EG-16 * ABERRANT Myst4/Brpf1 SIGNALING MISDIRECTS REGIONAL NEUROGENESIS PROGRAMS, SUSTAINING EXPRESSION OF SELF-RENEWAL GENES IN PEDIATRIC BRAIN CANCERS
Bibliographic record
Abstract
The Myst family of acetyltransferase proteins has been shown to play important role in development and self-renewal, primarily through lysine acetylation on Histones H3 and H4. In neural development, Myst4 (Morf/KAT6B) has been found to be critical for self-renewal and for neuron generation in the developing nervous system and during adult neurogenesis. This chromatin modifier exists in a complex with Myst3 (Moz/KAT6A), the bromodomain factor Brpf1, which acts as a protein scaffold, targeting histone acetyltransferases to chromatin, as well as Inhibitor of Growth 5 (ING5) and Esa1-associated factor 6 (EAF6). Our laboratories have found alteration of these elements in pediatric brain cancers, suggesting a pathological role in abnormal neural progenitor growth. Exon-specific microarrays, DNA methylation studies and functional perturbation were performed to study the impact on tumor behavior. RNA interference in tumors and neural progenitors led to loss of H3K4acetylation in target genes and altered expression, including Spondin-1. Conversely, exogenous over-expression of targeting factors, such as Brpf1, enhanced expression of target genes, assessed by quantitative PCR analysis. Furthermore, expression of Myst3/4 and Brpf1 positively correlated with tumor malignancy markers in large patient cohorts, including Ki67, PCNA, and MELK, and with decreased overall survival. Assessment of direct functional relationships with tumor markers using ChIP-Seq approaches is currently being pursued to investigate direct Myst3/4/Brpf1-mediated promoter activity at known and novel target genes. These studies aim to elucidate the role of an important epigenetic mechanism in neurogenesis, the alteration of which may underlie global chromatin changes that contribute to tumor growth or initiation. Sustained progenitor growth may be suppressed by targeted therapies that disrupt these factors.
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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 | 0.000 |
| 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".