Strategic Assay Selection for analytics in high-throughput process development: Case studies for downstream processing of monoclonal antibodies

2012 ◽  
Vol 7 (10) ◽  
pp. 1256-1268 ◽  
Author(s):  
Spyridon Konstantinidis ◽  
Simyee Kong ◽  
Sunil Chhatre ◽  
Ajoy Velayudhan ◽  
Eva Heldin ◽  
...  
2012 ◽  
Vol 28 (5) ◽  
pp. 1292-1302 ◽  
Author(s):  
Spyridon Konstantinidis ◽  
Eva Heldin ◽  
Sunil Chhatre ◽  
Ajoy Velayudhan ◽  
Nigel Titchener-Hooker

Author(s):  
Chris Schuermyer ◽  
Brady Benware ◽  
Graham Rhodes ◽  
Davide Appello ◽  
Vincenzo Tancorre ◽  
...  

Abstract This work presents the first application of a diagnosis driven approach for identifying systematic chain fail defects in order to reduce the time spent in failure analysis. The zonal analysis methodology that is applied separates devices into systematic and random populations of chain fails in order to prevent submitting random defects for failure analysis. Two silicon case studies are presented to validate the production worthiness of diagnosis driven yield analysis for chain fails. The defects uncovered in these case studies are very subtle and would be difficult to identify with any other methodology.


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.


2021 ◽  
Author(s):  
Simon Kluters ◽  
Karin Steinhauser ◽  
Roland Pfänder ◽  
Joey Studts

2018 ◽  
Vol 1 (4) ◽  
pp. 261-269 ◽  
Author(s):  
Giulia Mazzoccanti ◽  
Giuseppe Pierri ◽  
Alessia Ciogli ◽  
Omar H. Ismail ◽  
Fabrizio Giorgi ◽  
...  

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

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