Concomitant acetylation and loading of H2A.Z by NuA4/TIP60 regulate target gene transcription
Bibliographic record
Abstract
ABSTRACT The human NuA4/TIP60 complex is a multi-subunit, dual enzymatic epigenetic factor and gene regulator. It bears histone acetyltransferase (HAT) activity towards the canonical histones H2A and H4 and the histone variant H2A.Z, a function that has been linked to gene activation. It also acts as a chromatin remodeling enzyme through ATP-dependent exchange of nucleosomal H2A-H2B dimers with H2A.Z-H2B, leading to incorporation of H2A.Z into chromatin at gene regulatory elements. NuA4/TIP60 is unique in merging two enzymatic activities targeting H2A.Z. Both NuA4/TIP60-dependent H2A.Z acetylation and remodeling have been linked to several physiological functions and pathologies, but studies have only focused on either one or the other enzymatic activity, and insights on functional coordination between them are lacking. Here, we leverage our EP400 rapid depletion system to explore and untangle the intricate links between H2A.Z acetylation by Tip60 (the HAT subunit) and loading on chromatin by EP400 (the remodeling subunit) through functional genomic and biochemical analyses. Our data support a mechanism in which H2A.Z is first pre-acetylated to allow for H2A.Zac-H2B dimer association with the complex before incorporation into chromatin, particularly at gene promoters to positively regulate transcription. As both H2A.Z-targeted enzymatic functions of NuA4/TIP60 have been linked to disease, albeit separately, our findings hold important implications for therapeutic intervention, where combinatorial targeting is a promising avenue.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".