Search

Rationale: A general N‐glycoproteomics analysis pipeline has been established for characterization of mutation‐related gain‐of‐glycosylation (GoG) at intact N‐glycopeptide molecular level, generating comprehensive site and structure information of N‐glycosylation. Methods: This study focused on mutation‐originated GoG using a mass spectrometry‐based N‐glycoproteomics analysis workflow. In brief, GoG intact N‐glycopeptide databases were built, consisting of 2701 proteins (potential GoG N‐glycosites and amino acids derived from MUTAGEN, VARIANT and VAR_SEQ in UniProt) and 6709 human N‐glycans (≤50 sequence isomers per monosaccharide composition). We employed the site‐ and structure‐specific N‐glycoproteomics workflow utilizing intact N‐glycopeptides search engine GPSeeker to identify GoG intact N‐glycopeptides from parental breast cancer stem cells (MCF‐7 CSCs) and adriamycin‐resistant breast cancer stem cells (MCF‐7/ADR CSCs). Results: With the criteria of spectrum‐level false discovery rate control of ≤1%, we identified 87 and 94 GoG intact N‐glycopeptides corresponding to 37 and 35 intact N‐glycoproteins from MCF‐7 CSCs and MCF‐7/ADR CSCs, respectively. Micro‐heterogeneity and macro‐heterogeneity of N‐glycosylation from GoG intact N‐glycoproteins with VAR_SEQ and VARIANT were found in both MCF‐7 CSCs and MCF‐7/ADR CSCs systems. Conclusions: The integration of site‐ and structure‐specific N‐glycoproteomics approach, conjugating with GoG characterization, provides a universal workflow for revealing comprehensive N‐glycosite and N‐glycan structure information of GoG. The analysis of mutation‐originated GoG can be extended to GoG characterization of other N‐glycoproteome systems including complex clinical tissues and body fluids. [ABSTRACT FROM AUTHOR]

Rationale: The functional study and application of an intact glycoprotein require the structural characterization of both the protein backbone and the glycan moiety; the former has been successfully demonstrated with selective fragmentation of the protein backbone in CID and ExD; whether the latter can be achieved with selective fragmentation of the glycan moiety remains to be explored. Methods: RNase B solution was electrosprayed and its intact glycoforms of GlcNAc2Mann (n = 5–9) with the highest abundance (charge state z = 16) were isolated individually and fragmented using CID, ETD, HCD, ETciD, and EThcD on the Orbitrap Fusion Lumos Tribrid mass spectrometer; the dissociation parameters were optimized for selective fragmentation of the N‐glycan moiety and protein backbone as well as high sequence coverage. The obtained spectra were interpreted using the protein and N‐glycan database search engines ProteinGoggle and GlySeeker, respectively. Results: With exploration of different dissociation parameters for all the five methods, selective fragmentation of the N‐glycan moiety (the protein backbone staying intact) was observed in both HCD and EThcD at low collisional energies, but only a few matched product ions were observed; more comprehensive fragmentation was observed at high collisional energies (the protein backbone lost). Selective protein backbone fragmentation was observed in all the five dissociation methods. Conclusions: For comprehensive structural characterization of intact N‐glycoproteins using tandem mass spectrometry, the composition and topology of the N‐glycan moiety can be identified using HCD and EThcD complementarily at low and high energies; while the amino acid sequence and glycosite can be identified using CID, ETD, HCD, ETciD, and EThcD with their optimal dissociation parameters. [ABSTRACT FROM AUTHOR]

Rationale: Most of the current popular tandem mass spectrometers have the capability of resolving the primary structures (monosaccharide composition, sequence and linkage) of N-glycans; however, compositions or putative structures have mostly been reported so far. Identification and visualization tools of N-glycans are needed. Methods: The isotopic mass-to-charge ratio and envelope fingerprinting algorithm, which has been successfully used for intact protein database search and identification, was adapted for N-glycan database search, and a stand-alone N-glycan database search engine, GlySeeker, for automated N-glycan identification and visualization was developed and successfully benchmarked. Both pseudo 2D graph and one-line text formats with one-letter symbols for monosaccharides were proposed for representing N-glycans. N-glycans were identified with comprehensive interpretation of product ions and false discovery rate (FDR) control. Results: In a database search of reversed-phase liquid chromatography/tandem mass spectrometry (RPLC/MS/MS) datasets of the N-glycome enriched from OVCAR-3 ovarian cancer cells, with FDR ≤1% and number of best hits (NoBHs) = 1-30, 1525 N-glycans with comprehensive primary structural information (composition, sequence and linkage) were identified and visualized; among these 1525 N-glycans, 559 had NoBHs = 1, i.e. their structures were uniquely identified. This represents a large-scale identification and visualization of N-glycans with primary structures from tandem mass spectra. Conclusions: A stand-alone N-glycan database search engine called GlySeeker has been developed for large-scale identification and visualization of N-glycans with comprehensive interpretation of tandem mass spectra and FDR control. [ABSTRACT FROM AUTHOR]

