HTLV-3 and HTLV-4 antisense proteins enhance the transactivation potential of several Jun family members through interaction via their bZIP-like domain
Bibliographic record
Abstract
HTLV-3 and HTLV-4 are two recently identified viruses closely related to HTLV-1, which have not yet been linked to any diseases. Similarly to HTLV-1 and HTLV-2, which both express antisense transcript-derived HBZ and APH-2, respectively, HTLV-3 and HTLV-4 harbor antisense genes termed APH-3 and APH-4. These two encoded proteins contain an atypical bZIP domain but are still able to down-regulate Tax-mediated LTR activation, alike HBZ and APH-2. Since HBZ and APH-2 affect Jun-dependent transcription differently, our goal was to assess the impact of APH-3 and APH-4 on the transactivation potential of Jun family members. Co-IP experiments first showed that both APH-3 and APH-4 interacted with all tested Jun members. Jun/APH complexes significantly enhanced Jun-dependent transactivation of the human collagenase promoter containing a single AP-1 binding site as well as a construct bearing a minimal promoter and AP-1-binding sites. APH-3 and APH-4 deletion mutants and point mutations of specific leucine residues demonstrated that this functional interaction was mediated by the bZIP-like domain. Using a construct with a minimal promoter bearing GAL4-binding sites and APH-3/APH-4 expression vectors fused to the GAL4 DNA binding domain, we further showed that, in contrast to HBZ, APH-3 and APH-4 did not contain an activation domain. These results highlight the varying capacity of different HTLV-encoded antisense proteins to act upon transactivation mediated by Jun transcription factors. Taking into account the previously reported association between HBZ and ATL development, determining the functional differences of these HTLV antisense proteins could contribute in better understanding this association.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".