12 research outputs found
Exploiting Differential Dissociation Chemistries of O-Linked Glycopeptide Ions for the Localization of Mucin-Type Protein Glycosylation
Dual polarity accurate mass calibration for electrospray ionization and matrix-assisted laser desorption/ionization mass spectrometry using maltooligosaccharides
In view of the fact that memory effects associated with instrument calibration hinder the use of many mass-to-charge (
m/
z) ratios and tuning standards, identification of robust, comprehensive, inexpensive, and memory-free calibration standards is of particular interest to the mass spectrometry community. Glucose and its isomers are known to have a residue mass of 162.05282
Da; therefore, both linear and branched forms of polyhexose oligosaccharides possess well-defined masses, making them ideal candidates for mass calibration. Using a wide range of maltooligosaccharides (MOSs) derived from commercially available beers, ions with
m/z ratios from approximately 500 to 2500
Da or more have been observed using Fourier transform ion cyclotron resonance mass spectrometry (FT–ICR–MS) and time-of-flight mass spectrometry (TOF–MS). The MOS mixtures were further characterized using infrared multiphoton dissociation (IRMPD) and nano-liquid chromatography/mass spectrometry (nano-LC/MS). In addition to providing well-defined series of positive and negative calibrant ions using either electrospray ionization (ESI) or matrix-assisted laser desorption/ionization (MALDI), the MOSs are not encumbered by memory effects and, thus, are well-suited mass calibration and instrument tuning standards for carbohydrate analysis
Analytical Performance of Immobilized Pronase for Glycopeptide Footprinting and Implications for Surpassing Reductionist Glycoproteomics
A fully developed understanding of protein glycosylation requires characterization of the modifying oligosaccharides, elucidation of their covalent attachment sites, and determination of the glycan heterogeneity at specific sites. Considering the complexity inherent to protein glycosylation, establishing these features for even a single protein can present an imposing challenge. In order to meet the demands of glycoproteomics, the capability to screen far more complex systems of glycosylated proteins must be developed. Although the proteome wide examination of carbohydrate modification has become an area of keen interest, the intricacy of protein glycosylation has frustrated the progress of large scale, systems oriented research on site-specific protein-glycan relationships. Indeed, the analytical obstacles in this area have been more instrumental in shaping the current glycoproteomic paradigm than have the diverse functional roles and ubiquitous nature of glycans. This report describes the ongoing development and analytically salient features of bead immobilized pronase for glycosylation site footprinting. The present work bears on the ultimate goal of providing analytical tools capable of addressing the diversity of protein glycosylation in a more comprehensive and efficient manner. In particular, this approach has been assessed with respect to reproducibility, sensitivity, and tolerance to sample complexity. The efficiency of pronase immobilization, attainable pronase loading density, and the corresponding effects on glycoprotein digestion rate were also evaluated. In addition to being highly reproducible, the immobilized enzymes retained a high degree of proteolytic activity after repeat usage for up to 6 weeks. This method also afforded a low level of chemical background and provided favorable levels of sensitivity with respect to traditional glycoproteomic strategies. Thus, the application of immobilized pronase shows potential to contribute to the advancement of more comprehensive glycoproteomic research methods that are capable of providing site-specific glycosylation and microheterogeneity information across many proteins
Analytical Performance of Immobilized Pronase for Glycopeptide Footprinting and Implications for Surpassing Reductionist Glycoproteomics
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Factors that influence fragmentation behavior of N-linked glycopeptide ions
