Nadja Raab , Nikolas Zeh , Robin Kretz , Linus Weiß , Anna Stadermann , Benjamin Lindner , Simon Fischer , Dieter Stoll , Kerstin Otte
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引用次数: 0
摘要
特别是在生产人工的、难以表达的分子时,需要进一步开发 CHO 生产细胞系,以满足不断增长的需求。然而,确定细胞系工程的新目标以改进 CHO 细胞是一个时间和成本密集型过程。由于血浆细胞在哺乳动物的进化过程中被优化为高抗体表达,我们对 CHO 和血浆细胞进行了全面的多组学比较,以利用优化的细胞生产特性。比较两种细胞系的转录组、蛋白质组、miRN 组、表面组和分泌组发现了关键差异,包括 CHO 细胞工程的 392 个潜在过表达靶点,分为 15 个功能类别,如转录因子、蛋白质加工或分泌途径。此外,还确定了 3 类蛋白质,包括 209 个潜在的基因敲除/剔除靶标,这些靶标可能会影响 CHO 细胞工程的聚集或蛋白水解。在生产表型工程中,这些新靶点中有几个被成功地应用于瞬时和转座酶介导的过表达或基因敲除策略,从而有效地提高了 CHO 细胞的生产率。因此,以自然界为蓝本进行细胞系工程,可以大大提高 CHO 的生产率。
Nature as blueprint: Global phenotype engineering of CHO production cells based on a multi-omics comparison with plasma cells
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.
期刊介绍:
Metabolic Engineering (MBE) is a journal that focuses on publishing original research papers on the directed modulation of metabolic pathways for metabolite overproduction or the enhancement of cellular properties. It welcomes papers that describe the engineering of native pathways and the synthesis of heterologous pathways to convert microorganisms into microbial cell factories. The journal covers experimental, computational, and modeling approaches for understanding metabolic pathways and manipulating them through genetic, media, or environmental means. Effective exploration of metabolic pathways necessitates the use of molecular biology and biochemistry methods, as well as engineering techniques for modeling and data analysis. MBE serves as a platform for interdisciplinary research in fields such as biochemistry, molecular biology, applied microbiology, cellular physiology, cellular nutrition in health and disease, and biochemical engineering. The journal publishes various types of papers, including original research papers and review papers. It is indexed and abstracted in databases such as Scopus, Embase, EMBiology, Current Contents - Life Sciences and Clinical Medicine, Science Citation Index, PubMed/Medline, CAS and Biotechnology Citation Index.