p14ARF interacts with DAXX: Effects on HDM2 and p53
Bibliographic record
Abstract
The p14(ARF) (ARF) tumour suppressor plays an important role in the cellular response to oncogene activation. In this report, we demonstrate an interaction between ARF and DAXX, a highly conserved protein with identified roles in the regulation of gene expression. HDM2 was shown to interact with each of ARF and DAXX upon upregulation of expression as well as at lower expression levels following transfection of ARF and DAXX. Through immunofluorescence analysis, we observed that endogenous ARF and DAXX colocalize both to nucleoli and to nuclear bodies in cell lines that co-express both proteins. Similar results were obtained upon co-transfection of ARF and DAXX. Co-expression of ARF and DAXX was further found to inhibit ARF-mediated HDM2 sumoylation and to induce sumoylation and ubiquitination of DAXX itself, implicating DAXX as a substrate of ARF-mediated post-translational events. We also observed induction of p53 sumoylation in the presence of ARF and DAXX, an effect that was inhibited by upregulation of HDM2 expression. In summary, we have identified DAXX as a novel ARF binding partner and substrate of ARF-mediated sumoylation and suggest that DAXX acts as a modifier of both p53-dependent and p53-independent ARF function.
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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".