Production of Recombinant Adeno-Associated Viral Vectors Using a Baculovirus/Insect Cell Suspension Culture System: From Shake Flasks to a 20-L Bioreactor
Bibliographic record
Abstract
Production of recombinant adeno-associated viral vectors using a baculovirus/insect cell system at various scales is presented. Shake flask studies were conducted to assess conditions to be used in bioreactors. Two insect cell lines, Trichoplusia ni (H5) and Spodoptera frugiperda (Sf9), were compared for their ability to produce rAAV-2 after infection with recombinant baculoviruses coding for the essential components of the vector. The effect of varying the ratio between individual baculoviruses and the effect of the overall multiplicity of infection (MOI), as well as the cell density at infection, were also examined. Infectious rAAV-2 particles were proportionally produced when increasing the individual MOI of BacRep virus up to 1.6. When equal amounts of each virus were used, a leveling effect occurred beyond an overall MOI of 5 and a maximum titer was obtained. Increasing the cell density at infection resulted in higher yields when infecting the cells in fresh medium; however, for the production of bioactive particles, an optimal peak cell density of approximately 1 x 10(6) cells/mL was observed without medium exchange. Infection in 3- and 20-L bioreactors was done at an overall MOI of 5 with a ratio of the three baculoviruses equal to 1:1:1. Under these conditions and infecting the cells in fresh medium, a total of approximately 2.2 x 10(12) infectious viral particles (bioactive particles) or 2.6 x 10(15) viral particles were produced in a 3-L bioreactor. Without replacing the medium at infection, similar titers were produced in 20 L. Our data demonstrates the feasibility of rAAV-2 production by BEVS at various scales in bioreactors and indicates that further optimization is required for production at high cell densities.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".