Methylation of H3 Lysine 4 at Euchromatin Promotes Sir3p Association with Heterochromatin
Bibliographic record
Abstract
Set1p methylates lysine 4 of histone H3 and can activate transcription by recruiting the chromatin-remodeling factor Isw1p. In addition, Lys-4-methylated H3 is required for maintenance of silencing at the telomeres, rDNA, and HML locus in Saccharomyces cerevisiae. The molecular mechanism underlying the role of Set1p in silencing is not known. Here we report that euchromatic methylation of H3 Lys-4 is necessary to maintain silencing at specific heterochromatic sites. Inactivation of Set1p catalytic activity or mutation of H3 Lys-4 leads to decreased binding of the silent information regulator Sir3p at heterochromatic sites. Concomitantly, there is an increase in the amount of Sir3p bound to genes located in subtelomeric regions. Consistent with this result is the finding that in vitro, Sir3p preferentially binds histone H3 tails when methylation is absent at H3 Lys-4, a situation found in heterochromatin. The inability of Sir3p to bind methylated H3 Lys-4 tails suggests a model whereby H3 Lys-4 methylation prevents Sir3p association at euchromatic sites and therefore concentrates Sir3p at unmodified, heterochromatic regions of the genome.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".