Adseverin modulates morphology and invasive function of MCF7 cells
Bibliographic record
Abstract
-dependent actin-capping and severing protein that is highly expressed in gastric, prostate and bladder cancer cells. Currently it is unknown whether Ads contributes to the subcortical actin remodeling associated with the formation of cell extensions and matrix invasion in cancer. We compared cell extension formation and matrix degradation in Ads wildtype and Ads-null MCF7 breast cancer cells generated by CRISPR/Cas9. Compared with wildtype, Ads-null cells plated on fibronectin or collagen exhibited a more circular morphology with shorter cell extensions (37% reduction on fibronectin; p < 0.001). Reconstitution of Ads in Ads-null cells restored the formation of cell extensions (p < 0.05). While cell migration on two-dimensional matrices was unchanged by Ads deletion, the formation of cell extensions across Transwell membranes was reduced (~40% reduction, p < 0.05). When plated on fibrillar collagen, compared with wildtype, Ads-null cells showed reduced expression of MT1-MMP, collagen degradation (p < 0.05) and phagocytosis of collagen-coated beads (25% reduction; p = 0.001). We conclude that Ads is involved in the formation of cell extensions and collagen degradation in MCF7 cells, which may in turn affect matrix invasion and 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".