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A Consensus Genome-scale Reconstruction of Chinese Hamster Ovary Cell Metabolism

  • Hooman Hefzi
  • , Kok Siong Ang
  • , Michael Hanscho
  • , Aarash Bordbar
  • , David Ruckerbauer
  • , Meiyappan Lakshmanan
  • , Camila A. Orellana
  • , Deniz Baycin-Hizal
  • , Yingxiang Huang
  • , Daniel Ley
  • , Veronica S. Martinez
  • , Sarantos Kyriakopoulos
  • , Natalia E. Jiménez
  • , Daniel C. Zielinski
  • , Lake-Ee Quek
  • , Tune Wulff
  • , Johnny Arnsdorf
  • , Shangzhong Li
  • , Jae Seong Lee
  • , Giuseppe Paglia
  • Nicolas Loira, Philipp N. Spahn, Lasse Ebdrup Pedersen, Jahir M. Gutierrez, Zachary A. King, Anne Mathilde Lund, Harish Nagarajan, Alex Thomas, Alyaa M. Abdel-Haleem, Juergen Zanghellini, Helene Faustrup Kildegaard, Bjørn Gunnar Voldborg, Ziomara P. Gerdtzen, Michael J. Betenbaugh, Bernhard Palsson, Mikael Rørdam Andersen, Lars K. Nielsen, Nicole Borth, Dong-Yup Lee, Nathan E. Lewis
    • University of California at San Diego
    • University of Natural Resources and Life Sciences, Vienna
    • Agency for Science, Technology and Research, Singapore
    • University of Queensland
    • Johns Hopkins University
    • University of Iceland
    • University of Chile
    • National University of Singapore

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Chinese hamster ovary (CHO) cells dominate biotherapeutic protein production and are widely used in mammalian cell line engineering research. To elucidate metabolic bottlenecks in protein production and to guide cell engineering and bioprocess optimization, we reconstructed the metabolic pathways in CHO and associated them with >1,700 genes in the Cricetulus griseus genome. The genome-scale metabolic model based on this reconstruction, iCHO1766, and cell-line-specific models for CHO-K1, CHO-S, and CHO-DG44 cells provide the biochemical basis of growth and recombinant protein production. The models accurately predict growth phenotypes and known auxotrophies in CHO cells. With the models, we quantify the protein synthesis capacity of CHO cells and demonstrate that common bioprocess treatments, such as histone deacetylase inhibitors, inefficiently increase product yield. However, our simulations show that the metabolic resources in CHO are more than three times more efficiently utilized for growth or recombinant protein synthesis following targeted efforts to engineer the CHO secretory pathway. This model will further accelerate CHO cell engineering and help optimize bioprocesses.
    Original languageEnglish
    JournalCell Systems
    Volume3
    Issue number5
    Pages (from-to)434-443
    ISSN2405-4712
    DOIs
    Publication statusPublished - 2016

    Keywords

    • CHO
    • Chinese hamster ovary
    • Biotherapeutic protein production
    • Genome-scale model
    • Metabolic network
    • Systems biology

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