Development and Characterization of Gene Silencing DNA Cages
Bibliographic record
Abstract
RNA interference (RNAi) is a powerful therapeutic strategy that induces gene silencing by targeting disease-causing mRNA and can lead to their removal through degradation pathways. The potential of RNAi is especially relevant in cancer therapy, as it can be designed to regulate the expression of genes involved in all stages of tumor development (initiation, growth, and metastasis). We have generated gene silencing 3D DNA prisms that integrate antisense oligonucleotide therapeutics at 1, 2, 4, and 6 positions. Synthesis of these structures is readily achieved and leads to the assembly of highly monodisperse and well-characterized structures. We have shown that antisense strands scaffolded on DNA cages can readily induce gene silencing in mammalian cells and maintain gene knockdown levels more effectively than single and double stranded controls through increased stability of bound antisense units.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".