生物制造
计算机科学
关键质量属性
过程(计算)
观点
分析
病毒载体
风险分析(工程)
过程分析技术
计算生物学
新兴技术
生化工程
数据科学
生物技术
系统工程
工程类
生物
医学
在制品
下游(制造业)
人工智能
运营管理
操作系统
艺术
重组DNA
生物化学
基因
视觉艺术
作者
Sobhana A. Sripada,Mahshid Hosseini,Srivatsan Ramesh,Jingying Wang,Kimberly Ritola,Stefano Menegatti,Michael A. Daniele
标识
DOI:10.1016/j.biotechadv.2024.108391
摘要
Viral vectors are an emerging, exciting class of biologics whose application in vaccines, oncology, and gene therapy has grown exponentially in recent years. Following first regulatory approval, this class of therapeutics has been vigorously pursued to treat monogenic disorders including orphan diseases, entering hundreds of new products into pipelines. Viral vector manufacturing supporting clinical efforts has spurred the introduction of a broad swath of analytical techniques dedicated to assessing the diverse and evolving panel of Critical Quality Attributes (CQAs) of these products. Herein, we provide an overview of the current state of analytics enabling measurement of CQAs such as capsid and vector identities, product titer, transduction efficiency, impurity clearance etc. We highlight orthogonal methods and discuss the advantages and limitations of these techniques while evaluating their adaptation as process analytical technologies. Finally, we identify gaps and propose opportunities in enabling existing technologies for real-time monitoring from hardware, software, and data analysis viewpoints for technology development within viral vector biomanufacturing.
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