Coactivator requirements for p53‐dependent transcription in the yeast <i>Saccharomyces cerevisiae</i>
Bibliographic record
Abstract
p53 is a sequence-specific DNA-binding transcription factor and key regulator of cell cycle arrest and apoptosis. p53 is mutated in most human cancers and these mutations generally impair its ability to activate transcription. When expressed in Saccharomyces cerevisiae, p53 acts as a strong transcriptional activator allowing yeast to be used as a model system to study the effects of p53 mutations on activity. However, little is known about the exact mechanisms by which p53 functions in yeast. Using 76 mutant yeast strains, we have evaluated the effect of deleting components of the ADA, COMPASS, INO80, ISW1, Mediator, RSC, SAGA, SAS, SLIK, SWI/SNF, and SWR1 transcriptional regulatory complexes on p53-dependent transcription. In addition, we examined the role of histone H2B ubiquitylation by Rad6/Bre1 on p53 activation. Overall, our analysis indicates that there are several remarkable similarities between p53-dependent transcription in yeast and mammalian cells, suggesting that yeast can serve as a valid model system for at least some aspects of p53 function.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".