Inhibition of Transcription of the Beta Interferon Gene by the Human Herpesvirus 6 Immediate-Early 1 Protein
Bibliographic record
Abstract
Human herpesviruses (HHV) are stealth pathogens possessing several decoy or immune system evasion mechanisms favoring their persistence within the infected host. Of these viruses, HHV-6 is among the most successful human parasites, establishing lifelong infections in nearly 100% of individuals around the world. To better understand this host-pathogen relationship, we determined whether HHV-6 could interfere with the development of the innate antiviral response by affecting interferon (IFN) biosynthesis. Using inducible cell lines and transient transfection assays, we have identified the immediate-early 1 (IE1) protein as a potent inhibitor of IFN-beta gene expression. IE1 proteins from both HHV-6 variants were capable of suppressing IFN-beta gene induction. IE1 prevents IFN-beta gene expression triggered by Sendai virus infection, double-stranded RNA (dsRNA) and dsDNA transfection, or the ectopic expression of IFN-beta gene activators such as retinoic inducible gene I protein, mitochondrial antiviral signaling protein, TBK-1, IkappaB kinase epsilon (IKKepsilon), and IFN regulatory factor 3 (IRF3). While the stability of IFN-beta mRNA is not affected, IE1-expressing cells have reduced levels of dimerized IRF3 and nucleus-translocated IRF3 in response to activation by TBK-1 or IKKepsilon. Using nuclear extracts and gel shift experiments, we could demonstrate that in the presence of IE1, IRF3 does not bind efficiently to the IFN-beta promoter sequence. Overall, these results indicate that the IE1 protein of HHV-6, one of the first viral proteins synthesized upon viral entry, is a potent suppressor of IFN-beta gene induction and likely contributes to favor the establishment of and successful infection of cells with this virus.
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) | 0.001 | 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".