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

Authors :
Hefzi, Hooman
Ang, Kok Siong
Hanscho, Michael
Bordbar, Aarash
Ruckerbauer, David
Lakshmanan, Meiyappan
Orellana, Camila A.
Baycin-Hizal, Deniz
Huang, Yingxiang
Ley, Daniel
Martinez, Veronica S.
Kyriakopoulos, Sarantos
Jiménez, Natalia E.
Zielinski, Daniel C.
Quek, Lake-Ee
Wulff, Tune
Arnsdorf, Johnny
Li, Shangzhong
Lee, Jae Seong
Paglia, Giuseppe
Loira, Nicolas
Spahn, Philipp N.
Pedersen, Lasse E.
Gutierrez, Jahir M.
King, Zachary A.
Lund, Anne Mathilde
Nagarajan, Harish
Thomas, Alex
Abdel-Haleem, Alyaa M.
Zanghellini, Juergen
Kildegaard, Helene F.
Voldborg, Bjørn G.
Gerdtzen, Ziomara P.
Betenbaugh, Michael J.
Palsson, Bernhard O.
Andersen, Mikael R.
Nielsen, Lars K.
Borth, Nicole
Lee, Dong-Yup
Lewis, Nathan E.
Source :
Cell Systems; November 2016, Vol. 3 Issue: 5 p434-443.e8
Publication Year :
2016

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 griseusgenome. 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.

Details

Language :
English
ISSN :
24054712
Volume :
3
Issue :
5
Database :
Supplemental Index
Journal :
Cell Systems
Publication Type :
Periodical
Accession number :
ejs40932337
Full Text :
https://doi.org/10.1016/j.cels.2016.10.020