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A control strategy to investigate the relationship between specific productivity and high-mannose glycoforms in CHO cells

机译:研究CHO细胞中特定生产力与高甘露糖糖型之间关系的控制策略

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摘要

The integration of physiological knowledge into process control strategies is a cornerstone for the improvement of biopharmaceutical cell culture technologies. The present contribution investigates the applicability of specific productivity as a physiological control parameter in a cell culture process producing a monoclonal antibody (mAb) in CHO cells. In order to characterize cell physiology, the on-line oxygen uptake rate (OUR) was monitored and the time-resolved specific productivity was calculated as physiological parameters. This characterization enabled to identify the tight link between the deprivation of tyrosine and the decrease in cell respiration and in specific productivity. Subsequently, this link was used to control specific productivity by applying different feeding profiles. The maintenance of specific productivity at various levels enabled to identify a correlation between the rate of product formation and the relative abundance of high-mannose glycoforms. An increase in high mannose content was assumed to be the result of high specific productivity. Furthermore, the high mannose content as a function of cultivation pH and specific productivity was investigated in a design of experiment approach. This study demonstrated how physiological parameters could be used to understand interactions between process parameters, physiological parameters, and product quality attributes.Electronic supplementary materialThe online version of this article (doi:10.1007/s00253-016-7380-4) contains supplementary material, which is available to authorized users.
机译:将生理知识整合到过程控制策略中是改善生物制药细胞培养技术的基石。本贡献调查了比生产率作为在CHO细胞中产生单克隆抗体(mAb)的细胞培养过程中的生理控制参数的适用性。为了表征细胞生理学,监测在线氧气吸收率(OUR),并计算时间分辨的比生产率作为生理学参数。这种表征使得能够鉴定酪氨酸的剥夺与细胞呼吸作用和单位生产力的降低之间的紧密联系。随后,该链接用于通过应用不同的进料配置来控制特定的生产率。在不同水平上保持比生产率使得能够鉴定产物形成速率与高甘露糖糖型的相对丰度之间的相关性。高甘露糖含量的增加被认为是高比生产率的结果。此外,在实验方法的设计中研究了高甘露糖含量与培养pH和比生产率的关系。这项研究证明了如何使用生理参数来理解过程参数,生理参数和产品质量属性之间的相互作用。电子补充材料本文的在线版本(doi:10.1007 / s00253-016-7380-4)包含补充材料,其中适用于授权用户。

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