Bibliographic record
Abstract
Alterations in chromatin structure by histone post- translational modifications appear to play a central role in the regulation of gene transcription. Histone modifications consist of methylation, acetylation, phosphorylation and ubiquityination. Among them histone acetylation is of critical importance. The level of histone acetylation depends on the activity of two families of enzymes, histone acetyltransferases (HATs) and histone deacetylases (HDACs). HATs, which is frequently part of multisubunit coactivator complexes, lead to the relaxation of chromatin structure and transcriptional activation, while HDACs tend to associate with multisubunit corepressor complexes, resulting in chromatin condensation and transcriptional repression of specific target genes. Chromosomal translocations are often associated with acute leukemias, and a significant number of translocations involve genes encoding HATs and HDACs. On the other hand, some histone acetylation- modifying enzymes have been located within chromosomal regions that are particularly prone to chromosomal breaks. The recent achievements in studies aimed at elucidating the biological roles of histone acetylation modifying enzymes and their potential impacts on the molecular changes involved in the development of cancers are reviewed.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".