Liquid chromatography–tandem mass spectrometry glycoproteomic study of porcine IgG and detection of subtypes
Autor: | Gideon Ong, Hélène Perreault, Baylie Gigolyk, Milan V. Teraiya, Raymond Bacala, Taylor Battellino |
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Rok vydání: | 2021 |
Předmět: |
Proteomics
Glycan Glycosylation Electrospray ionization Sus scrofa Mass spectrometry 01 natural sciences Analytical Chemistry Gene Knockout Techniques Tandem Mass Spectrometry Liquid chromatography–mass spectrometry Animals Amino Acid Sequence Spectroscopy Glycoproteins Chromatography biology Chemistry 010401 analytical chemistry Organic Chemistry Glycopeptides 0104 chemical sciences Glycoproteomics Triple quadrupole mass spectrometer Immunoglobulin G Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization GenBank biology.protein Immunoglobulin Heavy Chains Chromatography Liquid |
Zdroj: | Rapid Communications in Mass Spectrometry. 35 |
ISSN: | 1097-0231 0951-4198 |
Popis: | Rationale While high-throughput proteomic methods have been widely applied to monoclonal antibodies and human immunoglobulin gamma (IgG) samples, less information is available on porcine IgG. As pigs are considered one of the most suitable species for xenotransplantation, it is important to characterize IgG amino acid sequences and glycosylation profiles, which is the focus of this study. Methods Three different purified porcine IgG samples, including wild-type and knockout species, were digested with trypsin and enriched for glycopeptides. Digestion mixtures were spiked with a mixture of six standard peptides. Analysis was performed using electrospray ionization liquid chromatography-tandem mass spectrometry (MS/MS) in standard MS/MS data-dependent acquisition mode on a hybrid triple quadrupole time-of-flight mass spectrometer. Results To facilitate the classification of subtypes detected experimentally, UniprotKB database entries were organized using comparative alignment scores. Sequences were grouped based on 11 different subtypes as translated from GenBank entries. Proteomic searches were accomplished automatically using specialized software, whereas glycoprotein searches were performed manually by monitoring the extracted chromatograms of diagnostic MS/MS glycan fragments and studying their corresponding mass spectra; 40-50 non-glycosylated peptides and 4-5 glycosylated peptides were detected in each sample, with several glycoforms per sequence. Conclusions Proteomic analysis of porcine IgG is complicated by factors such as the presence of several subtypes, redundant heavy chain (HC) sequences in protein databases, and the lack of consistent cross-referencing between databases. Aligning and comparing HC sequences were necessary to eliminate redundancy. This study highlights the complexity of pig IgG and shows the importance of MS in proteomics and glycoproteomics. |
Databáze: | OpenAIRE |
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