蓝图
表型
代谢工程
组学
生产(经济)
计算生物学
生物
生化工程
生物信息学
生物化学
工程类
基因
经济
机械工程
宏观经济学
作者
Nadja Raab,Nikolas Zeh,Robin Kretz,Linus Weiß,Anna Stadermann,Benjamin Lindner,Simon Fischer,Dieter Stoll,Kerstin Otte
标识
DOI:10.1016/j.ymben.2024.03.007
摘要
Especially for the production of artificial, difficult to express molecules a further development of the CHO production cell line is required to keep pace with the continuously increasing demands. However, the identification of novel targets for cell line engineering to improve CHO cells is a time and cost intensive process. Since plasma cells are evolutionary optimized for a high antibody expression in mammals, we performed a comprehensive multi-omics comparison between CHO and plasma cells to exploit optimized cellular production traits. Comparing the transcriptome, proteome, miRNome, surfaceome and secretome of both cell lines identified key differences including 392 potential overexpression targets for CHO cell engineering categorized in 15 functional classes like transcription factors, protein processing or secretory pathway. In addition, 3 protein classes including 209 potential knock-down/out targets for CHO engineering were determined likely to affect aggregation or proteolysis. For production phenotype engineering, several of these novel targets were successfully applied to transient and transposase mediated overexpression or knock-down strategies to efficiently improve productivity of CHO cells. Thus, substantial improvement of CHO productivity was achieved by taking nature as a blueprint for cell line engineering.
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