MAP kinase‐activated protein kinases 2 and 3 are required for influenza A virus propagation and act <i>via</i> inhibition of PKR
Bibliographic record
Abstract
ABSTRACT Influenza viruses have to overcome the type I interferon induced antiviral response to successfully propagate in target cells. A major antiviral factor induced by interferons is the protein kinase R (PKR) that is further activated by dsRNA and phosphorylates the eukaryotic initiation factor 2 (eIF2α). This results in inhibition of protein translation thereby limiting viral replication. Here we describe a novel mechanism by which influenza A viruses escape the antiviral action of PKR. We demonstrate that the mitogen‐activated protein kinase‐activated protein kinases (MAPKAPKs) MK2 and MK3 are activated on virus infection and, in their active form, directly interact with the repressor of the inhibitor of PKR p88 rIPK . This leads to recruitment of a tetrameric protein complex consisting of p88 rIPK , the inhibitor of PKR p58 IPK and PKR itself, and finally results in inhibition of the kinase. The importance of MKs for influenza virus propagation was further underscored by demonstrating reduced viral progeny in cells genetically deficient in MK2 or MK3 genes as well as in highly proliferating tumor cells, in which expression of MKs was diminished by specific small interfering RNA. Accordingly, knockdown of MKs resulted in enhanced phosphorylation of PKR and its substrate eIF2α.—Luig, C., Köther, K., Dudek, S. E., Gaestel, M., Hiscott, J., Wixler, V., Ludwig, S. MAP kinase‐activated protein kinases 2 and 3 are required for influenza A virus propagation and act via inhibition of PKR. FASEB J. 24, 4068–4077 (2010). www.fasebj.org
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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 | 0.001 |
| 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".