Process development and scale-up optimization of the SARS-CoV-2 receptor binding domain–based vaccine candidate, RBD219-N1C1
0303 health sciences
COVID-19 Vaccines
SARS-CoV-2
COVID-19
Reproducibility of Results
Biotechnological Products and Process Engineering
3. Good health
Mice
03 medical and health sciences
Saccharomycetales
Spike Glycoprotein, Coronavirus
Animals
Humans
DOI:
10.1007/s00253-021-11281-3
Publication Date:
2021-05-07T01:03:02Z
AUTHORS (12)
ABSTRACT
Abstract
A SARS-CoV-2 RBD219-N1C1 (RBD219-N1C1) recombinant protein antigen formulated on Alhydrogel® has recently been shown to elicit a robust neutralizing antibody response against SARS-CoV-2 pseudovirus in mice. The antigen has been produced under current good manufacturing practices (cGMPs) and is now in clinical testing. Here, we report on process development and scale-up optimization for upstream fermentation and downstream purification of the antigen. This includes production at the 1-L and 5-L scales in the yeast, Pichia pastoris, and the comparison of three different chromatographic purification methods. This culminated in the selection of a process to produce RBD219-N1C1 with a yield of >400 mg per liter of fermentation with >92% purity and >39% target product recovery after purification. In addition, we show the results from analytical studies, including SEC-HPLC, DLS, and an ACE2 receptor binding assay that were performed to characterize the purified proteins to select the best purification process. Finally, we propose an optimized upstream fermentation and downstream purification process that generates quality RBD219-N1C1 protein antigen and is fully scalable at a low cost.
Key points
• Yeast fermentation conditions for a recombinant COVID-19 vaccine were determined.
• Three purification protocols for a COVID-19 vaccine antigen were compared.
• Reproducibility of a scalable, low-cost process for a COVID-19 vaccine was shown.
Graphical abstract
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (39)
CITATIONS (41)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....