Creation of a Hyperpermeable Yeast Strain to Genotoxic Agents through Combined Inactivation of PDR and CWP Genes
Bibliographic record
Abstract
We previously established a genotoxicity detection system based on the transcriptional response of the yeast RNR3 gene to DNA damage. In order to further improve its sensitivity to genotoxicants, we have attempted to increase cell permeability by removing cell wall mannoproteins (CWPs). Here, we report that selected deletion of pleiotropic drug resistance (PDR) genes encoding membrane efflux transporters also enhanced cellular sensitivity to treatment by various genotoxic agents. Furthermore, we have validated our hypothesis that PDR and CWP protect cells through different mechanisms by demonstrating that simultaneous inactivation of the above two pathways resulted in a synergistic enhancement of assay sensitivity as measured by RNR3-lacZ expression and that this effect is at the cell permeability level. The quadruple mutation results in RNR3-lacZ assay sensitivity to tested chemicals that apparently surpasses the industry standard Ames test. We argue that this hyperpermeable yeast mutant strain would be suitable for other chemical-based genotoxic assays.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".