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

Abstract:

OBJECTIVE: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. RESULTS: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. CONCLUSIONS:The present CHO model is an important step towards more complete metabolic models of CHO cells.

journal_name

Biotechnol Lett

journal_title

Biotechnology letters

authors

Fouladiha H,Marashi SA,Li S,Li Z,Masson HO,Vaziri B,Lewis NE

doi

10.1007/s10529-020-03021-w

subject

Has Abstract

pub_date

2021-01-01 00:00:00

pages

73-87

issue

1

eissn

0141-5492

issn

1573-6776

pii

10.1007/s10529-020-03021-w

journal_volume

43

pub_type

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