Influenza A Infection of Primary Human Airway Epithelial Cells Up-Regulates Proteins Related to Purine Metabolism and Ubiquitin-Related Signaling
Bibliographic record
Abstract
Virus-host interactions are important determinants of virus replication and immune responses, but they are not well-defined. In this study we analyzed quantitative host protein alterations in nuclei-enriched fractions from multiple primary human bronchial airway epithelial (HBAE) cells infected by an H1N1 influenza A virus (A/PR/8/34). We first developed an effective detergent-free nuclear lysis method that was coupled with in-solution digestion and LC-MS/MS. Using SILAC, we identified 837 HBAE nuclear proteins in three different donors and compared their responses to infection at 24 h. Some proteins were altered in all three donors, of which 94 were up-regulated and 13 were down-regulated by at least 1.5-fold. Many of these up-regulated proteins clustered into purine biosynthesis, carbohydrate metabolism, and protein modification. Down-regulated proteins were not associated with any specific pathways or processes. These findings further our understanding of cellular processes that are altered in response to influenza in primary epithelial cells and may be beneficial in the search for host proteins that may be targeted for antiviral therapy.
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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) | 0.001 | 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 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".