High-Titer Adenovirus Vector Production in 293S Cell Perfusion Culture
Bibliographic record
Abstract
Human 293S cells culture for recombinant adenovirus production is traditionally carried out in batch at a maximum of 6 x 10(5) cells/mL. A previous report demonstrated that fed-batch, applied to the adenovirus/293S cells system, improves the volumetric production of viral proteins by increasing the cell density at which cells can be infected, up to 2 x 10(6) cells/mL, without reducing the per-cell yield of product. To increase this cell density limit, the adenovirus production was performed in a perfusion system where the cells were separated by means of a tangential flow filtration device. 293S cell growth to 14 x 10(6) cells/mL was achieved in 10 days, at a medium renewal rate of 1 volume of medium per reactor volume and day (VVD). For adenovirus production, three 293S cell cultures were perfused at 1 VVD in parallel and infected at an average density of 8 x 10(6) cells/mL. One of the cultures was set at 37 degrees C and the two others at 35 degrees C. After a rapid initial cell loss, the average cell density stabilized at 5.75 x 10(6) cells/mL, 12 h postinfection, which was 8 times higher than the cell density in the batch control. This allowed the production of 3.2 x 10(9) infectious viral particles/mL (IVP/mL) at 37 degrees C and 7.8 x 10(9) IVP/mL at 35 degrees C, this last result being 5.5 times higher than the control. To our knowledge, this nonconcentrated titer is the highest value that has ever been published for adenovirus vector production. These observations lead to the conclusion that perfusion is an efficient tool to maintain, at high cell density, a specific production rate level sufficient to increase significantly the adenovirus volumetric production. Furthermore, it shows that perfusion at 35 degrees C can improve viral titer by 2.4-fold compared to 37 degrees C, in accordance with a previous study on adenovirus batch production.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".