High-throughput micro-scale cultivations and chromatography modeling: Powerful tools for integrated process development

2015 ◽  
Vol 112 (10) ◽  
pp. 2123-2133 ◽  
Author(s):  
Pascal Baumann ◽  
Tobias Hahn ◽  
Jürgen Hubbuch
2020 ◽  
Author(s):  
Jia Shen Chew ◽  
Ken Chi Lik Lee ◽  
THI THANH NHA HO

<p>Lee and coworkers offers a kind of new concept to enzyme immobilization and explores its suitability in the context of miniaturisation and high-throughput screening. Here, polystyrene-immobilized ketoreductases are compared with its non-immobilized counterparts in terms of conversion and stereoselectivity (both determined by chiral HPLC), and the study indicates that the BioBeads perform similarly (sometimes slightly more selective) which may be useful whenever defined micro-scale amounts of biocatalysts were required in high-throughput experiment settings.</p>


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

2012 ◽  
Vol 7 (10) ◽  
pp. 1203-1215 ◽  
Author(s):  
Katrin Treier ◽  
Annette Berg ◽  
Patrick Diederich ◽  
Katharina Lang ◽  
Anna Osberghaus ◽  
...  

Author(s):  
Joshua A. Selekman ◽  
Jun Qiu ◽  
Kristy Tran ◽  
Jason Stevens ◽  
Victor Rosso ◽  
...  

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