Optimized DNA “Nanosuitcases” for Encapsulation and Conditional Release of siRNA
Bibliographic record
Abstract
We set out to design, synthesize, and optimize a DNA-minimal cage capable of encapsulating oligonucleotide drugs to facilitate their delivery. Through rational design and optimization using in vitro assays, we have assembled the first DNA "nanosuitcase" that can encapsulate a siRNA construct and release it upon recognition of an oligonucleotide trigger. The latter may be a mRNA or a microRNA (miRNA) which offers potential for dual or synergistic therapy. This construct assembles in near 100% yield, releases its cargo on demand, and can sustain biological conditions. Moreover, we find that the DNA scaffold is able to protect its cargo against site-specific cleavage and nuclease degradation. Release of the cargo is performed with fixed cells using a FRET-enabled construct imaged by confocal microscopy and reveals that the DNA cage remains responsive at the molecular level in a complex cellular environment. We foresee this construct will be able to address challenges in drug delivery, more specifically in nontoxic delivery and targeted release.
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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) | 0.001 | 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 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".