Macropinocytosis inhibitors and Arf6 regulate ErbB3 nuclear localization in prostate cancer cells
Bibliographic record
Abstract
ErbB3 is a transmembrane tyrosine kinase receptor among the epidermal growth factor receptor (EGFR) family that plays an important role in prostate cancer (PCa) progression. We previously demonstrated that ErbB3 is located in the nucleus of PCa cell lines and PCa tissues. It also was observed that ErbB3 nuclear localization could discriminate between benign and malignant prostate tissues as well as between hormone sensitive and hormone-refractory PCa. Several studies have suggested a role for clathrin-mediated endosomal sorting in the nuclear localization of EGFR and ErbB2 but the mechanisms by which ErbB receptors escape recycling or degradation are not well known. Consequently to determine the role of endocytosis in the nuclear localization of ErbB3, different endocytotic inhibitors and specific si-RNAs were used to discriminate between clathrin-dependent and clathrin-independent pathways. We found that clathrin, caveolin, and membrane domains are not required for endocytosis-mediated nuclear localization of ErbB3 in PCa cells and we provide evidence that amiloride, a macropinocytosis inhibitor, and the ADP-ribosylation factor 6 (Arf6) are implicated in the compartimentalization of ErbB3. In conclusion, evidence for an endocytosis-based mechanism in the nuclear localization of ErbB3 in PCa cells is proposed. These results may help elucidate new therapeutic avenues in PCa that target nuclear ErbB3, which may participate in the progression and aggressivity of the disease.
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".