Identification of topoisomerase as a precision-medicine target in chromatin reader SP140-driven Crohn’s disease
Bibliographic record
Abstract
Summary How mis-regulated chromatin directly impacts human immunological disease is poorly understood. Speckled Protein 140 (SP140) is an immune-restricted PHD and bromodomain-containing chromatin ‘reader’ whose loss-of-function associates with Crohn’s disease (CD), multiple sclerosis (MS) and chronic lymphocytic leukemia (CLL). However, mechanisms underlying SP140-driven pathogenicity and therapeutic approaches that rescue SP140 remain unexplored. Using a global proteomic strategy, we identified SP140 as a repressor of topoisomerases (TOP) that maintains heterochromatin and immune cell fate. In humans and mice, SP140 loss resulted in unleashed TOP activity, genome instability, severely compromised lineage-defining and microbe-inducible innate transcriptional programs and defective bacterial killing. Pharmacological inhibition of TOP1 or TOP2 rescued these defects. Furthermore, exacerbated colitis was restored with TOP1 or TOP2 inhibitors in Sp140 −/− mice, but not wild-type mice, in vivo. Collectively, we identify SP140 as a repressor of topoisomerases and reveal repurposing of TOP inhibition as a precision strategy for reversing SP140-driven immune disease.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".