Role of the Akt pathway in mRNA translation of interferon-stimulated genes
Bibliographic record
Abstract
Multiple signaling pathways are engaged by the type I and II IFN receptors, but their specific roles and possible coordination in the generation of IFN-mediated biological responses remain unknown. We provide evidence that activation of Akt kinases is required for IFN-inducible engagement of the mTOR/p70 S6 kinase pathway. Our data establish that Akt activity is essential for up-regulation of key IFN-alpha- and IFN-gamma-inducible proteins, which have important functional consequences in the induction of IFN responses. Such effects of the Akt pathway are unrelated to regulatory activities on IFN-dependent STAT phosphorylation/activation or transcriptional regulation. By contrast, they reflect regulatory activities on mRNA translation via direct control of the mTOR pathway. In studies using Akt1 and Akt2 double knockout cells, we found that the absence of Akt kinases results in dramatic reduction in IFN-induced antiviral responses, establishing a critical role of the Akt pathway in IFN signaling. Thus, activation of the Akt pathway by the IFN receptors complements the function of IFN-activated JAK-STAT pathways, by allowing mRNA translation of IFN-stimulated genes and, ultimately, the induction of the biological effects of IFNs.
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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".