Unraveling Site-Specific and Combinatorial Histone Modifications Using High-Resolution Mass Spectrometry in Histone Deacetylase Mutants of Fission Yeast
Bibliographic record
Abstract
Histone deacetylases (HDACs) catalyze the removal of acetylation marks from lysine residues on histone and nonhistone substrates. Their activity is generally associated with essential cellular processes such as transcriptional repression and heterochromatin formation. Interestingly, abnormal activity of HDACs has been reported in various types of cancers, which makes them a promising therapeutic target for cancer treatment. In the current study, we aim to understand the mechanisms underlying the function of HDACs using an in-depth quantitative analysis of changes in histone acetylation levels in Schizosaccharomyces pombe (S. pombe) lacking major HDAC activities. We employed a targeted quantitative mass spectrometry approach to profile changes of acetylation and methylation at multiple lysine residues on the N-terminal tail of histones H3 and H4. Our analyses identified a number of histone acetylation sites that are significantly affected by S. pombe HDAC mutations. We discovered that mutation of the Class I HDAC known as Clr6 causes a major increase in the abundance of triacetylated H4 molecules at K5, K8, and K12. A clr6-1 hypomorphic mutation also increased the abundance of multiple acetyl-lysines in histone H3. In addition, our study uncovered a few crosstalks between histone acetylation and methylation upon deletion of HDACs Hos2 and Clr3. We anticipate that the results from this study will greatly improve our current understanding of the mechanisms involved in HDAC-mediated gene regulation and heterochromatin assembly.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".