Cell culture process metabolomics together with multivariate data analysis tools opens new routes for bioprocess development and glycosylation prediction.
CHO cell culture
glycosylation
metabolomics
multivariate analysis
partial least square regression
Journal
Biotechnology progress
ISSN: 1520-6033
Titre abrégé: Biotechnol Prog
Pays: United States
ID NLM: 8506292
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
01
12
2019
revised:
24
03
2020
accepted:
10
04
2020
pubmed:
5
5
2020
medline:
29
9
2021
entrez:
5
5
2020
Statut:
ppublish
Résumé
Multivariate latent variable methods have become a popular and versatile toolset to analyze bioprocess data in industry and academia. This work spans such applications from the evaluation of the role of the standard process variables and metabolites to the metabolomics level, that is, to the extensive number metabolic compounds detectable in the extracellular and intracellular domains. Given the substantial effort currently required for the measurement of the latter groups, a tailored methodology is presented that is capable of providing valuable process insights as well as predicting the glycosylation profile based on only four experiments measured over 12 cell culture days. An important result of the work is the possibility to accurately predict many of the glycan variables based on the information of three experiments. An additional finding is that such predictive models can be generated from the more accessible process and extracellular information only, that is, without including the more experimentally cumbersome intracellular data. With regards to the incorporation of omics data in the standard process analytics framework in the future, this works provides a comprehensive data analysis pathway which can efficiently support numerous bioprocessing tasks.
Substances chimiques
Recombinant Proteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e3012Informations de copyright
© 2020 American Institute of Chemical Engineers.
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