Antiviral roles of interferon regulatory factor (IRF)-1, 3 and 7 against human coronavirus infection
Bibliographic record
Abstract
Abstract Interferon regulatory factors (IRFs) are key elements of antiviral innate responses that regulate transcription of interferons (IFNs) and IFN-stimulated genes (ISGs). As many human coronaviruses are known to be sensitive to IFN, antiviral roles of IRFs are yet to be fully understood. TypeI or II IFN treatment protected MRC5 cells from infection of human coronavirus 229E, but not human coronavirus OC43. Infection of 229E or OC43 efficiently upregulated ISGs, indicating that antiviral transcription is not suppressed during their infection. Antiviral IRFs, IRF1, IRF3 and IRF7, were activated in cells infected with 229E, OC43 or severe acute respiratory syndrome-associated coronavirus 2 (SARS-CoV-2). RNAi knockdown and overexpression of the IRFs demonstrated that IRF1 and IRF3 have antiviral property against OC43 while only IRF3 and IRF7 are effective to restrict 229E infection. Our study demonstrates that IRF3 plays critical roles against infection of human coronavirus 229E and OC43, which may be an anti-human coronavirus therapeutic target.
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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) | 0.003 | 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".