Cell culture process metabolomics together with multivariate data analysis tools opens new routes for bioprocess development and glycosylation prediction
| Autor: | Massimo Morbidelli, Hervé Broly, Martin Jordan, Alessandro Butté, David Brühlmann, Matthieu Stettler, Raphael Ducommun, Philipp Zürcher, Michael Sokolov, Jonathan Souquet |
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| Rok vydání: | 2020 |
| Předmět: |
Glycosylation
Multivariate analysis Process (engineering) Computer science Cell Culture Techniques CHO Cells Latent variable Models Biological Recombinant Proteins Omics data chemistry.chemical_compound Bioreactors Cricetulus Metabolomics chemistry Cricetinae Multivariate Analysis Animals Biochemical engineering Process analytics Least-Squares Analysis Bioprocess Biotechnology |
| Zdroj: | Biotechnology Progress. 36 |
| ISSN: | 1520-6033 8756-7938 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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