Gene Expression Profiles in Murine Influenza Pneumonia
Bibliographic record
Abstract
BACKGROUND: Many in vitro studies have focused on gene expression in influenza-infected leukocytes, lung tissue or cell lines. However, knowledge of in vivo gene expression in these compartments is limited. METHODS: To obtain insight into gene expression profiles during influenza infection, we determined the expression of multiple genes by using a newly developed mouse-specific multiplex ligation-dependent probe amplification assay. RESULTS: The genes involved in inflammation, Toll-like receptor signaling, coagulation, fibrinolysis, cell adhesion, tissue repair and homeostasis were measured in lung tissue, leukocytes in bronchoalveolar lavage fluid and tracheal epithelial cells in mice, before and after intranasal infection with influenza A. Most of the genes investigated were differentially expressed during the course of infection and returned to baseline levels when mice had recovered from the infection. However, expression of several genes remained altered even though mice had completely cleared the virus. CONCLUSION: These data provide the first information on compartmentalized gene expression profiles in the respiratory tract during influenza.
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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 | 0.001 | 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".