Compromised DNA Repair Enhances Sensitivity of the Yeast RNR3-lacZ Genotoxicity Testing System
Bibliographic record
Abstract
The RNR3-lacZ genotoxicity testing system was developed based on the induction of a Saccharomyces cerevisiae RNR3-lacZ reporter gene in response to a broad range of DNA-damaging agents. In order to enhance the sensitivity of the RNR3-lacZ system, several deletion mutant strains representing different repair pathways were created and examined for their effects on RNR3-lacZ expression. It was found that inactivation of different DNA repair pathways has profound effects on the DNA damage induction of RNR3 expression. Although deletion of MAG1 in the base excision repair pathway enhances the detection sensitivity to DNA-alkylating agents, and deletion of RAD2 in the nucleotide excision repair pathway enhances the detection sensitivity to ultraviolet and agents that produce bulky lesions, inactivation of genes involved in the recombination repair and postreplication repair variably reduces RNR3-lacZ induction. This study not only helps to establish a more sensitive genotoxicity testing system but also suggests that certain eukaryotic DNA repair pathways are required for gene regulation in response to DNA damage and probably serve as sensors in the signal transduction cascade.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".