Target‐Induced Catalytic Assembly of Y‐Shaped DNA and Its Application for In Situ Imaging of MicroRNAs
Bibliographic record
Abstract
DNA is a highly programmable material that can be configured into unique high-order structures, such as DNA branched junctions containing multiple helical arms converging at a center. Herein we show that DNA programmability can deliver in situ growth of a 3-way junction-based DNA structure (denoted Y-shaped DNA) with the use of three hairpin-shaped DNA molecules as precursors, a specific microRNA target as a recyclable trigger, and a DNA polymerase as a driver. We demonstrate that the Y-shaped configuration comes with the benefit of restricted freedom of movement in confined cellular environment, which makes the approach ideally suited for in situ imaging of small RNA targets, such as microRNAs. Comparative analysis illustrates that the proposed imaging technique is superior to both the classic fluorescence in situ hybridization (FISH) method and an analogous amplified imaging method via programmed growth of a double-stranded DNA (rather than Y-shaped DNA) product.
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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 | 0.001 | 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".