Insights into the Role of Histone H3 and Histone H4 Core Modifiable Residues in <i>Saccharomyces cerevisiae</i>
Bibliographic record
Abstract
The biological significance of recently described modifiable residues in the globular core of the bovine nucleosome remains elusive. We have mapped these modification sites onto the Saccharomyces cerevisiae histones and used a genetic approach to probe their potential roles both in heterochromatic regions of the genome and in the DNA repair response. By mutating these residues to mimic their modified and unmodified states, we have generated a total of 39 alleles affecting 14 residues in histones H3 and H4. Remarkably, despite the apparent evolutionary pressure to conserve these near-invariant histone amino acid sequences, the vast majority of mutant alleles are viable. However, a subset of these variant proteins elicit an effect on transcriptional silencing both at the ribosomal DNA locus and at telomeres, suggesting that posttranslational modification(s) at these sites regulates formation and/or maintenance of heterochromatin. Furthermore, we provide direct mass spectrometry evidence for the existence of histone H3 K56 acetylation in yeast. We also show that substitutions at histone H4 K91, K59, S47, and R92 and histone H3 K56 and K115 lead to hypersensitivity to DNA-damaging agents, linking the significance of the chemical identity of these modifiable residues to DNA metabolism. Finally, we allude to the possible molecular mechanisms underlying the effects of these modifications.
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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".