MiR‐128 up‐regulation inhibits Reelin and DCX expression and reduces neuroblastoma cell motility and invasiveness
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT MicroRNAs are a class of sophisticated regulators of gene expression, acting as post‐transcriptional inhibitors that recognize their target mRNAs through base pairing with short regions along the 3'UTRs. Several microRNAs are tissue specific, suggesting a specialized role in tissue differentiation or maintenance, and quite a few are critically involved in tumorigenesis. We studied miR‐128, a brain‐enriched microRNA, in retinoic acid‐differentiated neuroblastoma cells, and we found that this microRNA is up‐regulated in treated cells, where it down‐modulates the expression of two proteins involved in the migratory potential of neural cells: Reelin and DCX. Consistently, miR‐128 ectopic overexpression suppressed Reelin and DCX, whereas the LNA antisensemediated miR‐128 knockdown caused the two proteins to increase. Ectopic miR‐128 overexpression reduced neuroblastoma cell motility and invasiveness, and impaired cell growth. Finally, the analysis of a small series of primary human neuroblastomas showed an association between high levels of miR‐128 expression and favorable features, such as favorable Shimada category or very young age at diagnosis. Thus, we provide evidence for a role for miR‐128 in the molecular events modulating neuroblastoma progression and aggressiveness.—Evangelisti, C., Florian, M. C., Massimi, I., Dominici, C., Giannini, G., Galardi, S., Buè, M. C., Massalini, S., McDowell, H. P., Messi, E., Gulino, A., Farace, M. G., Ciafrè, S. A. MiR‐128 up‐regulation inhibits Reelin and DCX expression and reduces neuroblastoma cell motility and invasiveness. FASEBJ. 23, 4276‐4287 (2009). www.fasebj.org
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 it