Ubiquitination and proteasome degradation of the E6 proteins of human papillomavirus types 11 and 18
Bibliographic record
Abstract
Human papillomaviruses (HPVs) are aetiological agents for genital warts and cervical cancer, the different pathologies of which are dependent on the type of HPV infection. Oncogenic HPV types associated with cancer are carcinogens by virtue of their oncogene products, which target key regulators of cell proliferation and apoptosis. The viral E6 protein from oncogenic HPV types plays a central role in carcinogenesis by exploiting the cellular proteasome degradation pathway in order to mediate the degradation of cellular proteins, most notably the prototype tumour suppressor protein p53. Much less is known about the cellular targets of E6 from the non-oncogenic HPV types associated with genital warts. It is also unclear what factors influence the level and stability of the viral E6 proteins in cells. This report demonstrates that both oncogenic and non-oncogenic HPV E6 proteins (from types 18 and 11, respectively) are ubiquitinated and targeted for degradation by the 26S proteasome. E6 domains required for the induction of p53 or DLG degradation, or E6AP binding, are not involved in proteasome-mediated degradation of HPV-18 E6. These results provide insight into the cellular modulation of E6 protein levels from both high-risk and low-risk HPV types.
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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) | 0.001 | 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".