Disruptor of Telomeric Silencing-1 Is a Chromatin-specific Histone H3 Methyltransferase
Bibliographic record
Abstract
Yeast disruptor of telomeric silencing-1 (DOT1) is involved in gene silencing and in the pachytene checkpoint during meiotic cell cycle. Here we show that the Dot1 protein possesses intrinsic histone methyltransferase (HMT) activity. When compared with Rmt1, another putative yeast HMT, Dot1 shows very distinct substrate specificity. While Rmt1 methylates histone H4, Dot1 targets histone H3. In contrast to Rmt1, which can only modify free histones, Dot1 activity is specific to nucleosomal substrates. This was also confirmed using native chromatin purified from yeast cells. We also demonstrate that, like its mammalian homolog PRMT1, Rmt1 specifically dimethylates an arginine residue at position 3 of histone H4 N-terminal tail. In surprising contrast, methylation by Dot1 occurs in the globular domain of nucleosomal histone H3. Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) analysis suggests that H3 lysine 79 is trimethylated by Dot1. The intrinsic nucleosomal histone H3 methyltransferase activity of Dot1 is certainly a key aspect of its function in gene silencing at telomeres, most likely by directly modulating chromatin structure and Sir protein localization. In agreement with a role in regulating localization of histone deacetylase complexes like SIR, an increase of bulk histone acetylation is detected in dot1- cells.
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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) | 0.002 | 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".