Arginine Methylation of the Histone H3 Tail Impedes Effector Binding
Bibliographic record
Abstract
Histone tail post-translational modification results in changes in cellular processes, either by generating or blocking docking sites for histone code readers or by altering the higher order chromatin structure. H3K4me3 is known to mark the promoter regions of active transcription. Proteins bind H3K4 in a methyl-dependent manner and aid in the recruitment of histone-remodeling enzymes and transcriptional cofactors. The H3K4me3 binders harbor methyl-specific chromatin binding domains, including plant homeodomain, Chromo, and tudor domains. Structural analysis of the plant homeodomains present in effector proteins, as well as the WD40 repeats of WDR5, reveals critical contacts between residues in these domains and H3R2. The intimate contact between H3R2 and these domain types leads to the hypothesis that methylation of this arginine residue antagonizes the binding of effector proteins to the N-terminal tail of H3. Here we show that H3 tail binding effector proteins are indeed sensitive to H3R2 methylation and that PRMT6, not CARM1/PRMT4, is the primary methyltransferase acting on this site. We have tested the expression of a select group of H3K4 effector-regulated genes in PRMT6 knockdown cells and found that their levels are altered. Thus, PRMT6 methylates H3R2 and is a negative regulator of N-terminal H3 tail binding.
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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".