Metabolite profiling of CHO cells with different growth characteristics

Stefanie Dietmair, Mark P. Hodson, Lake Ee Quek, Nicholas E. Timmins, Panagiotis Chrysanthopoulos, Shana S. Jacob, Peter Gray, Lars K. Nielsen

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    79 Citations (Scopus)

    Abstract

    Mammalian cell cultures are the predominant system for the production of recombinant proteins requiring post-translational modifications. As protein yields are a function of growth performance (among others), and performance varies greatly between culture medium (e.g., different growth rates and peak cell densities), an understanding of the biological mechanisms underpinning this variability would facilitate rational medium and process optimization, increasing product yields, and reducing costs. We employed a metabolomics approach to analyze differences in metabolite concentrations of CHO cells cultivated in three different media exhibiting different growth rates and maximum viable cell densities. Analysis of intra- and extracellular metabolite concentrations over the course of the cultures using a combination of HPLC and GC-MS, readily detected medium specific and time dependent changes. Using multivariate data analysis, we identified a range of metabolites correlating with growth rate, illustrating how metabolomics can be used to relate gross phenotypic changes to the fine details of cellular metabolism.

    Original languageEnglish
    Pages (from-to)1404-1414
    Number of pages11
    JournalBiotechnology and Bioengineering
    Volume109
    Issue number6
    DOIs
    Publication statusPublished - 1 Jun 2012

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    Keywords

    • CHO cells
    • Media
    • Metabolomics

    ASJC Scopus subject areas

    • Biotechnology
    • Bioengineering
    • Applied Microbiology and Biotechnology

    Cite this

    Dietmair, S., Hodson, M. P., Quek, L. E., Timmins, N. E., Chrysanthopoulos, P., Jacob, S. S., Gray, P., & Nielsen, L. K. (2012). Metabolite profiling of CHO cells with different growth characteristics. Biotechnology and Bioengineering, 109(6), 1404-1414. https://doi.org/10.1002/bit.24496