immunotherapeutic potential.     

基于质谱的蛋白质N末端乙酰化程度定量方法的研究

随着质谱技术及各种定量方法的不断完善和发展,定量蛋白质组学的方法不断地被应用到各类生物学研究中。蛋白质组学定性定量数据的处理主要通过一些多功能的商业化或者开源软件来进行,如常用的数据分析软件Proteome Discoverer和Maxquant。但是在通过化学标记对蛋白质N末端乙酰化程度进行定量这一方面,Proteome Discoverer和Maxquant在一定程度上存在准确性不高和完整度不够的问题。于是本研究针对自己的实验特点,通过Java算法编写了相应的定量程序Acequant来完成N末端乙酰化程度的相对定量。本研究将该程序在已有相关报道的He La cell上进行了验证,Acequant共定量到1 587个蛋白质N末端,而Proteome Discoverer和Maxquant分别只定量到42个和306个N末端。同时,手动验证原始图谱也证实了Acequant定量的准确性更好。于是,本研究将此方法进一步应用到秀丽隐杆线虫N末端乙酰化的研究中,并初步发现了线虫整体的N末端乙酰化状态,为进一步的N末端研究提供了支持。     

Thermo-msf-parser: an open source Java library to parse and visualize Thermo Proteome Discoverer msf files

The Thermo Proteome Discoverer program integrates both peptide identification and quantification into a single workflow for peptide-centric proteomics. Furthermore, its close integration with Thermo mass spectrometers has made it increasingly popular in the field. Here, we present a Java library to parse the msf files that constitute the output of Proteome Discoverer. The parser is also implemented as a graphical user interface allowing convenient access to the information found in the msf files, and in Rover, a program to analyze and validate quantitative proteomics information. All code, binaries, and documentation is freely available at http://thermo-msf-parser.googlecode.com.     

Systematic Evaluation of Immobilized Trypsin‐Based Fast Protein Digestion for Deep and High‐Throughput Bottom‐Up Proteomics

Immobilized trypsin (IM) has been recognized as an alternative to free trypsin (FT) for accelerating protein digestion 30 years ago. However, some questions of IM still need to be answered. How does the solid matrix of IM influence its preference for protein cleavage and how well can IM perform for deep bottom‐up proteomics compared to FT? By analyzing Escherichia coli proteome samples digested with amine or carboxyl functionalized magnetic bead–based IM (IM‐N or IM‐C) or FT, it is observed that IM‐N with the nearly neutral solid matrix, IM‐C with the negatively charged solid matrix, and FT have similar cleavage preference considering the microenvironment surrounding the cleavage sites. IM‐N (15 min) and FT (12 h) both approach 9000 protein identifications (IDs) from a mouse brain proteome. Compared to FT, IM‐N has no bias in the digestion of proteins that are involved in various biological processes, are located in different components of cells, have diverse functions, and are expressed in varying abundance. A high‐throughput bottom‐up proteomics workflow comprising IM‐N‐based rapid protein cleavage and fast CZE‐MS/MS enables the completion of protein sample preparation, CZE‐MS/MS analysis, and data analysis in only 3 h, resulting in 1000 protein IDs from the mouse brain proteome.     

PTM MarkerFinder,a software tool to detect and validate spectra from peptides carrying post‐translational modifications

Mass spectrometry (MS) analysis of peptides carrying post‐translational modifications is challenging due to the instability of some modifications during MS analysis. However, glycopeptides as well as acetylated, methylated and other modified peptides release specific fragment ions during CID (collision‐induced dissociation) and HCD (higher energy collisional dissociation) fragmentation. These fragment ions can be used to validate the presence of the PTM on the peptide. Here, we present PTM MarkerFinder, a software tool that takes advantage of such marker ions. PTM MarkerFinder screens the MS/MS spectra in the output of a database search (i.e., Mascot) for marker ions specific for selected PTMs. Moreover, it reports and annotates the HCD and the corresponding electron transfer dissociation (ETD) spectrum (when present), and summarizes information on the type, number, and ratios of marker ions found in the data set. In the present work, a sample containing enriched N‐acetylhexosamine (HexNAc) glycopeptides from yeast has been analyzed by liquid chromatography‐mass spectrometry on an LTQ Orbitrap Velos using both HCD and ETD fragmentation techniques. The identification result (Mascot .dat file) was submitted as input to PTM MarkerFinder and screened for HexNAc oxonium ions. The software output has been used for high‐throughput validation of the identification results.     

