Cationic Polystyrene Latex Nanocarriers for Immunostimulatory Long Double‐Stranded <scp>RNA</scp> Delivery to Ovarian Cancer Cells
Bibliographic record
Abstract
Long double-stranded (ds)RNA, a potent stimulator of type I interferon and the innate immune response. In the present study, we demonstrated, for the first time, the efficacy of cationic polystyrene latex nanostructures (clNPs) as a dsRNA carrier, improving cellular delivery and robustly potentiating the immunostimulatory capacity of dsRNA in the ovarian cancer cell line SKOV3. The clNPs complexed with an in vitro transcribed dsRNA molecule, were bound by SKOV3 cells, and had increased cellular association compared to uncomplexed clNPs. clNPs complexed with dsRNA induced a more robust innate immune response compared to dsRNA alone. Transcript expression of two interferon-stimulated genes, were increased 47- and 108-fold over dsRNA and induced a significant antiviral state against vesicular-stomatitis virus, resulting in a 3.3-fold improvement on the efficacy of dsRNA. These data highlight the potential of polystyrene latex nanostructures as dsRNA carriers for anticancer immunotherapies, improving the uptake and efficacy of the nucleic acid.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".