YEATS domain proteins: a diverse family with many links to chromatin modification and transcriptionThis paper is one of a selection of papers published in this Special Issue, entitled CSBMCB’s 51st Annual Meeting – Epigenetics and Chromatin Dynamics, and has undergone the Journal’s usual peer review process.
Bibliographic record
Abstract
Chromatin modifications play crucial roles in various biological processes. An increasing number of conserved protein domains, often found in multisubunit protein complexes, are involved in establishing and recognizing different chromatin modifications. The YEATS domain is one of these domains, and its role in chromatin modifications and transcription is just beginning to be appreciated. The YEATS domain family of proteins, conserved from yeast to human, contains over 100 members in more than 70 eukaryotic species. Yaf9, Taf14, and Sas5 are the only YEATS domain proteins in Saccharomyces cerevisiae. Human YEATS domain family members, such as GAS41, ENL, and AF9, have a strong link to cancer. GAS41 is amplified in glioblastomas and astrocytomas; ENL and AF9 are among the most frequent translocation partners of the mixed lineage leukemia (MLL) gene. This review will focus on the best characterized YEATS proteins, discuss their diverse roles, and reflect potential functions of the YEATS domain.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".