ICPLQuant – A software for non‐isobaric isotopic labeling proteomics

The main goal of many proteomics experiments is an accurate and rapid quantification and identification of regulated proteins in complex biological samples. The bottleneck in quantitative proteomics remains the availability of efficient software to evaluate and quantify the tremendous amount of mass spectral data acquired during a proteomics project. A new software suite, ICPLQuant, has been developed to accurately quantify isotope‐coded protein label (ICPL)‐labeled peptides on the MS level during LC‐MALDI and peptide mass fingerprint experiments. The tool is able to generate a list of differentially regulated peptide precursors for subsequent MS/MS experiments, minimizing time‐consuming acquisition and interpretation of MS/MS data. ICPLQuant is based on two independent units. Unit 1 performs ICPL multiplex detection and quantification and proposes peptides to be identified by MS/MS. Unit 2 combines MASCOT MS/MS protein identification with the quantitative data and produces a protein/peptide list with all the relevant information accessible for further data mining. The accuracy of quantification, selection of peptides for MS/MS‐identification and the automated output of a protein list of regulated proteins are demonstrated by the comparative analysis of four different mixtures of three proteins (Ovalbumin, Horseradish Peroxidase and Rabbit Albumin) spiked into the complex protein background of the DGPF Proteome Marker.     

Isotype‐specific glycosylation analysis of mouse IgG by LC‐MS

With mice being the top model organism in immunology and with Fc glycosylation being increasingly recognized as important modulator of antibody function, the time has come to take a look at the glycosylation of mouse IgG isotypes. Tryptic glycopeptides of mouse IgG1, IgG2, and IgG3 differ in mass and so these three isoforms can be easily discriminated by MS. Commercial IgG contained a rare IgG1 variant but no IgG3, which, however, was found in sera of C57BL/6 and BALB/c mice. These strains deviated with regard to IgG2a and IgG2b alleles. The Ig2a B allele was not observed in any of the four samples investigated. All a/c isotypes contain the same glycopeptide sequence, which deviates from that of IgG2b by containing Leu instead of Ile. The Leu/Ile glycopeptide variants were separated by RP chromatography and the order of elution was determined. The major glycoforms on all isotypes were fucosylated with no and one galactose (GnGnF and GnAF) followed by fully galactosylated AAF and smaller amounts of mono‐ and disialylated N‐glycans. In the commercial serum pool, the relative ratios of glycans differed between isotypes. Sialic acid exclusively occurred as N‐glycolylneuraminic acid. Fucosylation was essentially complete. No bisected and no α1,3‐galactosylated glycans were found.     

Intact protein profiling in breast cancer biomarker discovery: Protein identification issue and the solutions based on 3D protein separation,bottom‐up and top‐down mass spectrometry

Proteomics profiling of intact proteins based on MALDI‐TOF MS and derived platforms has been used in cancer biomarker discovery studies. This approach suffers from a number of limitations such as low resolution, low sensitivity, and that no knowledge is available on the identity of the respective proteins in the discovery mode. Nevertheless, it remains the most high‐throughput, untargeted mode of clinical proteomics studies to date. Here we compare key protein separation and MS techniques available for protein biomarker identification in this type of studies and define reasons of uncertainty in protein peak identity. As a result of critical data analysis, we consider 3D protein separation and identification workflows as optimal procedures. Subsequently, we present a new protocol based on 3D LC‐MS/MS with top‐down at high resolution that enabled the identification of HNRNP A2/B1 intact peptide as correlating with the estrogen receptor expression in breast cancer tissues. Additional development of this general concept toward next generation, top‐down based protein profiling at high resolution is discussed.     

MSDA,a proteomics software suite for in‐depth Mass Spectrometry Data Analysis using grid computing

One of the major bottlenecks in the proteomics field today resides in the computational interpretation of the massive data generated by the latest generation of high‐throughput MS instruments. MS/MS datasets are constantly increasing in size and complexity and it becomes challenging to comprehensively process such huge datasets and afterwards deduce most relevant biological information. The Mass Spectrometry Data Analysis (MSDA, https://msda.unistra.fr ) online software suite provides a series of modules for in‐depth MS/MS data analysis. It includes a custom databases generation toolbox, modules for filtering and extracting high‐quality spectra, for running high‐performance database and de novo searches, and for extracting modified peptides spectra and functional annotations. Additionally, MSDA enables running the most computationally intensive steps, namely database and de novo searches, on a computer grid thus providing a net time gain of up to 99% for data processing.     

MS‐based ligand binding assays with speed,sensitivity, and specificity

Immunoassays are widely used in biochemical/clinical laboratories owing to their simplicity, speed, and sensitivity. We combined self‐assembled monolayer‐based immunoassays with MALDI‐TOF MS to show that high‐fidelity surface preparations with a novel matrix deposition/crystallization technique permits quantitative analysis of monolayer‐bound antigens at picomolar detection limits. Calibration curves for intact proteins are possible over a broad concentration range and improved specificity of MS‐immunoassays is highlighted by simultaneous label‐free quantitation of ligand‐bound protein complexes.