Loss of VHL Confers Hypoxia-Inducible Factor (HIF)-Dependent Resistance to Vesicular Stomatitis Virus: Role of HIF in Antiviral Response
Bibliographic record
Abstract
Hypoxia-inducible factor (HIF) is a central regulator of cellular responses to hypoxia, and under normal oxygen tension the catalytic alpha subunit of HIF is targeted for ubiquitin-mediated destruction via the VHL-containing E3 ubiquitin ligase complex. Principally known for its association with oncogenesis, HIF has been documented to have a role in the antibacterial response. Interferons, cytokines with antiviral functions, have been shown to upregulate the expression of HIF-1alpha, but the significance of HIF in the antiviral response has not been established. Here, using renal carcinoma cells devoid of VHL or reconstituted with functional wild-type VHL or VHL mutants with various abilities to negatively regulate HIF as an ideal model system of HIF activity, we show that elevated HIF activity confers dramatically enhanced resistance to vesicular stomatitis virus (VSV)-mediated cytotoxicity. Inhibition of HIF activity using a small-molecule inhibitor, chetomin, enhanced cellular sensitivity to VSV, while treatment with hypoxia mimetic CoCl2 promoted resistance. Similarly, targeting HIF-2alpha by RNA interference also enhanced susceptibility to VSV. Expression profiling studies show that upon VSV infection, the induction of genes with known antiviral activity, such as that encoding beta interferon (IFN-beta), is significantly enhanced by HIF. These results reveal a previously unrecognized role of HIF in the antiviral response by promoting the expression of the IFN-beta gene and other genes with antiviral activity upon viral infection.
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 | 0.001 |
| 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".