Monitoring of antibody glycosylation pattern based on microarray MALDI-TOF mass spectrometry.

MALDI-MS Microarray for mass spectrometry (MAMS) Monoclonal antibody N-linked glycosylation Perfusion bioreactor

Journal

Journal of biotechnology
ISSN: 1873-4863
Titre abrégé: J Biotechnol
Pays: Netherlands
ID NLM: 8411927

Informations de publication

Date de publication:
20 Aug 2019
Historique:
received: 07 02 2019
revised: 11 06 2019
accepted: 26 06 2019
pubmed: 2 7 2019
medline: 31 12 2019
entrez: 2 7 2019
Statut: ppublish

Résumé

Biologically manufactured monoclonal antibodies (mAb) can strongly vary in their efficacy and affinity. Therefore, engineering and production of the mAb is highly regulated and requires product monitoring, especially in terms of N-glycosylation patterns. In this work, we present a high-throughput matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) method based on a microarray technology to monitor N-glycopeptides of IgG1 produced in a perfusion cell culture. A bottom-up approach combined with zwitterionic-hydrophilic interaction liquid chromatography for sample purification was used to determine the day-by-day variation of the terminal galactose within two major N-glycoforms. Our results show that microarrays for mass spectrometry (MAMS) are a robust platform for the rapid determination of the carbohydrate distribution. The spectral repeatability is characterized by a low coefficient of variations (1.7% and 7.1% for the FA2 and FA2G1 structures, respectively) and allows to detect the N-glycosylation variability resulting from operating conditions during the bioreactor process. The observed trend of released N-glycans was confirmed using capillary gel electrophoresis with laser-induced fluorescence detection. Therefore, the microarray technology is a promising analytical tool for glycosylation control during the production process of recombinant proteins.

Identifiants

pubmed: 31260704
pii: S0168-1656(19)30792-8
doi: 10.1016/j.jbiotec.2019.06.306
pii:
doi:

Substances chimiques

Antibodies, Monoclonal 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

77-84

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Joanna Hajduk (J)

Laboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zurich, CH-8093, Zurich, Switzerland.

Moritz Wolf (M)

Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, CH-8093, Zurich, Switzerland.

Robert Steinhoff (R)

Laboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zurich, CH-8093, Zurich, Switzerland.

Daniel Karst (D)

Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, CH-8093, Zurich, Switzerland.

Jonathan Souquet (J)

Biotech Process Science Technology & Innovation, Merck-Serono S.A., Corsier-sur-Vevey, Switzerland.

Hervé Broly (H)

Biotech Process Science Technology & Innovation, Merck-Serono S.A., Corsier-sur-Vevey, Switzerland.

Massimo Morbidelli (M)

Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, CH-8093, Zurich, Switzerland.

Renato Zenobi (R)

Laboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zurich, CH-8093, Zurich, Switzerland. Electronic address: zenobi@org.chem.ethz.ch.

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Classifications MeSH