Interaction of p14<sup>ARF</sup> with Brca1 in cancer cell lines and primary breast cancer
Bibliographic record
Abstract
We report an association between p14ARF and Brca1 in which both proteins co-immunoprecipitate (co-IP) in DU145 cells. The N-terminal 64 residues of p14ARF encoded by exon 1beta are sufficient for this association. Inside the cell, ectopic p14ARF co-localizes with ectopic and endogenous Brca1 in A375 cells. Endogenous p14ARF co-localizes with endogenous Brca1 in DU145 cells but not in H1299 cells. Since p14ARF interacts with B23 in the nucleolus, Brca1 co-localizes with B23 in DU145 but not in H1299 cells. While ectopic ARF potently inhibited DU145 cell proliferation, it had no effect on the proliferation of H1299 cells, suggesting that the interaction between ARF and Brca1 contributes to ARF-mediated tumor suppression. Consistent with this notion, ectopic p14ARF modulates endogenous Brca1 expression in MCF7 breast cancer cells and p14ARF co-localizes with Brca1 in normal breast epithelial cells. This co-localization is enhanced in primary breast cancer. Taken together, the results show that p14ARF associates with Brca1, which may play a major role in tumor suppression.
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 | 0.001 |
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".