Application of a High Throughput and Automated Workflow to Therapeutic Protein Formulation Development

Author(s):  
Cindy D. Ren ◽  
Wei Qi ◽  
Emily A. Wyatt ◽  
Jeffrey Yeary ◽  
Kimberly Westland ◽  
...  
2018 ◽  
Vol 23 (6) ◽  
pp. 516-528 ◽  
Author(s):  
Yangjie Wei ◽  
Nicholas R. Larson ◽  
Siva K. Angalakurthi ◽  
C. Russell Middaugh

The goal of protein formulation development is to identify optimal conditions for long-term storage. Certain commercial conditions (e.g., high protein concentration or turbid adjuvanted samples) impart additional challenges to biophysical characterization. Formulation screening studies for such conditions are usually performed using a simplified format in which the target protein is studied at a low concentration in a clear solution. The failure of study conditions to model the actual formulation environment may cause a loss of ability to identify the optimal condition for target proteins in their final commercial formulations. In this study, we utilized a steady-state/lifetime fluorescence-based, high-throughput platform to develop a general workflow for direct formulation optimization under analytically challenging but commercially relevant conditions. A high-concentration monoclonal antibody (mAb) and an Alhydrogel-adjuvanted antigen were investigated. A large discrepancy in screening results was observed for both proteins under these two different conditions (simplified and commercially relevant). This study demonstrates the feasibility of using a steady-state/lifetime fluorescence plate reader for direct optimization of challenging formulation conditions and highlights the importance of performing formulation optimization under commercially relevant conditions.


2008 ◽  
Vol 26 (2) ◽  
pp. 296-305 ◽  
Author(s):  
David H. Johnson ◽  
Arun Parupudi ◽  
W. William Wilson ◽  
Lawrence J. DeLucas

2010 ◽  
Vol 99 (5) ◽  
pp. 2279-2294 ◽  
Author(s):  
Hui Zhao ◽  
Olivier Graf ◽  
Nebojsa Milovic ◽  
Xiaosong Luan ◽  
Markus Bluemel ◽  
...  

2020 ◽  
Vol 146 ◽  
pp. 73-83
Author(s):  
Liyun Yue ◽  
Zhen Yan ◽  
Hao Li ◽  
Xun Liu ◽  
Piaoyang Sun

2014 ◽  
Vol 99 ◽  
pp. 51-58 ◽  
Author(s):  
Andrea Allmendinger ◽  
Le-Ha Dieu ◽  
Stefan Fischer ◽  
Robert Mueller ◽  
Hanns-Christian Mahler ◽  
...  

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