Opposite Role of Yeast ING Family Members in p53-dependent Transcriptional Activation
Bibliographic record
Abstract
The inhibitor-of-growth (ING) family of proteins was founded by human ING1, a tumor suppressor interacting with p53 in vivo and required for its function in transcription/apoptosis. There are five different ING genes in humans, three of which have been linked to p53 function. In this study, we analyzed the three ING family members present in yeast. We demonstrate that each one is purified as a key component of a specific histone-modifying complex. Pho23 is part of Rpd3/Sin3 histone deacetylase complex, while Yng1 and Yng2 are subunits of the NuA3 and NuA4 histone acetyltransferase complexes, respectively. We also show that the three different ING proteins have opposite roles in transcriptional activation by p53 in vivo. These effects are linked to the presence of each ING in its respective chromatin modifying complex, since mutation of the corresponding catalytic subunit gave similar results. Depletion of Pho23/Rpd3 leads to increased p53-dependent transcription in vivo while depletion of Yng2 abrogates it. Surprisingly, deletion of YNG1 or SAS3 leads to increased transcriptional activation by p53. These data suggest that the NuA3 complex can function in gene-specific repression, an unusual role for a histone acetyltransferase complex. They also demonstrate the key specific role of ING proteins in different chromatin modifying complexes and their opposite functions in p53-dependent transcription.
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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 | 0.000 |
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".