Activated Ras/MEK Inhibits the Antiviral Response of Alpha Interferon by Reducing STAT2 Levels
Bibliographic record
Abstract
The ability of interferon (IFN) to induce the expression of antiviral genes, and therefore suppress viral infection, is dependent on the activity of cellular suppressors. The Ras/MEK pathway is one of these cellular suppressors, since the activation of Ras/MEK permits viral replication in the presence of alpha IFN (IFN-alpha). Here, we have investigated the mechanism by which activated Ras/MEK inhibits the IFN-alpha response. We found that the induction of antiviral proteins in response to IFN-alpha was impaired in Ras-transformed NIH 3T3 (RasV12) cells. The inhibition of the Ras/MEK pathway restored the IFN-mediated induction of antiviral genes, indicating that activated Ras interrupts the IFN pathway upstream of antiviral gene transcription. Indeed, the IFN-induced phosphorylation of signal transducer and activator of transcription 1 (STAT1) and STAT2 was inhibited in RasV12 cells compared to that of vector control cells. In addition, we found that the total amount of STAT2 was reduced in RasV12 cells. To determine if the impaired IFN-alpha response can be rescued by restoring the overall level of STAT2, we overexpressed STAT2 in RasV12 cells. The IFN-alpha-induced phosphorylation of STAT1 and STAT2, as well as the expression of antiviral protein, were restored, and IFN-induced antiviral protection was partially restored. Moreover, we demonstrated that the downregulation of STAT2 levels by Ras/MEK was mediated at the transcriptional level. Thus, the activation of the Ras/MEK pathway reduces the amount of STAT2 available for propagating the IFN signal, resulting in the impairment of the IFN-alpha-induced antiviral response.
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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 | 0.001 | 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 | 0.001 |
| 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".