Study of breast cancer cell migration and actin dynamics through transforming growth factor-beta-regulated
Bibliographic record
Abstract
Transforming growth factor-beta (TGF-beta) plays an important role in breast cancer progression as a pro-metastatic factor, notably through enhancement of cell migration. It is becoming clear that micro-RNAs (miRNAs), a new class of small regulatory molecules, act downstream of TGF-beta at several steps of cancer progression. We report here the down-regulation of miR-584 by TGF-beta in a panel of breast cancer cell lines. We found this regulation to be required for TGF-beta-mediated cell migration. Moreover, we determined that the protein phosphatase and actin regulator 1 (PHACTR1), an actin-binding protein, was positively regulated by TGF-beta and inhibited by miR-584. The presence of PHACTR1 was required for TGF-beta to promote the migration of invasive breast cancer cells. Finally, both the over-expression of miR-584 and the knock-down of PHACTR1 resulted in a major re-organization of the actin cytoskeleton. We thus propose a mechanism whereby TGF-beta silences the expression of miR-584 to enhance this of PHACTR1, resulting in a re-arrangement of actin that leads to promotion of breast cancer cell migration.
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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".