Random deposition of histone variants: A cellular mistake or a novel regulatory mechanism?
Bibliographic record
Abstract
Despite the fact that it has been intensively studied during the last decade, the function of the histone variant H2A.Z remains enigmatic. In the last few years, we and others have determined the localization of H2A.Z in various organisms. These studies have revealed that H2A.Z occupies different well defined regions in the genome. Interestingly, H2A.Z occupies the promoters and regulatory regions of active genes, as well as constitutive and facultative heterochromatin. The localization of H2A.Z on genomic regions with so diverse functions suggests that the roles of H2A.Z are multiple, only increasing the mystery around this molecule. The way H2A.Z finds its way into these regions is not fully understood but mechanisms that direct the specific incorporation of H2A.Z in promoters and enhancers have been well described. In this "point of view," we will review our recent work suggesting that non-targeted incorporation, coupled to targeted depletion of H2A.Z, is a novel mechanism for localizing H2A.Z to some regions. We propose that the various functions of H2A.Z may be a consequence of the mechanism used for its incorporation, as well as its interactions with other histone variants.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".