Mechanism of Influenza A Virus NS1 Protein Interaction with the p85β, but Not the p85α, Subunit of Phosphatidylinositol 3-Kinase (PI3K) and Up-regulation of PI3K Activity
Bibliographic record
Abstract
Influenza A virus infection activates the phosphatidylinositol 3-kinase (PI3K)/Akt pathway by binding influenza A virus NS1 protein to the p85beta regulatory subunit of PI3K. In this study, we report that NS1 binds to the inter-SH2 (iSH2) domain of p85beta. Mutational analyses on p85beta iSH2 domain defined that Val-573 is the critical amino acid (AA) that mediates NS1 and p85beta interaction. In reciprocal gain of function experiments with p85alpha, we demonstrated that mutation to Val at Met-582 leads to NS1 binding and increased PI3K activity. Molecular modeling based on our experimental results suggested that, in addition to the interaction interface between the NS1 SH3 binding motif 1 (AA 164-167) and p85beta Val-573, AA 137-142 in NS1 might interact with p85beta. Indeed, mutations of AA 141 and 142 in NS1 disrupted the interaction between NS1 and p85beta. Mutant virus PR8-NS1-141/142 was not able to activate Akt phosphorylation. Furthermore, PI3K assays demonstrated that, in wild-type virus-infected cells, p85beta-associated PI3K activity was increased significantly. In contrast, in the mutant virus-infected cells containing mutant NS1 unable to interact with p85beta, the p85beta-associated PI3K activity up-regulation was not seen, suggesting that PI3K up-regulation is dependent upon the interaction between NS1 and p85beta. Competition experiments and the immunoprecipitation studies demonstrated that NS1, p85beta, and p110 form a complex in cells. Finally, the mechanism by which binding of NS1 to p85beta regulates PI3K activity was discussed based on a predicted structural model of NS1-p85-p110 complex.
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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 | 0.001 |
| 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 | 0.001 |
| 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".