SUZ12–Nucleic Acid Interactions Constrain PRC2 Activity to Maintain Targeted Gene Silencing Essential to Diffuse Midline Glioma
Bibliographic record
Abstract
Abstract Polycomb Repressive Complex 2 (PRC2) mediates transcriptional silencing through trimethylation of histone H3 at lysine 27 (H3K27me3), an epigenetic modification critical for development and frequently altered in cancer. Pediatric diffuse midline gliomas (DMGs) bearing the histone H3 K27M mutation exhibit global loss of H3K27me3 due to dominant inhibition of PRC2 by the mutant histone. Despite widespread hypomethylation, focal retention of H3K27me3 persists, and tumor cells maintain dependency on residual PRC2 activity for proliferation. The molecular basis underlying this residual enzymatic function and its regulation remain poorly defined. To address this mechanism, we investigated the role of SUZ12, the architectural core of PRC2 that facilitates interactions with accessory subunits. We identified the SUZ12 N-terminal region as a regulatory domain that constrains PRC2 catalytic activity through transient interactions with nucleic acids, thereby limiting non-specific chromatin engagement. Expression of a truncated SUZ12 variant retaining the catalytic VEFS domain, but lacking the nucleic acid-binding regulatory elements, led to widespread H3K27 hypermethylation, displacement of canonical PRC1 complexes, disruption of chromatin architecture, and impaired H3 K27M glioma cell growth in vitro and in vivo . Biochemical analyses revealed a SUZ12 N-terminal domain that modulates PRC2 activity by promoting non-productive binding to nucleic acids, thus establishing a kinetic equilibrium essential for precise chromatin targeting. These findings redefine Polycomb specificity as a dynamic equilibrium between productive nucleosomal engagement and non-productive nucleic acid interactions, providing critical insights into PRC2 regulation and highlighting potential therapeutic vulnerabilities in PRC2-dependent cancers.
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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) | 0.001 | 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".