Rationale The mass measurement accuracy (MMA) of Orbitrap mass spectrometers is 1-5 ppm according to the manufacturer's specification; yet, up to 50 ppm has been used as mass tolerance to interpret Orbitrap data in the literature. A systematic evaluation of MMA is thus necessary to find the optimal mass tolerance to be used. Methods Reversed-phase liquid chromatography/tandem mass spectrometry (RPLC/MS/MS) analyses of the intact E. coli proteome were carried out on a Q Exactive Orbitrap mass spectrometer coupled to a Dionex UltiMate 3000 RSLCnano system. The analysis included three technical replicates each day and was repeated for six continuous days right after a mass calibration. The obtained raw datasets were searched using ProteinGoggle 2.0 under four different mass tolerances of 5, 10, 15, and 20 ppm. Results With both forward and random database searches and FDR ≤1% at the spectrum level, the most protein spectrum matches and protein IDs were obtained at a mass tolerance of 15 ppm. The average mass accuracy of both precursor and product ions from three representative high, medium, and low abundance proteins as well as the common proteins identified in all the 18 replicate runs was found to be 0-4 ppm; and no significant drift of measured mass accuracy was observed within the calibration period of 1 week. Conclusions Despite the mass measurement accuracy of 1-5 ppm of the Orbitrap stated by the manufacturer, the optimal mass tolerance for protein identification was found to be 15 ppm for both the precursor and product ions. Weekly mass calibration is appropriate because no significant drift in MMA was found within the 6-day period. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

RATIONALE Soft ionization, high-resolution mass spectrometry is widely used to characterize large biological molecules, such as proteins. Deconvolution ('deisotoping') of isotopic envelopes (iEs) in biological mass spectra into monoisotopic or average masses is challenging due to low signals and heavily overlapped iEs, resulting in many wrong interpretations. METHODS Isotopic envelopes (iEs) are directly used without deisotoping to identify biological molecules. An algorithm, isotopic mass-to-charge ratio ( m/z) and envelope fingerprinting (iMEF), was implemented in the ProteinGoggle search engine for top-down intact protein database searching. iMEF combines isotopic m/z fingerprinting (iMF) and isotopic envelop fingerprinting (iEF), where 'Isotopic mass-to-charge ratio' means the m/z value of the most abundant isotopic peak within the iE of a precursor or product ion. iMF is used to 'fish' precursor or product ion candidates from the database, which is pre-built and contains all iE information (precursor and product ions) of all proteoforms of the studied system. iEF identifies matching precursor or product ions. A protein is finally identified with user-specified total number of matching product ions and post-translational modification scores. RESULTS The working principles of iMEF and ProteinGoggle, and the definition of a set of related parameters and scoring metrics, are illustrated with high-resolution tandem mass spectrometric analysis of a mixture of ubiquitin and the HUMAN histone H4 proteoforms. Ubiquitin was confidently identified from its CID, ETD, and HCD spectra with 57, 91, and 66 matching product ions, respectively; 125 proteoforms were confidently found from the H4 dataset. The locations of PTMs in 54 and 6 isoforms were partially and fully identified. CONCLUSIONS Database search with iMEF bypasses 'deisotoping' avoiding associated errors, and also provides full quality control of matching precursor and product ions and finally protein IDs. Overlapped iEs of different product ions could also be confidently unwrapped in situ. Improvement and addition of more functionalities and utilities of ProteinGoggle are underway. Copyright © 2013 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Rationale: We previously isolated antibodies binding to glycopeptide neoantigen epitopes centering the GSTA sequence of the highly glycosylated tandem repeat region of MUC1. Epitopes centering the GSTA sequence are also predicted by NetMHC programs to bind to MHC molecules. Detecting MUC1 glycopeptide epitopes remains a challenge since antigenic epitopes are often shorter than 10 amino acids. Methods: In this study, we used pronase from Streptomyces griseus, which has no amino acid sequence preference for enzymatic cleavage sites, to digest synthetic glycopeptides RPAPGST (Tn)APPAHG and RPAPGS (Tn)TAPPAHG, and analyzed the digests by liquid chromatography/mass spectrometry (LC/MS) using electron transfer dissociation (ETD) and higher‐energy collisional dissociation (HCD) methods with an Orbitrap Fusion Lumos Tribid mass spectrometer. Results: We found that short glycopeptides containing 8 to 11 amino acids could be efficiently generated by pronase digestion. Such glycopeptides of minimal epitope lengths were clearly distinguished by characteristic MS/MS ion patterns and LC elution profiles. A glycopeptide library was generated which may serve as a standard for measuring neoantigen epitopes centering the GSTA sequence. Conclusions: Our data established the LC/MS/MS identities of a clinically relevant MUC1 glycopeptide neoantigen epitope centering the GSTA motif. A library of short MUC1 glycopeptides centered on the GSTA motif was created, which is a critical step for analysis of such antigen epitopes in real biological samples. [ABSTRACT FROM AUTHOR]