Stoichiometry of Rtt109 complexes with Vps75 and histones H3-H4
Bibliographic record
Abstract
Histone acetylation is one of many posttranslational modifications that affect nucleosome accessibility. Vps75 is a histone chaperone that stimulates Rtt109 acetyltransferase activity toward histones H3-H4 in yeast. In this study, we use sedimentation velocity and light scattering to characterize various Vps75-Rtt109 complexes, both with and without H3-H4. These complexes were previously ill-defined because of protein multivalency and oligomerization. We determine both relative and absolute stoichiometry and define the most pertinent and homogeneous complexes. We show that the Vps75 dimer contains two unequal binding sites for Rtt109, with the weaker binding site being dispensable for H3-H4 acetylation. We further show that the Vps75-Rtt109-(H3-H4) complex is in equilibrium between a 2:1:1 species and a 4:2:2 species. Using a dimerization mutant of H3, we show that this equilibrium is mediated by the four-helix bundle between the two copies of H3. We optimize the purity, yield, and homogeneity of Vps75-Rtt109 complexes and determine optimal conditions for solubility when H3-H4 is added. Our comprehensive biochemical and biophysical approach ultimately defines the large-scale preparation of Vps75-Rtt109-(H3-H4) complexes with precise stoichiometry. This is an essential prerequisite for ongoing high-resolution structural and functional analysis of this important multi-subunit complex.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".