A metabolic network-based approach for developing feeding strategies for CHO cells to increase monoclonal antibody production.

Abstract:

:Chinese hamster ovary (CHO) cells are the main workhorse in the biopharmaceutical industry for the production of recombinant proteins, such as monoclonal antibodies. To date, a variety of metabolic engineering approaches have been used to improve the productivity of CHO cells. While genetic manipulations are potentially laborious in mammalian cells, rational design of CHO cell culture medium or efficient fed-batch strategies are more popular approaches for bioprocess optimization. In this study, a genome-scale metabolic network model of CHO cells was used to design feeding strategies for CHO cells to improve monoclonal antibody (mAb) production. A number of metabolites, including threonine and arachidonate, were suggested by the model to be added into cell culture medium. The designed composition has been experimentally validated, and then optimized, using design of experiment methods. About a two-fold increase in the total mAb expression has been observed using this strategy. Our approach can be used in similar bioprocess optimization problems, to suggest new ways of increasing production in different cell factories.

journal_name

Bioprocess Biosyst Eng

authors

Fouladiha H,Marashi SA,Torkashvand F,Mahboudi F,Lewis NE,Vaziri B

doi

10.1007/s00449-020-02332-6

subject

Has Abstract

pub_date

2020-08-01 00:00:00

pages

1381-1389

issue

8

eissn

1615-7591

issn

1615-7605

pii

10.1007/s00449-020-02332-6

journal_volume

43

pub_type

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