Department of Bioengineering, University of California, San Diego, United States; Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, United States.
Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, United States; Department of Pediatrics, University of California, San Diego, United States.
Curr Opin Biotechnol. 2018 Jun;51:64-69. doi: 10.1016/j.copbio.2017.11.015. Epub 2017 Dec 7.
To meet the ever-growing demand for effective, safe, and affordable protein therapeutics, decades of intense efforts have aimed to maximize the quantity and quality of recombinant proteins produced in CHO cells. Bioprocessing innovations and cell engineering efforts have improved product titer; however, uncharacterized cellular processes and gene regulatory mechanisms still hinder cell growth, specific productivity, and protein quality. Herein, we summarize recent advances in systems biology and data-driven approaches aiming to unravel how molecular pathways, cellular processes, and extrinsic factors (e.g. media supplementation) influence recombinant protein production. In particular, as the available omics data for CHO cells continue to grow, predictive models and screens will be increasingly used to unravel the biological drivers of protein production, which can be used with emerging genome editing technologies to rationally engineer cells to further control the quantity, quality and affordability of many biologic drugs.
为了满足对有效、安全且经济实惠的蛋白质治疗药物日益增长的需求,数十年来,人们一直致力于最大程度地提高 CHO 细胞中重组蛋白的产量和质量。生物加工创新和细胞工程努力提高了产品滴度;然而,未被表征的细胞过程和基因调控机制仍然阻碍细胞生长、特定生产力和蛋白质质量。在此,我们总结了系统生物学和数据驱动方法的最新进展,旨在揭示分子途径、细胞过程和外在因素(例如培养基补充)如何影响重组蛋白的生产。特别是,随着可用于 CHO 细胞的组学数据不断增加,预测模型和筛选将越来越多地用于揭示蛋白质生产的生物学驱动因素,这些因素可与新兴的基因组编辑技术结合使用,以理性地工程改造细胞,从而进一步控制许多生物药物的数量、质量和可负担性。