Trace metal optimization in CHO cell culture through statistical design of experiments

中国仓鼠卵巢细胞 微量金属 效价 化学 单克隆抗体 细胞培养 金属 生物化学 色谱法 生物 抗体 免疫学 受体 遗传学 有机化学
作者
Ashli Polanco,George H. Liang,Soyoung Park,Yongdan Wang,Ryan J. Graham,Seongkyu Yoon
出处
期刊:Biotechnology Progress [American Chemical Society]
卷期号:39 (6): e3368-e3368 被引量:4
标识
DOI:10.1002/btpr.3368
摘要

A majority of the biotherapeutics industry today relies on the manufacturing of monoclonal antibodies from Chinese hamster ovary (CHO) cells, yet challenges remain with maintaining consistent product quality from high-producing cell lines. Previous studies report the impact of individual trace metal supplemental on CHO cells, and thus, the combinatorial effects of these metals could be leveraged to improve bioprocesses further. A three-level factorial experimental design was performed in fed-batch shake flasks to evaluate the impact of time wise addition of individual or combined trace metals (zinc and copper) on CHO cell culture performance. Correlations among each factor (experimental parameters) and response variables (changes in cell culture performance) were examined based on their significance and goodness of fit to a partial least square's regression model. The model indicated that zinc concentration and time of addition counter-influence peak viable cell density and antibody production. Meanwhile, early copper supplementation influenced late-stage ROS activity in a dose-dependent manner likely by alleviating cellular oxidative stress. Regression coefficients indicated that combined metal addition had less significant impact on titer and specific productivity compared to zinc addition alone, although titer increased the most under combined metal addition. Glycan analysis showed that combined metal addition reduced galactosylation to a greater extent than single metals when supplemented during the early growth phase. A validation experiment was performed to confirm the validity of the regression model by testing an optimized setpoint of metal supplement time and concentration to improve protein productivity.
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