Stat1 is an inhibitor of Ras-MAPK signaling and Rho small GTPase expression with implications in the transcriptional signature of Ras transformed cells
Bibliographic record
Abstract
The signal transducer and activator of transcription Stat1 plays an indispensable role in the regulation of innate immunity and tumor immuno-surveillance. The anti-tumor activity of Stat1 is largely dependent on its ability to function downstream of interferon (IFN) signaling. However, anti-tumor functions of Stat1 that are independent of IFN signaling have started to emerge. For example, we recently reported that the anti-tumor activity of Stat1 in Ras transformation is affected by Stat1 phosphorylation at tyrosine (Y) 701 and serine (S) 727, both of which determine p27(Kip1) expression and function (PLoS ONE 2008; 3:3476). Herein, we provide further evidence that these site-specific phosphorylation events of Stat1 regulate the inhibition of the Ras-MAPK pathway and expression of RhoA, Cdc42 and Rac1 GTPases in Ras transformed cells. Site-specific Stat1 phosphorylation also controls the transcriptional activities of Stat3 and Stat5 and is capable of orchestrating a complex regulatory network that influences the expression of genes involved in cell cycle control, cell-cell adhesion and signal transduction. These findings further substantiate the notion that Stat1 is as a master regulator of Ras-mediated transformation, a property that is intimately affected by its phosphorylation at Y701 and S727.
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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 | 0.000 |
| 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) | 0.000 | 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".