Cross-talking histones: implications for the regulation of gene expression and DNA repair
Bibliographic record
Abstract
The regulation of chromatin structure is essential to life. In eukaryotic organisms, several classes of protein exist that can modify chromatin structure either through ATP-dependent remodeling or through the post-translational modification of histone proteins. A vast array of processes ranging from transcriptional regulation to DNA repair rely on these histone-modifying enzymes. In the last few years, enzymes involved in the post-translational modification of histone proteins have become a topic of intense interest. Our work and the work of several other laboratories has focused largely on understanding the biological role of the yeast histone methyltransferase COMPASS (complex of proteins associated with Set1) and its human homologue the MLL complex. The Set1-containing complex COMPASS acts as the sole histone H3 lysine 4 methyltransferase in Saccharomyces cerevisiae, and this methyl mark is important for transcriptional regulation and silencing at the telomeres and rDNA loci. Another histone methyltransferase, Dot1, methylates lysine 79 of histone H3 and is also essential for proper silencing of genes near telomeres, the rDNA loci, and the mating type loci. Employing our global biochemical screen GPS (global proteomic analysis of S. cerevisiae) we have been successful in identifying and characterizing several key downstream and upstream regulators of both COMPASS and Dot1 histone methyltransferase activity. This review details efforts made towards understanding the regulatory mechanisms and biological significance of COMPASS and Dot1p-mediated histone methylation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.005 |
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".