| Literature DB >> 26925077 |
Stephan Menzel1, Tanja Holland1, Alexander Boes2, Holger Spiegel2, Johanna Bolzenius3, Rainer Fischer4, Johannes F Buyel5.
Abstract
Plants provide an advantageous expression platform for biopharmaceutical proteins because of their low pathogen burden and potential for inexpensive, large-scale production. However, the purification of target proteins can be challenging due to issues with extraction, the removal of host cell proteins (HCPs), and low expression levels. The heat treatment of crude extracts can reduce the quantity of HCPs by precipitation thus increasing the purity of the target protein and streamlining downstream purification. In the overall context of downstream process (DSP) development for plant-derived malaria vaccine candidates, we applied a design-of-experiments approach to enhance HCP precipitation from Nicotiana benthamiana extracts generated after transient expression, using temperatures in the 20-80°C range, pH values of 3.0-8.0 and incubation times of 0-60 min. We also investigated the recovery of two protein-based malaria vaccine candidates under these conditions and determined their stability in the heat-treated extract while it was maintained at room temperature for 24 h. The heat precipitation of HCPs was also carried out by blanching intact plants in water or buffer prior to extraction in a blender. Our data show that all the heat precipitation methods reduced the amount of HCP in the crude plant extracts by more than 80%, simplifying the subsequent DSP steps. Furthermore, when the heat treatment was performed at 80°C rather than 65°C, both malaria vaccine candidates were more stable after extraction and the recovery of both proteins increased by more than 30%.Entities:
Keywords: blanching; design of experiments; downstream processing; heat precipitation; host cell proteins; plant-derived biopharmaceuticals; vaccine development
Year: 2016 PMID: 26925077 PMCID: PMC4756251 DOI: 10.3389/fpls.2016.00159
Source DB: PubMed Journal: Front Plant Sci ISSN: 1664-462X Impact factor: 5.753
Quality parameters of the predictive models for heat precipitation in extract, blanching in buffer and the pH stability of C9S and FQS derived from DoE analysis.
| Model | Target protein | Adjusted | Predicted | |
|---|---|---|---|---|
| Heat precipitation in extract | C9S | 0.9051 | 0.8903 | 0.8441 |
| FQS | 0.9806 | 0.9773 | 0.9688 | |
| Blanching in buffer | C9S | 0.9736 | 0.9686 | 0.9548 |
| FQS | 0.9763 | 0.9545 | 0.8132 | |
| pH stability | C9S | 0.9664 | 0.9624 | 0.9537 |
| FQS | 0.9551 | 0.9923 | 0.9836 |