PRDM14 promotes RAG-dependent <i>Notch1</i> driver mutations in mouse T-ALL
Bibliographic record
Abstract
PRDM14 is an epigenetic regulator known for maintaining embryonic stem cell identity and resetting potency in primordial germ cells. However, hematopoietic expression of Prdm14 at supraphysiological levels results in fully penetrant and rapid-onset T-cell acute lymphoblastic leukemia (T-ALL) in the mouse. Here, we show that PRDM14-induced T-ALLs are driven by NOTCH1, a frequently mutated driver of human T-ALL. Notch1 is activated in this murine model via RAG-dependent promoter deletions and subsequent production of truncated, ligand-independent protein from downstream regions of the Notch1 locus. These T-ALLs also have focal changes in H3K4me3 deposition at the Notch1 locus and global increases in both H3K4me1 and H3K4me3. Using a PRDM14-FLAG mouse model, we show that PRDM14 binds within an intron of Notch1 prior to leukemia development. Our data support the idea that PRDM14 binding promotes a chromatin state that allows access of the RAG recombinase complex to cryptic RAG signal sequences embedded at the Notch1 locus. Indeed, breeding into a RAG recombination-deficient background abrogates T-ALL development and prevents Notch1 deletions, while allowing for transient hematopoietic stem cell (HSC)-like pre-leukemia cell expansion. Together, our data suggest that PRDM14 expands a progenitor cell population while promoting a permissive epigenetic state for the creation of driver mutations (here, in Notch1), enabling cancer development through the misappropriation of endogenous cellular DNA recombination machinery.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".