Development of a high-throughput scale-down model in Ambr® 250 HT for plasmid DNA fermentation processes

被引:1
|
作者
Fang, Shu [1 ]
Sinanan, Dillon J. [1 ]
Perez, Marc H. [1 ]
Cruz-Quintero, Raul G. [1 ]
Jadhav, Sachin R. [1 ]
机构
[1] Pfizer Inc, BioProc Res & Dev, 875 Chesterfield Pkwy W, Chesterfield, MO 63017 USA
关键词
Ambr (R) 250 HT; plasmid fermentation; process development; scale-down model; strain screening; ESCHERICHIA-COLI; DESIGN; BIOPROCESS; PLATFORM;
D O I
10.1002/btpr.3458
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Recent advances in messenger ribonucleic acid (mRNA) vaccines and gene therapy vectors have increased the need for rapid plasmid DNA (pDNA) screening and production within the biopharmaceutical industry. High-throughput (HT) fermentor systems, such as the Ambr (R) 250 HT, can significantly accelerate process development timelines of pDNA upstream processes compared to traditional bench-scale glass fermentors or small-scale steam-in-place (SIP) fermentors. However, such scale-down models must be qualified to ensure that they are representative of the larger scale process similar to traditional small-scale models. In the current study, we developed a representative scale-down model of a Biostat (R) D-DCU 30 L pDNA fermentation process in Ambr (R) 250 HT fermentors using three cell lines producing three different constructs. The Ambr scale-down model provided comparable process performance and pDNA quality as the 30 L SIP fermentation process. In addition, we demonstrated the predictive value of the Ambr model by two-way qualification, first by accurately reproducing the prior trends observed in a 30 L process, followed by predicting new process trends that were then successfully reproduced in the 30 L process. The representative and predictive scale-down Ambr model developed in this study would enable a faster and more efficient approach to strain/clone/host-cell screening, pDNA process development and characterization studies, process scale-up studies, and manufacturing support.
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页数:11
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