Programmable Metal/Semiconductor Nanostructures for mRNA-Modulated Molecular Delivery
Bibliographic record
Abstract
Cytotoxic chemotherapeutics are important tools for the clinical treatment of a variety of solid tumors. However, their use is often complicated by multidrug resistance that can develop in patients, limiting the potencies of these agents. New strategies are needed to provide versatile systems that can respond to and disable resistance mechanisms. We demonstrate the use of a new family of materials, programmable metal/semiconductor nanostructures, for drug delivery and mRNA sensing in drug-resistant cells. These materials are composed of a central core gold nanoparticle surrounded by a layer of DNA-capped quantum dots. The modularity of these "core-satellite" assemblies allows for the construction of superstructures with controlled size and the incorporation of multiple functionalities for drug delivery. The DNA sequence within the nanoparticle specifically binds to an mRNA encoding an important drug resistance factor, MRP1, inside cancer cells, releasing a potent anticancer drug doxorubicin. This event triggers a turn-on fluorescence emission along with a downregulation of the MRP1 drug efflux pump, a main resistance factor for doxorubicin, yielding a remarkable improvement in therapeutic efficacy against drug-resistant cancer cells. This work paves the way for the development of programmable materials with multiple synergistic functionalities for biomedical applications.
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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".