Torkashvand Fatemeh, Vaziri Behrouz, Maleknia Shayan, Heydari Amir, Vossoughi Manouchehr, Davami Fatemeh, Mahboudi Fereidoun
Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Process Development Department, Aryogen Biopharma Inc., Alborz, Iran.
PLoS One. 2015 Oct 19;10(10):e0140597. doi: 10.1371/journal.pone.0140597. eCollection 2015.
Cell culture feeds optimization is a critical step in process development of pharmaceutical recombinant protein production. Amino acids are the basic supplements of mammalian cell culture feeds with known effect on their growth promotion and productivity. In this study, we reported the implementation of the Plackett-Burman (PB) multifactorial design to screen the effects of amino acids on the growth promotion and productivity of a Chinese hamster ovary DG-44 (CHO-DG44) cell line producing bevacizumab. After this screening, the amino acid combinations were optimized by the response surface methodology (RSM) to determine the most effective concentration in feeds. Through this strategy, the final monoclonal antibody (mAb) titre was enhanced by 70%, compared to the control group. For this particular cell line, aspartic acid, glutamic acid, arginine and glycine had the highest positive effects on the final mAb titre. Simultaneously, the impact of the designed amino acid feed on some critical quality attributes of bevacizumab was examined in the group with highest productivity. The product was analysed for N-glycan profiles, charge variant distribution, and low molecular weight forms. The results showed that the target product quality has been improved using this feeding strategy. It was shown how this strategy could significantly diminish the time and number of experiments in identifying the most effective amino acids and related concentrations in target product enhancement. This model could be successfully applied to other components of culture media and feeds.
细胞培养补料优化是制药重组蛋白生产工艺开发中的关键步骤。氨基酸是哺乳动物细胞培养补料的基本补充成分,对细胞生长促进和生产力有已知的影响。在本研究中,我们报道了采用Plackett-Burman(PB)多因素设计来筛选氨基酸对生产贝伐单抗的中国仓鼠卵巢DG-44(CHO-DG44)细胞系生长促进和生产力的影响。经过该筛选后,通过响应面法(RSM)对氨基酸组合进行优化,以确定补料中最有效的浓度。通过这种策略,与对照组相比,最终单克隆抗体(mAb)滴度提高了70%。对于该特定细胞系,天冬氨酸、谷氨酸、精氨酸和甘氨酸对最终mAb滴度具有最高的正向影响。同时,在生产力最高的组中检测了设计的氨基酸补料对贝伐单抗一些关键质量属性的影响。对产品进行了N-聚糖谱、电荷变体分布和低分子量形式的分析。结果表明,使用这种补料策略提高了目标产品质量。展示了该策略如何能够显著减少在确定提高目标产品中最有效的氨基酸及其相关浓度时的实验时间和次数。该模型可成功应用于培养基和补料的其他成分。