Multi‐omics profiling of a CHO cell culture system unravels the effect of culture pH on cell growth, antibody titer, and product quality

细胞内 单克隆抗体 中国仓鼠卵巢细胞 生物过程 生物 细胞培养 效价 内质网 生物化学 代谢组学 蛋白质组学 细胞生物学 抗体 化学 生物信息学 免疫学 遗传学 基因 古生物学
作者
Alison Lee,Yee Jiun Kok,Meiyappan Lakshmanan,Dawn Leong,Lu Zheng,Hsueh Lee Lim,Shuwen Chen,Shi Ya Mak,Kok Siong Ang,Neil Templeton,Taha Salim,Xiaona Wei,Eric Gifford,Andy Hee‐Meng Tan,Xuezhi Bi,Say Kong Ng,Dong‐Yup Lee,Wai Lam W. Ling,Ying Swan Ho
出处
期刊:Biotechnology and Bioengineering [Wiley]
卷期号:118 (11): 4305-4316 被引量:35
标识
DOI:10.1002/bit.27899
摘要

A robust monoclonal antibody (mAb) bioprocess requires physiological parameters such as temperature, pH, or dissolved oxygen to be well-controlled as even small variations in them could potentially impact the final product quality. For instance, pH substantially affects N-glycosylation, protein aggregation, and charge variant profiles, as well as mAb productivity. However, relatively less is known about how pH jointly influences product quality and titer. In this study, we investigated the effect of pH on culture performance, product titer, and quality profiles by applying longitudinal multi-omics profiling, including transcriptomics, proteomics, metabolomics, and glycomics, at three different culture pH set points. The subsequent systematic analysis of multi-omics data showed that pH set points differentially regulated various intracellular pathways including intracellular vesicular trafficking, cell cycle, and apoptosis, thereby resulting in differences in specific productivity, product titer, and quality profiles. In addition, a time-dependent variation in mAb N-glycosylation profiles, independent of pH, was identified to be mainly due to the accumulation of mAb proteins in the endoplasmic reticulum disrupting cellular homeostasis over culture time. Overall, this multi-omics-based study provides an in-depth understanding of the intracellular processes in mAb-producing CHO cell line under varied pH conditions, and could serve as a baseline for enabling the quality optimization and control of mAb production.
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