TEL-JAK2 Mediates Constitutive Activation of the Phosphatidylinositol 3′-Kinase/Protein Kinase B Signaling Pathway
Bibliographic record
Abstract
A subset of chromosomal translocations that participate in leukemia involve activated tyrosine kinases. The ets transcription factor, TEL, undergoes translocations with several distinct tyrosine kinases including JAK2. TEL-JAK2 transforms cell lines to factor independence, and constitutive tyrosine kinase activity results in the phosphorylation of several substrates including STAT1, STAT3, and STAT5. In this study we have shown that TEL-JAK2 can constitutively activate the phosphatidylinositol 3'-kinase (PI 3'-kinase) signaling pathway. The regulatory subunit of PI 3'-kinase, p85, associates with TEL-JAK2 in immunoprecipitations, and this was shown to be mediated by the amino-terminal SH2 domain of p85 but independent of a putative p85-binding motif within TEL-JAK2. The scaffolding protein Gab2 can also mediate the association of p85. TEL-JAK2 constitutively phosphorylates the downstream substrate protein kinase B/AKT. Importantly, the pharmacologic PI 3'-kinase inhibitor, LY294002, blocked TEL-JAK2 factor-independent growth and phosphorylation of protein kinase B. However, LY294002 did not alter STAT5 tyrosine phosphorylation, indicating that STAT5 and protein kinase B activation mediated by TEL-JAK2 are independent signaling pathways. Therefore, activation of the PI 3'-kinase signaling pathway is an important event mediated by TEL-JAK2 chromosomal translocations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.000 | 0.000 |
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 teacher head, 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".