SS18::SSX redistributes BAF chromatin remodelers selectively to activate and repress transcription
Bibliographic record
Abstract
SUMMARY Synovial sarcoma (SyS) is driven by the expression of a chromosomal translocation-generated SS18::SSX fusion oncoprotein 1,2 . This oncoprotein fuses the SSX carboxy terminal tail that binds ubiquitylated histone H2A (H2AK119ub) 3–6 to the SS18 component of both canonical (CBAF) and non-canonical (GBAF, GLTSCR1-containing) BAF-family chromatin remodeling complexes 7–11 , wherein SS18::SSX reprograms the epigenetic landscape. Mice that express SS18::SSX develop tumors that faithfully recapitulate human SyS histopathologically and molecularly 12–14 , allowing dissection of transcriptional reprogramming in vivo 15,16 . Here, we show that SS18::SSX redistributes GBAF complexes broadly to promoters and distal enhancers decorated by H2AK119ub, which uncharacteristically lack the transcription-silencing trimethylation of H3K27 that otherwise accompanies H2AK119ub. Fusion-GBAF instead associates with H2AK119ub and transcription-enabling H3K4 trimethylation (promoters), monomethylation (distal enhancers), and H3K27 acetylation (both). CBAF with the fusion redistributes away from typical loci, avoids H2AK119ub-bearing regions, and instead narrowly flanks transcription start sites (TSSs), co-distributed with polybromo BAF (PBAF). Accelerated tumorigenesis in our SyS mouse model followed deletion of Smarcb1 (PBAF and CBAF), Pbrm1 (PBAF-specific), and Arid1a or Arid1b (CBAF-specific). While tumors lacking Arid1a or Arid1b retained SyS character, loss of Smarcb1 or Pbrm1 resulted in tumors lacking SyS features. These findings suggest that SyS transcriptional reprogramming includes both improper GBAF localization and gene activation at H2AK119ub-bearing regulatory regions and improper gene silencing through loss of CBAF.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".