大小排阻色谱法
色谱法
腺相关病毒
软件可移植性
可靠性(半导体)
计算机科学
化学
载体(分子生物学)
重组DNA
物理
基因
生物化学
量子力学
功率(物理)
酶
程序设计语言
作者
James Song,Tivadar Farkas
标识
DOI:10.1016/j.chroma.2024.464684
摘要
Adeno-associated virus (AAV) analytical characterization is crucial to the well-defined and reproducible production of human gene therapies utilizing the AAV vector modality. The establishment of analytical methods based upon technology platforms currently widely used by bio-therapeutic manufacturers, namely HPLC, will assist efforts to produce high quality AAV reproducibly and decrease chemical manufacturing and control challenges in method portability and reliability. AAV analysis by size exclusion chromatography (SEC) is currently practiced with columns and mobile phase conditions traditional to SEC of proteins. Here, an improved method to measure multiple AVV critical quality attributes (CQA) rapidly by SEC is explored. The use of short columns made with small particles at high flow rates resulted in up to 80 % reduction in analysis time and 66 % in sample consumption while maintaining reliable quantitation of AAV aggregate or high molecular weight (HMW) content. These results were demonstrated across four different AAV serotypes. Furthermore, critical AAV sample handling learnings are shared.
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