中国仓鼠卵巢细胞
合成生物学
细胞培养
生产力
生物
计算机科学
生产(经济)
计算生物学
生化工程
细胞生物学
生物技术
遗传学
工程类
经济
宏观经济学
作者
James Donaldson,Dirk‐Jan Kleinjan,Susan J. Rosser
标识
DOI:10.1016/j.copbio.2022.102806
摘要
Fed-batch culture of Chinese hamster ovary (CHO) cells remains the most commonly used method for producing biopharmaceuticals. Static CHO cell-line engineering approaches have incrementally improved productivity, growth and product quality through permanent knockout of genes with a negative impact on production, or constitutive overexpression of genes with a positive impact. However, during fed-batch culture, conditions (such as nutrient availability) are continually changing. Therefore, traits that are most beneficial during early-phase culture (such as high growth rate) may be less desirable in late phase. Unlike with static approaches, dynamic cell line engineering strategies can optimise such traits by implementing synthetic sense-and-respond programmes. Here, we review emerging synthetic biology tools that can be used to build dynamic, self-regulating CHO cells, capable of detecting intra-/extracellular cues and generating user-defined responses tailored to the stage-specific needs of the production process.
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