Pdr3 is required for DNA damage induction of MAG1 and DDI1 via a bi-directional promoter element
Bibliographic record
Abstract
In order to understand how gene regulation is achieved in eukaryotes in response to DNA damage, we used budding yeast as a model lower eukaryotic organism and investigated the molecular events leading to the expression of two closely clustered damage-inducible genes, MAG1 and DDI1. MAG1 and DDI1 are co-activated by a shared 8 bp repeat sequence, UAS(DM). In this study, we screened a yeast genomic library, identified Pdr3 as the transcriptional activator and demonstrated in vivo and in vitro that Pdr3 binds UAS(DM). Pdr3 is required for the activation of a number of genes encoding membrane efflux pumps and deletion of PDR3 results in reduced basal-level expression and loss of DNA damage induction of MAG1 and DDI1. Interestingly, Pdr1, another transcriptional activator homologous to Pdr3 that is also required for the activation of multidrug-resistance genes, is not involved in the regulation of MAG1 and DDI1 expression, although it may also bind to UAS(DM). Deletion of PDR3 does not affect the expression of other well-documented DNA damage-inducible genes; hence, yeast DNA damage-inducible genes appear to have distinct effectors although to a certain extent they share a common regulatory pathway mediated by DNA damage checkpoints.
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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 | 0.001 |
| 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".