Retroviral vector production using suspension‐adapted 293GPG cells in a 3L acoustic filter‐based perfusion bioreactor
Bibliographic record
Abstract
Recombinant retroviruses are now an established tool for gene delivery. Presently they are mainly produced using adherent cells. However, due to the restrictive nature of adherent cell culture, this mode of production is hampered by low cell-specific productivity and small production units. The large-scale production of retroviral vectors could benefit from the adaptation of retrovirus packaging cell lines to suspension culture. Here, we describe the ability of a 293 packaging cell line to produce retroviral vectors in suspension culture at high titer. Adherent 293GPG cells, producing a Moloney Murine Leukemia Virus (MoMLV) retrovirus vector pseudotyped with the vesicular stomatitis virus G (VSVG) envelope protein and expressing a TK-GFP fusion protein, were adapted to suspension culture in calcium-free DMEM. At a cell density similar to adherent cell culture, the suspension culture produced retroviral vector consistently in the range of 1 x 10(7) infectious viral particles/mL (IVP/mL), with a specific productivity threefold higher than adherent culture. Furthermore, at the same medium replacement frequency, the suspension producer cells could be cultured at higher density than their adherent counterparts, which resulted in virus titer of 3-4 x 10(7) IVP/mL at 11.0 x 10(6) cells/mL. This corresponds to a 10-fold increase in viral concentration compared to adherent cells. The capacity to up scale the retroviral vector production was also demonstrated by performing a 2 VVD perfusion culture for 9 days in a 3L Chemap bioreactor. The combination of suspension and perfusion led to a 20-fold increase in maximum virus productivity compared to the adherent culture.
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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 | 0.000 |
| 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".