MicroRNA miR-199a-3p regulates cell proliferation and survival by targeting caveolin-2
Bibliographic record
Abstract
Recent advances in the study of microRNAs indicate that they have an important role in regulating cellular activities such as proliferation, morphogenesis, apoptosis and differentiation by regulating the expression of various genes. MiR-199a-3p is highly expressed in hair follicles and in some tumor cells, suggesting its participation in tumor progression, but it is significantly underexpressed in hepatocellular carcinoma and in bladder cancer. The mechanism underlying these effects is not yet known. Here, we dissect the effects of miR-199a-3p on YPEN-1 endothelial cells, and MDA-MB-231 and MT-1 breast cancer cell lines. We found that expression of miR-199a-3p promotes proliferation and survival of endothelial cells as well as breast cancer cells. Remarkably, miR-199a-3p inhibited both endogenous caveolin-2 activity and exogenous caveolin-2 activity, which was confirmed by a reporter construct bearing the 3'-untranslated region of caveolin-2. However, overexpression of caveolin-2 completely counteracted the enhancement of miR-199a-3p-mediated activities on cell proliferation, survival and sensitivity of tumor cells to anticancer drugs. Our findings suggest that MiR-199a-3p targeting of caveolin-2 might have an important role in breast cancer tumor progression, making it a potential candidate for intervention in cancer.
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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) | 0.000 | 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".