Systematically gap-filling the genome-scale metabolic model of CHO cells

Biotechnology Letters - Tập 43 - Trang 73-87 - 2020
Hamideh Fouladiha1, Sayed-Amir Marashi1,2, Shangzhong Li3,4, Zerong Li4,5, Helen O. Masson3,4, Behrouz Vaziri6, Nathan E. Lewis3,4,5
1Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran
2Department of Biotechnology, University of Tehran, Tehran, Iran
3Department of Bioengineering, University of California, San Diego, USA
4Novo Nordisk Foundation Center for Biosustainability, University of California, San Diego, USA
5Department of Pediatrics, University of California, San Diego, USA
6Protein Chemistry and Proteomics Laboratory, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran

Tóm tắt

Chinese hamster ovary (CHO) cells are the leading cell factories for producing recombinant proteins in the biopharmaceutical industry. In this regard, constraint-based metabolic models are useful platforms to perform computational analysis of cell metabolism. These models need to be regularly updated in order to include the latest biochemical data of the cells, and to increase their predictive power. Here, we provide an update to iCHO1766, the metabolic model of CHO cells. We expanded the existing model of Chinese hamster metabolism with the help of four gap-filling approaches, leading to the addition of 773 new reactions and 335 new genes. We incorporated these into an updated genome-scale metabolic network model of CHO cells, named iCHO2101. In this updated model, the number of reactions and pathways capable of carrying flux is substantially increased. The present CHO model is an important step towards more complete metabolic models of CHO cells.

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Biotechnology Letters

Tập 43

73-87

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