Identification of genes functionally involved in the detrimental effects of mutant histone H3.3-K27M in Drosophila melanogaster
Bibliographic record
Abstract
BACKGROUND: Recurrent specific mutations in evolutionarily conserved histone 3 (H3) variants drive pediatric high-grade gliomas (HGGs), but little is known about their downstream effects. The aim of this study was to identify genes involved in the detrimental effects of mutant H3.3-K27M, the main genetic driver in lethal midline HGG, in a transgenic Drosophila model. METHODS: Mutant and wild-type histone H3.3-expressing flies were generated using a φC31-based integration system. Genetic modifier screens were performed by crossing H3.3-K27M expressing driver strains and 194 fly lines expressing short hairpin RNA targeting genes selected based on their potential role in the detrimental effects of mutant H3. Expression of the human orthologues of genes with functional relevance in the fly model was validated in H3-K27M mutant HGG. RESULTS: Ubiquitous and midline glia-specific expression of H3.3-K27M but not wild-type H3.3 caused pupal lethality, morphological alterations, and decreased H3K27me3. Knockdown of 17 candidate genes shifted the lethal phenotype to later stages of development. These included histone modifying and chromatin remodeling genes as well as genes regulating cell differentiation and proliferation. Notably, several of these genes were overexpressed in mutant H3-K27M mutated HGG. CONCLUSIONS: Rapid screening, identification, and validation of relevant targets in "oncohistone" mediated pathogenesis have proven a challenge and a barrier to providing novel therapies. Our results provide further evidence on the role of chromatin modifiers in the genesis of H3.3-K27M. Notably, they validate Drosophila as a model system for rapid identification of relevant genes functionally involved in the detrimental effects of H3.3-K27M mutagenesis.
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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 | 0.000 | 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 | 0.000 |
| 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".