Ezh2 Is An Essential Regulator Of T-Cell Development and Oncogenic Transformation
Bibliographic record
Abstract
Abstract Enhancer of zeste homolog 2 (EZH2) catalyzes di- and trimethylation of lysine 27 on histone H3 (H3K27me2/3) and establishes chromatin marks associated with gene silencing. We and others have recently shown that Ezh2 and its partners act as tumour suppressor genes in mouse and likely human lymphoblastic leukemia. Moreover some studies also suggest that Ezh2 is strongly required during B and T cell differentiation. However, the function of EZH2 during these processes remains unclear. For functional study we exploited an Ezh2 conditional knockout mouse model. The Cre-mediated deletion generates a mutated Ezh2Δ allele and abrogates production of EZH2 protein. Upon gene inactivation we monitored T-cell maturation and cancer development. We found that Ezh2 inactivation induces a block at the DN3-DN4 transition of TCRab+T-cells while TCRγδ T-cells were increased by 5 fold compared to wild type animals. Cell cycle analysis revealed increase in the proportions of TCRγδ+T-cells in the G2 phase compared to TCRβ+T-cells and wild type controls. This observation suggested a possibility of G2/M checkpoint activation resulting from either improper DNA replication, or a non-repaired DNA damage. Moreover we found that the Ezh2 deficient TCRγδ+ leukemia were prone to genomic instability. A majority of leukemias analyzed were aneuploid, and ∼50% were near-tetraploid. These observations were confirmed by Spectral Karyotyping (SKY), which also enabled detection of several chromosomal rearrangements. Consistent with these observations, analysis of global gene expression data from various RNA-Seq-derived datasets revealed that the genes having the highest correlation factor with Ezh2 are involved in cell division, DNA replication and DNA damage repair. Together, these studies show that Ezh2 is an essential regulator of the TCRγδ T-cell state, and prevents T-cell transformation, likely through regulation of DNA replication, cell division or DNA damage repair. Disclosures: No relevant conflicts of interest to declare.
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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) | 0.002 | 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".