Determining mechanisms of T cell leukemogenesis using E2A−/− mice
Bibliographic record
Abstract
Abstract T cell acute lymphoblastic leukemia (T-ALL) is a hematological malignancy caused by the transformation of T-lymphocytes during their development. 60% of pediatric T-ALLs have ectopic expression of Tal1, a gene that promotes leukemogenesis in part by altering the function of E2A. Consistent with this, mice with germline deletion of E2A develop T-ALL that mirrors human Tal1+ T-ALL. In this study, we used mice that delete E2A at different stages in T cell development to investigate the mechanisms causing T-ALL. Mice carrying a VavCre transgene and floxed alleles of E2A (VcKO) delete E2A early in T cell development, have reduced numbers of thymocytes prior to transformation, and develop T-ALL with an average latency of 18 weeks. Mice with an LckCre transgene (LcKO) delete E2A later than VcKO mice, have replete thymi, and rarely develop T-ALL. From this, we hypothesized that 1) E2A regulates a gene program in early T cell development that is antagonistic to transformation, or 2) Having a replete, competitive thymus suppresses transformation. Pre-leukemic VcKO thymocytes showed significantly more differentially expressed genes than LcKO thymocytes, including Notch1 and Myc, and are enriched for cancer associated pathways. To determine if the lack of competition in the VcKO thymus contributes to leukemogenesis, we reconstituted VcKO thymi by transplanting wild type bone marrow into sublethally irradiated VcKO mice. BM transplant significantly increased the number and frequency of DP thymocytes and increased leukemia latency. Together, these data suggest that intrinsic loss of E2A promotes leukemogenesis by changing the gene program of early developing thymocytes and by creating a non-competitive environment that supports transformation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".