The investigation of site-specific glycosylation is essential for further understanding the many biological roles that glycoproteins play; however, existing methods for characterizing site-specific glycosylation are either slow or yield incomplete information. Mass spectrometry (MS) is being applied to investigate site-specific glycosylation with bottom-up proteomic type strategies. When using these approaches, tandem mass spectrometry techniques are often essential to verify glycopeptide composition, minimize false positives, and investigate structure. The fragmentation behavior of glycopeptide ions has previously been investigated with multiple techniques including collision induced dissociation (CID), infrared multiphoton dissociation (IRMPD) and electron capture dissociation (ECD); however, due to the almost exclusive analysis of multiply protonated tryptic glycopeptide ions, some dissociation behaviors of N-linked glycopeptide ions have not been fully elucidated. In this study, IRMPD of N-linked glycopeptides has been investigated with focus on: the effects of charge state, charge carrier, glycan composition, and peptide composition. Each of these parameters was shown to influence the fragmentation behavior of N-linked glycopeptide ions. For example, in contrast to previously reported accounts that IRMPD results only in glycosidic bond cleavage, the fragmentation of singly protonated glycopeptide ions containing a basic amino acid residue almost exclusively resulted in peptide backbone cleavage. The fragmentation of the doubly protonated glycopeptide ion exhibited fragmentation similar to that previously reported; however, when the same glycopeptide was sodium coordinated, a previously inaccessible series of glycan fragments were observed. Molecular modeling calculations suggest that differences in the site of protonation and metal ion coordination may direct glycopeptide ion fragmentation
In-Gel Nonspecific Proteolysis for Elucidating Glycoproteins: A Method for Targeted Protein-Specific Glycosylation Analysis in Complex Protein Mixtures
Determining protein-specific glycosylation in protein
mixtures
remains a difficult task. A common approach is to use gel electrophoresis
to isolate the protein followed by glycan release from the identified
band. However, gel bands are often composed of several proteins. Hence,
release of glycans from specific bands often yields products not from
a single protein but a composite. As an alternative, we present an
approach whereby glycans are released with peptide tags allowing verification
of glycans bound to specific proteins. We term the process in-gel
nonspecific proteolysis for elucidating glycoproteins (INPEG). INPEG
combines rapid gel separation of a protein mixture with in-gel nonspecific
proteolysis of protein bands followed by tandem mass spectrometry
(MS) analysis of the resulting N- and O-glycopeptides. Here, in-gel
digestion is shown for the first time with nonspecific and broad specific
proteases such as Pronase, proteinase K, pepsin, papain, and subtilisin.
Tandem MS analysis of the resulting glycopeptides separated on a porous
graphitized carbon (PGC) chip was achieved via nanoflow liquid chromatography
coupled with quadrupole time-of-flight mass spectrometry (nano-LC/Q-TOF
MS). In this study, rapid and automated glycopeptide assignment was
achieved via an in-house software (Glycopeptide Finder) based on a
combination of accurate mass measurement, tandem MS data, and predetermined
protein identification (obtained via routine shotgun analysis). INPEG
is here initially validated for O-glycosylation (κ casein) and
N-glycosylation (ribonuclease B). Applications of INPEG were further
demonstrated for the rapid determination of detailed site-specific
glycosylation of lactoferrin and transferrin following gel separation
and INPEG analysis on crude bovine milk and human serum, respectively
Automated Assignments of N- and O‑Site Specific Glycosylation with Extensive Glycan Heterogeneity of Glycoprotein Mixtures
Site-specific glycosylation (SSG)
of glycoproteins remains a considerable
challenge and limits further progress in the areas of proteomics and
glycomics. Effective methods require new approaches in sample preparation,
detection, and data analysis. While the field has advanced in sample
preparation and detection, automated data analysis remains an important
goal. A new bioinformatics approach implemented in software called
GP Finder automatically distinguishes correct assignments from random
matches and complements experimental techniques that are optimal for
glycopeptides, including nonspecific proteolysis and high mass resolution
liquid chromatography/tandem mass spectrometry (LC/MS/MS). SSG for
multiple N- and O-glycosylation sites, including extensive glycan
heterogeneity, was annotated for single proteins and protein mixtures
with a 5% false-discovery rate, generating hundreds of nonrandom glycopeptide
matches and demonstrating the proof-of-concept for a self-consistency
scoring algorithm shown to be compliant with the target-decoy approach
(TDA). The approach was further applied to a mixture of N-glycoproteins
from unprocessed human milk and O-glycoproteins from very-low-density-lipoprotein
(vLDL) particles