FYCO1 regulates migration, invasion, and invadopodia formation in HeLa cells through CDC42/N-WASP/Arp2/3 signaling pathway
Bibliographic record
Abstract
FYCO1, an autophagy adaptor, plays an essential role in the trafficking toward the plus-end of microtubules and the fusion of autophagosomes. Autophagic dysfunction is involved in numerous disease states, including cancers. Previous studies have implicated FYCO1 as one of the critical genes involved in the adenoma to carcinoma transition, but the biological function and mechanism of FYCO1 in carcinogenesis remain unclear. This study aims to elucidate the role and mechanism of up- and downregulation of FYCO1 in mediating tumor effects in HeLa cells. Functionally, FYCO1 promotes cellular migration, invasion, epithelial-mesenchymal transition, invadopodia formation, and matrix degradation, which are detected through wound healing, transwell, immunofluorescence, and Western blot approaches. Interestingly, the data show that although FYCO1 does not affect HeLa cell proliferation, cell cycle distribution, nor vessels' formation, FYCO1 can block the apoptotic function. FYCO1 inhibits cleavage of PARP, caspase3, and caspase9 and increases Bcl-2/Bax ratio. Then, we used CK666, an Arp2/3 specific inhibitor, to confirm that FYCO1 may promote the migration and invasion of HeLa cells through the CDC42/N-WASP/Arp2/3 signaling pathway. Taken together, these results provide a new insight that FYCO1, an autophagy adaptor, may also be a new regulator of tumor metastasis.
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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".