High throughput chromatography and analytics can inform viral clearance capabilities during downstream process development for biologics

2021 ◽  
pp. 2000641
Author(s):  
Krishana C. Gulla ◽  
Zachary J. Schneiderman ◽  
Sarah E. O'Connell ◽  
Gabriel F. Arias ◽  
Nicole L. Cibelli ◽  
...  
2012 ◽  
Vol 7 (10) ◽  
pp. 1203-1215 ◽  
Author(s):  
Katrin Treier ◽  
Annette Berg ◽  
Patrick Diederich ◽  
Katharina Lang ◽  
Anna Osberghaus ◽  
...  

2019 ◽  
Vol 36 (1) ◽  
Author(s):  
Joshua D. Orchard ◽  
David Cetlin ◽  
Melanie Pallansch ◽  
Robert Barlow ◽  
Jon Borman ◽  
...  

2016 ◽  
Vol 1464 ◽  
pp. 1-11 ◽  
Author(s):  
Sarah Zimmermann ◽  
Sarah Gretzinger ◽  
Marie-Luise Schwab ◽  
Christian Scheeder ◽  
Philipp K. Zimmermann ◽  
...  

2016 ◽  
Vol 12 (2) ◽  
pp. 1600587 ◽  
Author(s):  
Sarah Zimmermann ◽  
Christian Scheeder ◽  
Philipp K Zimmermann ◽  
Are Bogsnes ◽  
Mattias Hansson ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mathias Fink ◽  
Monika Cserjan-Puschmann ◽  
Daniela Reinisch ◽  
Gerald Striedner

AbstractTremendous advancements in cell and protein engineering methodologies and bioinformatics have led to a vast increase in bacterial production clones and recombinant protein variants to be screened and evaluated. Consequently, an urgent need exists for efficient high-throughput (HTP) screening approaches to improve the efficiency in early process development as a basis to speed-up all subsequent steps in the course of process design and engineering. In this study, we selected the BioLector micro-bioreactor (µ-bioreactor) system as an HTP cultivation platform to screen E. coli expression clones producing representative protein candidates for biopharmaceutical applications. We evaluated the extent to which generated clones and condition screening results were transferable and comparable to results from fully controlled bioreactor systems operated in fed-batch mode at moderate or high cell densities. Direct comparison of 22 different production clones showed great transferability. We observed the same growth and expression characteristics, and identical clone rankings except one host-Fab-leader combination. This outcome demonstrates the explanatory power of HTP µ-bioreactor data and the suitability of this platform as a screening tool in upstream development of microbial systems. Fast, reliable, and transferable screening data significantly reduce experiments in fully controlled bioreactor systems and accelerate process development at lower cost.


2014 ◽  
Vol 111 (12) ◽  
pp. 2486-2498 ◽  
Author(s):  
Georgina Espuny Garcia del Real ◽  
Jim Davies ◽  
Daniel G. Bracewell

Cytotherapy ◽  
2019 ◽  
Vol 21 (5) ◽  
pp. S17
Author(s):  
C. Lazarski ◽  
M. Keller ◽  
C. Bollard ◽  
P. Hanley

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