Metabolic signatures of GS‐CHO cell clones associated with butyrate treatment and culture phase transition

中国仓鼠卵巢细胞 代谢通量分析 丁酸盐 谷氨酰胺 新陈代谢 生物 细胞培养 生物化学 天冬酰胺 重组DNA 代谢工程 甘油 氨基酸 发酵 遗传学 基因
作者
Nuno Carinhas,Tiago M. Duarte,Laura Calvo‐Barreiro,Manuel J.T. Carrondo,Paula M. Alves,Ana P. Teixeira
出处
期刊:Biotechnology and Bioengineering [Wiley]
卷期号:110 (12): 3244-3257 被引量:95
标识
DOI:10.1002/bit.24983
摘要

Chinese hamster ovary (CHO) cells are preferred hosts for the production of recombinant biopharmaceuticals. Efforts to optimize these bioprocesses have largely relied on empirical experience and our knowledge of cellular behavior in culture is incomplete. More recently, comprehensive investigations of metabolic network operation have started to be used to uncover traits associated with optimal growth and recombinant protein production. In this work, we used (1) H-nuclear magnetic resonance ((1) H-NMR) to analyze the supernatants of glutamine-synthetase (GS)-CHO cell clones expressing variable amounts of an IgG4 under control and butyrate-treated conditions. Exometabolomic data revealed accumulation of several metabolic by-products, indicating inefficiencies at different metabolic nodes. These data were contextualized in a detailed network and the cellular fluxomes estimated through metabolic flux analysis. This approach allowed comparing metabolic activity across different clones, growth phases and culture conditions, in particular the efficiency pertaining to carbon lost to glycerol and lactate accumulation and the characteristic nitrogen metabolism involving high asparagine and serine uptake rates. Importantly, this study shows that early butyrate treatment has a marked effect on sustaining high nutrient consumption along culture time, being more pronounced during the stationary phase when extra energy generation and biosynthetic activity is fueled to increase IgG formation. Collectively, the information generated contributes to deepening our understanding of CHO cells metabolism in culture, facilitating future design of improved bioprocesses.
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