Revealing metabolic performance of chinese hamster ovary cell capable of producing erythropoietin by in silico analysis
Abstract
Erythropoietin
(EPO) is one of the most important hormones in the human body, due to
its effective pharmaceutical performance, recombinant human EPO (rhEPO)
is often produced by Chinese Hamster Ovary (CHO) cells as host cells
through recombinant DNA technology on an industrial scale. In this
study, the reported genome-scale metabolic network of CHO cells was
upgraded to integrate EPO production pathways using the INIT algorithm
in the RAVEN Toolbox. After quality analysis for the reconstructed
model, performance of the model was examined under two different culture
conditions provided within the literature. Such analysis were
implemented through Flux Balance Analysis (FBA) and Multi-objective
Analysis techniques and the results highlighted the effectiveness of
these culture conditions. To enhance the efficiency of rhEPO production,
analysis of essential genes and reactions, sensitivity of essential
amino acid supplementation and flexibility of amino acid uptakes was
also performed through a series of standard in silico techniques in constraint-based analysis.