Literature DB >> 27131894

High-throughput profiling of nucleotides and nucleotide sugars to evaluate their impact on antibody N-glycosylation.

Thomas K Villiger1, Robert F Steinhoff2, Marija Ivarsson1, Thomas Solacroup3, Matthieu Stettler3, Hervé Broly3, Jasmin Krismer2, Martin Pabst2, Renato Zenobi2, Massimo Morbidelli1, Miroslav Soos4.   

Abstract

Recent advances in miniaturized cell culture systems have facilitated the screening of media additives on productivity and protein quality attributes of mammalian cell cultures. However, intracellular components are not routinely measured due to the limited throughput of available analytical techniques. In this work, time profiling of intracellular nucleotides and nucleotide sugars of CHO-S cell fed-batch processes in a micro-scale bioreactor system was carried out using a recently developed high-throughput method based on matrix-assisted laser desorption/ionization (MALDI) time-of-flight mass spectrometry (TOF-MS). Supplementation of various media additives significantly altered the intracellular nucleotides and nucleotide sugars that are inextricably linked to the process of glycosylation. The results revealed that UDP-Gal synthesis appeared to be particularly limiting whereas the impact of elevated UDP-GlcNAc and GDP-Fuc levels on the final glycosylation patterns was only marginally important. In contrast, manganese and asparagine supplementation altered the glycan profiles without affecting intracellular components. The combination of miniaturized cell cultures and high-throughput analytical techniques serves therefore as a useful tool for future quality driven media optimization studies.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  High-throughput; MALDI-TOF-MS; Media optimization; Micro-scale bioreactors; N-linked glycosylation; Nucleotide sugars

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Year:  2016        PMID: 27131894     DOI: 10.1016/j.jbiotec.2016.04.039

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  2 in total

1.  A high-resolution measurement of nucleotide sugars by using ion-pair reverse chromatography and tandem columns.

Authors:  Sha Sha; Garry Handelman; Cyrus Agarabi; Seongkyu Yoon
Journal:  Anal Bioanal Chem       Date:  2020-04-16       Impact factor: 4.142

2.  Harnessing the potential of artificial neural networks for predicting protein glycosylation.

Authors:  Pavlos Kotidis; Cleo Kontoravdi
Journal:  Metab Eng Commun       Date:  2020-05-15
  2 in total

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