A selective, inexpensive probe for UV-induced damage in nucleic acids
Bibliographic record
Abstract
Absorption of UV light by nucleic acids can result in the formation of molecular lesions in DNA and RNA, leading to mutagenesis, carcinogenesis, and cell death. In this work, hairpin oligonucleotide probes, which have previously been shown to be selective for DNA damage, are used. The hypochromic effect, which arises from the formation of the target–hairpin hybrid when there is no damage, is used to measure the amount of UV damage by measuring the amount of single-stranded DNA oligonucleotides. With accumulated UV exposure, the target–hairpin hybrid concentration decreases and the absorbance increases, enabling detection of UV-induced DNA damage. Our results show that the selectivity for DNA damage of the hypochromism probe is comparable with the molecular beacon probes, detecting between one and three lesions in an oligonucleotide. In addition, this probe is more than 10 times cheaper than molecular beacon probes. However, it shows lower sensitivity to DNA damage. This makes its use recommended for high-throughput, qualitative analysis of DNA damage. This introduces a simple, fast, mix-and-read assay for the detection of DNA damage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".