Reciprocal skeletal phenotypes of PRC2-related overgrowth and Rubinstein–Taybi syndromes: potential role of H3K27 modifications
Bibliographic record
Abstract
Within histone H3, lysine 27 (H3K27) is one of the residues that functions as a molecular switch, by virtue of being subject to mutually exclusive post-translational modifications that have reciprocal effects on gene expression. Whereas acetylation of H3K27 is associated with transcriptional activation, methylation at this residue causes transcriptional silencing; these two modifications are mutually exclusive. Establishment of these epigenetic marks is important in defining cellular identity and for maintaining normal cell function, as evidenced by rare genetic disorders of epigenetic writers involved in H3K27 post-translational modification. Polycomb repressive complex (PRC2)-related overgrowth and Rubinstein-Taybi syndrome (RSTS) are respectively associated with impaired H3K27 methylation and acetylation. Whereas these syndromes share commonalities like intellectual disability and susceptibility to cancers, they are generally divergent in their skeletal growth phenotypes, potentially through dysregulation of their opposing H3K27 writer functions. In this review, we discuss the requirement of H3K27 modifications for successful embryogenesis, highlighting data from relevant mouse knockout studies. Although such gene ablation studies are integral for defining fundamental biological roles of methyl- and acetyltransferase function in vivo, studies of partial loss-of-function models are likely to yield more meaningful translational insight into progression of PRC2-related overgrowth or RSTS. Thus, modeling of rare human PRC2-related overgrowth and RSTS variants in mice is needed to fully understand the causative role of aberrant H3K27 modification in the pathophysiology of these syndromes.
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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) | 0.001 | 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 | 0.000 |
| 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".