Exploring the Chemical Space of Protein Glycosylation in Noncovalent Protein Complexes: An Expedition along Different Structural Levels of Human Chorionic Gonadotropin by Employing Mass Spectrometry.
Maximilian LebedeFiammetta Di MarcoWolfgang Esser-SkalaRené HennigTherese WohlschlagerChristian G HuberPublished in: Analytical chemistry (2021)
Modern analytical approaches employing high-resolution mass spectrometry (MS) facilitate the generation of a vast amount of structural data of highly complex glycoproteins. Nevertheless, systematic interpretation of this data at different structural levels remains an analytical challenge. The glycoprotein utilized as a model system in this study, human chorionic gonadotropin (hCG), exists as a heterodimer composed of two heavily glycosylated subunits. In order to unravel the multitude of glycoforms of recombinant hCG (drug product Ovitrelle), we combine established techniques, such as released glycan and glycopeptide analysis, with novel approaches employing high-performance liquid chromatography-mass spectrometry (HPLC-MS) to characterize protein subunits and native MS to analyze the noncovalent hCG complex. Starting from the deconvoluted mass spectrum of dimeric hCG comprising about 50 signals, it was possible to explore the chemical space of hCG glycoforms and elucidate the complexity that hides behind just 50 signals. Systematic, stepwise integration of data obtained at the levels of released glycans, glycopeptides, and subunits using a computational annotation tool allowed us to reveal 1031 underlying glycoforms. Additionally, critical quality attributes such as sialylation and core fucosylation were compared for two batches of Ovitrelle to assess the potential product variability.
Keyphrases
- mass spectrometry
- liquid chromatography
- high performance liquid chromatography
- high resolution mass spectrometry
- tandem mass spectrometry
- simultaneous determination
- gas chromatography
- ultra high performance liquid chromatography
- solid phase extraction
- endothelial cells
- capillary electrophoresis
- ms ms
- electronic health record
- high resolution
- big data
- protein protein
- amino acid
- binding protein
- pluripotent stem cells
- gene expression
- emergency department
- multiple sclerosis
- machine learning