Formulation and Delivery of siRNA by Oleic Acid and Stearic Acid Modified Polyethylenimine
Why this work is in the frame
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Bibliographic record
Abstract
This study was conducted to formulate a nonviral delivery system for the delivery of small interfering RNA (siRNA) to B16 melanoma cells in vitro. For this purpose, oleic and stearic acid modified derivatives of branched polyethylenimine (PEI) were prepared and evaluated. The hydrophobically modified polymers increased siRNA condensation up to 3 folds as compared to the parent PEI. The modified PEIs exhibited up to 3-fold higher siRNA protection from degradation in fetal bovine serum as compared to the parent PEI. The formulated complexes were shown to enter B16 cells in a time-dependent fashion, reaching over 90% of the cells after 24 h, as compared to only 5% of the cells displaying siRNA uptake in the absence of any carrier. A proportional reduction in siRNA cell uptake was observed with reduced polymeric content in the formulations. When used to deliver various doses of siRNA to B16 cells, the modified PEIs were superior or comparable to some of the commercially available transfection agents; the hydrophobically modified polymers gave 3-fold increased siRNA delivery than the parent PEI, approximately 5-fold higher delivery than jetPEI and Metafectene, a comparable delivery to Lipofectamine 2000, but a 1.6-fold decreased delivery compared to INTERFERin, which was the most efficient reagent in our hands. Using an siRNA specific for integrin alpha(v), a dose-dependent decrease in integrin alpha(v) levels was demonstrated in B16 cells by flow cytometry, revealing a more pronounced reduction of integrin alpha(v) levels for oleic- and stearic-acid modified PEIs. The overall results suggested that the hydrophobically modified PEIs provide a promising delivery strategy for siRNA therapeutic applications.
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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 | 0.000 | 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) | 0.000 | 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