Literature DB >> 29405605

13 C Flux Analysis Reveals that Rebalancing Medium Amino Acid Composition can Reduce Ammonia Production while Preserving Central Carbon Metabolism of CHO Cell Cultures.

Allison G McAtee Pereira1, Jason L Walther2, Myles Hollenbach2, Jamey D Young1,3.   

Abstract

13 C metabolic flux analysis (MFA) provides a rigorous approach to quantify intracellular metabolism of industrial cell lines. In this study, 13 C MFA was used to characterize the metabolic response of Chinese hamster ovary (CHO) cells to a novel medium variant designed to reduce ammonia production. Ammonia inhibits growth and viability of CHO cell cultures, alters glycosylation of recombinant proteins, and enhances product degradation. Ammonia production was reduced by manipulating the amino acid composition of the culture medium; specifically, glutamine, glutamate, asparagine, aspartate, and serine levels were adjusted. Parallel 13 C flux analysis experiments determined that, while ammonia production decreased by roughly 40%, CHO cell metabolic phenotype, growth, viability, and monoclonal antibody (mAb) titer were not significantly altered by the changes in media composition. This study illustrates how 13 C flux analysis can be applied to assess the metabolic effects of media manipulations on mammalian cell cultures. The analysis revealed that adjusting the amino acid composition of CHO cell culture media can effectively reduce ammonia production while preserving fluxes throughout central carbon metabolism.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Chinese hamster ovary; ammonia; media optimization; metabolic flux analysis; stable isotope labeling

Mesh:

Substances:

Year:  2018        PMID: 29405605     DOI: 10.1002/biot.201700518

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  5 in total

1.  Computational data mining method for isotopomer analysis in the quantitative assessment of metabolic reprogramming.

Authors:  Fumio Matsuda; Kousuke Maeda; Nobuyuki Okahashi
Journal:  Sci Rep       Date:  2020-01-14       Impact factor: 4.379

Review 2.  Metabolic Modelling as a Framework for Metabolomics Data Integration and Analysis.

Authors:  Svetlana Volkova; Marta R A Matos; Matthias Mattanovich; Igor Marín de Mas
Journal:  Metabolites       Date:  2020-07-24

3.  Characterization of metabolic responses, genetic variations, and microsatellite instability in ammonia-stressed CHO cells grown in fed-batch cultures.

Authors:  Dylan G Chitwood; Qinghua Wang; Kathryn Elliott; Aiyana Bullock; Dwon Jordana; Zhigang Li; Cathy Wu; Sarah W Harcum; Christopher A Saski
Journal:  BMC Biotechnol       Date:  2021-01-08       Impact factor: 2.563

4.  Metabolic analysis of the asparagine and glutamine dynamics in an industrial Chinese hamster ovary fed-batch process.

Authors:  Brian J Kirsch; Sandra V Bennun; Adam Mendez; Amy S Johnson; Hongxia Wang; Haibo Qiu; Ning Li; Shawn M Lawrence; Hanne Bak; Michael J Betenbaugh
Journal:  Biotechnol Bioeng       Date:  2022-01-06       Impact factor: 4.395

5.  Inclusion of maintenance energy improves the intracellular flux predictions of CHO.

Authors:  Diana Széliová; Jerneja Štor; Isabella Thiel; Marcus Weinguny; Michael Hanscho; Gabriele Lhota; Nicole Borth; Jürgen Zanghellini; David E Ruckerbauer; Isabel Rocha
Journal:  PLoS Comput Biol       Date:  2021-06-11       Impact factor: 4.779

  5 in total

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