Mating type regulation of cellular tolerance to DNA damage is specific to the DNA post‐replication repair and mutagenesis pathway
Bibliographic record
Abstract
In order to help further define DNA post-replication repair (PRR), a conditional synthetic lethal screen was employed to identify new genes involved in the PRR pathway. A synthetic lethal screen with the mms2 mutation resulted in the recovery of two suppressor mutations responsible for regulating PRR. The recovered suppressors are the mating type genes and SIR3. Indeed, controlled expression of both mating type genes or deletion of SIR3 rescued the conditional synthetic lethal mutant phenotypes. Furthermore, comprehensive analyses suggest that mating type heterozygosity confers tolerance to a broad range of DNA damage, and that this effect is limited to all PRR pathway mutations, but does not apply to base excision repair, nucleotide excision repair or recombination repair mutants. In addition, the tolerance conferred to PRR mutants as a result of mating type heterozygosity is dependent on a functional homologous recombination but not the non-homologous end-joining pathway. Thus, mating type status appears to be responsible for signalling DNA content and possibly cell cycle stage, allowing the cell to select the most efficient means to repair the DNA damage.
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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 | 0.000 |
| 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".