Development of a 3D-LC/MS Workflow for Fast, Automated, and Effective Characterization of Glycosylation Patterns of Biotherapeutic Products.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
17 03 2020
Historique:
pubmed: 23 2 2020
medline: 20 1 2021
entrez: 22 2 2020
Statut: ppublish

Résumé

Glycosylation is a common post-translational modification of therapeutic monoclonal antibodies produced in mammalian cells and is considered an important critical quality attribute (CQA), as it is known to impact efficacy, stability, half-life, and immunogenicity. For these reasons, glycosylation requires characterization and close monitoring during the manufacturing process. Due to the complexity of the glycosylation patterns, sophisticated analytical tools with high resolving power are required for the characterization of the glycoforms. This study describes, for the first time, the development and use of an online three-dimensional high-performance liquid chromatography/mass spectrometry (3D-HPLC/MS) approach for the monitoring of glycosylation patterns at the middle-up level. An immobilized IdeS-enzyme column was used in the first dimension for the digestion of mAbs in 10 min. Then, following an online reversed phase liquid chromatography (RPLC) column reduction, the ≈25 kDa proteolytic fragments were analyzed using hydrophilic interaction chromatography (HILIC) coupled to MS. This novel analytical workflow demonstrated the ability to accurately profile glycosylated variants within a total run time of 95 min. To compare the performance of this analytical strategy with a conventional offline procedure (IdeS digestion x reduction-HILIC/MS), a proof of concept study using two mAbs is described here.

Identifiants

pubmed: 32079391
doi: 10.1021/acs.analchem.9b05193
doi:

Substances chimiques

Antibodies, Monoclonal 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4357-4363

Auteurs

Julien Camperi (J)

Protein Analytical Chemistry, Genentech, 1 DNA Way, South San Francisco, California 94080, United States.

Lu Dai (L)

Protein Analytical Chemistry, Genentech, 1 DNA Way, South San Francisco, California 94080, United States.

Davy Guillarme (D)

School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, CMU, Rue Michel-Servet, 1, 1206 Geneva, Switzerland.

Cinzia Stella (C)

Protein Analytical Chemistry, Genentech, 1 DNA Way, South San Francisco, California 94080, United States.

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Classifications MeSH