Dynamics of histone acetylation in vivo. A function for acetylation turnover?
Bibliographic record
Abstract
Histone acetylation, discovered more than 40 years ago, is a reversible modification of lysines within the amino-terminal domain of core histones. Amino-terminal histone domains contribute to the compaction of genes into repressed chromatin fibers. It is thought that their acetylation causes localized relaxation of chromatin as a necessary but not sufficient condition for processes that repackage DNA such as transcription, replication, repair, recombination, and sperm formation. While increased histone acetylation enhances gene transcription and loss of acetylation represses and silences genes, the function of the rapid continuous or repetitive acetylation and deacetylation reactions with half-lives of just a few minutes remains unknown. Thirty years of in vivo measurements of acetylation turnover and rates of change in histone modification levels have been reviewed to identify common chromatin characteristics measured by distinct protocols. It has now become possible to look across a wider spectrum of organisms than ever before and identify common features. The rapid turnover rates in transcriptionally active and competent chromatin are one such feature. While ubiquitously observed, we still do not know whether turnover itself is linked to chromatin transcription beyond its contribution to rapid changes towards hyper- or hypoacetylation of nucleosomes. However, recent experiments suggest that turnover may be linked directly to steps in gene transcription, interacting with nucleosome remodeling complexes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".