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https://doi.org/10.1007/10_202...
Part of book or chapter of book . 2020 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
MPG.PuRe
Part of book or chapter of book . 2020
Data sources: MPG.PuRe
MPG.PuRe
Part of book or chapter of book . 2021
Data sources: MPG.PuRe
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Glycoproteomics Technologies in Glycobiotechnology

Authors: Kathirvel Alagesan; Marcus Hoffmann; Erdmann Rapp; Daniel Kolarich;

Glycoproteomics Technologies in Glycobiotechnology

Abstract

Glycosylation is a key factor determining the pharmacological properties of biotherapeutics, including their stability, solubility, bioavailability, pharmacokinetics, and immunogenicity. As such, comprehensive information about glycosylation of biotherapeutics is critical to demonstrate similarity. Regulatory agencies also require extensive documentation of the comprehensive analyses of glycosylation-related critical quality attributes (CQAs) during the development, manufacturing, and release of biosimilars. Mass spectrometry has catalysed tremendous advancements in the characterisation of glycosylation CQAs of biotherapeutics. Here we provide a perspective overview on the MS-based technologies relevant for biotherapeutic product characterisation with an emphasis on the recent developments that allow determination of glycosylation features such as site of glycosylation, sialic acid linkage, glycan structure, and content.

Keywords

Analytics, Biochemistry & Molecular Biology, Glycosylation, Pharmacology and pharmaceutical sciences not elsewhere classified, Glycobiology, Proteomics and intermolecular interactions (excl. medical proteomics), Mass Spectrometry, Biopharmaceuticals, Biotechnology & Applied Microbiology, capillary-electrophoresis, Polysaccharides, Biochemistry and cell biology, Medical biochemistry - proteins and peptides (incl. medical proteomics), Glycoconjugates, Analytical biochemistry, Biosimilar Pharmaceuticals

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green