Zn<sup>2+</sup>‐Coordination‐Driven RNA Assembly with Retained Integrity and Biological Functions
Bibliographic record
Abstract
Abstract Metal‐coordination‐directed biomolecule crosslinking in nature has been used for synthesizing various biopolymers, including DNA, peptides, proteins, and polysaccharides. However, the RNA biopolymer has been avoided so far, as due to the poor stability of the RNA molecules, the formation of a biopolymer may alter the biological function of the molecules. Herein, for the first time, we report Zn2+‐driven RNA self‐assembly forming spherical nanoparticles while retaining the integrity and biological function of RNA. Various functional RNAs of different compositions, shapes, and lengths from 20 to nearly 1000 nucleotides were used, highlighting the versatility of this approach. The assembled nanospheres possess a superior RNA‐loading efficiency, pharmacokinetics, and bioavailability. In‐vitro and in‐vivo evaluation demonstrated mRNA delivery for expressing GFP proteins, and microRNA delivery to triple‐negative breast cancer. This coordination‐directed self‐assembly behavior amplifies the horizons of RNA coordination chemistry and the application scope of RNA‐based therapeutics.
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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".