Regulation of interferon regulatory factor 1[IRF1] antiviral functions by its ubiquitination
Bibliographic record
Abstract
Interferon regulatory factor 1 (IRF1) is a transcriptional factor that regulates the expression of antiviral genes. IRF1 expression is downregulated in cancer cells, which supports efficient replication of oncolytic viruses. Posttranslational modifications are one of the major cellular mechanisms that regulate IRF1 expression and functions. To understand roles of IRF1 ubiquitination on innate antiviral immunity, we determined the antiviral activity of IRF1 ubiquitin resistant mutants. IRF1 ubiquitin resistant mutants (78K, 275K, and 299K) were generated and transfected into DLD-1, DU145 or MDA-MB-468 cells. The cells were then challenged with vesicular stomatitis virus (VSV) at MOI 1. Virus infection was evaluated by Western blotting against vesicular stomatitis virus glycoprotein (VSV-G), and progeny virus production. The 275K or 299K mutants showed higher antiviral activity when compared to wild type IRF1. Conversely, cells transfected with the 78K mutant were more susceptible to VSV infection than those transfected with wild type IRF1. In conclusion, 78K, 275K, and 299K sites are IRF1 ubiquitination sites which regulate IRF1 antiviral functions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".