Minimalist Design of a Stimuli-Responsive Spherical Nucleic Acid for Conditional Delivery of Oligonucleotide Therapeutics
Bibliographic record
Abstract
In this work, we report a component-minimal spherical nucleic acid (SNA) from monodisperse DNA-polymer conjugates that can load and release nucleic acid therapeutics in a stimuli-responsive manner. We show that this vehicle assembles from only four strands, and conditional release of its antisense therapeutic cargo can be induced upon recognition of specific oligonucleotide triggers via strand displacement. The latter (triggers) may be a microRNA that offers additional synergistic therapy, in addition to the previously shown ability of the SNA to load hydrophobic drugs. The SNA is easy to prepare, has dynamic character, releases its cargo only upon the presence of both triggers, and can survive biological conditions while protecting its cargo. The gene silencing potency of the cargo was tested in live cells and shown to be suppressed when loaded in the SNA, and its activity was restored only upon release with the two triggers. This vehicle has the essential characteristics of versatility, ease of synthesis, low cost, highly responsive behavior, and ability to support combination therapies, making it a promising candidate for cell-selective drug delivery and clinical transition.
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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".