Methyltransferase G9A Regulates Osteogenesis via <i>Twist</i> Gene Repression
Bibliographic record
Abstract
Here we investigate the role of epigenetic factors in controlling the timing of cranial neural crest cell differentiation. The gene coding for histone H3 lysine 9 methyltransferase G9A was conditionally deleted in neural crest cells with Wnt1-Cre. The majority of homozygous-null animals survived to birth but thereafter failed to thrive. Phenotypic analysis of postnatal animals revealed that the mutants displayed incomplete ossification and 20% shorter jaws as compared to their wild-type littermates. At E13.5, patterns of expression of the osteogenic transcription factor RUNX2 and the mesenchymal transcription factor TWIST are similar in controls and mutants; both overlap in areas of future intramembranous bone formation. At E14.5, the nonosteogenic mesenchyme expressed TWIST, whereas the ossification center had strong RUNX2 and osteopontin expression. In the mutants, TWIST protein was present in the osteogenic mesenchyme, while osteopontin was not expressed until E15.5. In addition, in mutants, small regions of TWIST-positive osteogenic mesenchyme were visible until E15.5. The delay in ossification and reduction in size of the ossification centers were correlated with an earlier decrease in proliferation. We used micromass cultures of the face to investigate the direct effects of G9A inhibition on skeletal differentiation. Addition of a small molecule inhibitor for G9A, BIX-01294, to wild-type cells upregulated Twist genes similar to what was observed in vivo. The inhibitor also caused decreases in several osteogenic markers. Chromatin immunoprecipitation analysis of primary osteogenic mesenchyme from calvaria revealed that Twist1 and Twist2 regulatory regions contain the repressive H3K9me2 marks catalyzed by G9A, which are removed when BIX-01294 is added. Our results establish a role for G9A and H3K9me2 in the regulation of Twist genes and provide novel insights into the significance of epigenetic mechanisms in controlling temporal and tissue-specific gene expression during development.
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".