Extracellular vesicle depletion and UGCG overexpression mitigate the cell density effect in HEK293 cell culture transfection
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The hitherto unexplained reduction of cell-specific productivity in transient gene expression (TGE) at high cell density (HCD) is known as the cell density effect (CDE). It currently represents a major challenge in TGE-based bioprocess intensification. This phenomenon has been largely reported, but the molecular principles governing it are still unclear. The CDE is currently understood to be caused by the combination of an unknown inhibitory compound in the extracellular medium and an uncharacterized cellular change at HCD. This study investigates the role of extracellular vesicles (EVs) as extracellular inhibitors for transfection through the production of HIV-1 Gag virus-like particles (VLPs) via transient transfection in HEK293 cells. EV depletion from the extracellular medium restored transfection efficiency in conditions that suffer from the CDE, also enhancing VLP budding and improving production by 60%. Moreover, an alteration in endosomal formation was observed at HCD, sequestering polyplexes and preventing transfection. Overexpression of UDP-glucose ceramide glucosyltransferase (UGCG) enzyme removed intracellular polyplex sequestration, improving transfection efficiency. Combining EV depletion and UGCG overexpression improved transfection efficiency by ∼45% at 12 × 10 6 cells/mL. These results suggest that the interaction between polyplexes and extracellular and intracellular vesicles plays a crucial role in the CDE, providing insights for the development of strategies to mitigate its impact.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it