An unconventional strategy for purifying recombinant SARS-CoV-2 spike protein
Bibliographic record
Abstract
• Unconventional strategy for purification of recombinant spike protein. • Cuboid size exclusion chromatography for partial purification and buffer exchange. • Cation exchange membrane chromatography for polishing. • Variant independent purification process. • Suitable for purification of untagged spike protein. The soluble domain of the trimeric SARS-CoV-2 spike protein is a promising candidate for a COVID-19 vaccine. Purification of this protein from mammalian cell culture supernatant using conventional resin-based chromatography is challenging as its large size (∼550 kDa) restricts its access and mobility within the pores of the resin particles. This reduces binding capacity and process robustness very significantly as extremely low flow rates need to be used during purification. Convection-based ion-exchange membrane chromatography has been found to be suitable in this respect. However, the high ionic strength of mammalian cell culture supernatant makes it difficult to bind this protein on charged membranes without dilution with a suitable buffer. An unconventional strategy involving size-exclusion chromatography as the first step, followed by cation exchange membrane chromatography as the second step is proposed in this paper. In the size exclusion chromatography step, the spike protein is excluded from the pores and can therefore be isolated in the void volume fraction. This step removes small molecule impurities and also serves as a desalting and buffer exchange step, making the partially purified material suitable for the cation exchange membrane chromatography step. The proposed process is variant-independent, fast and scalable and addresses some of the challenges associated with the currently used purification methods.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".