Normal and oncogenic roles for microRNAs in the developing brain
Bibliographic record
Abstract
MicroRNAS (miRNAs) are small endogenous non-coding RNAs that play important roles in many different biological processes including proliferation, differentiation and apoptosis through silencing of target genes. Emerging evidence indicates that miRNAs are key players in mammalian development that, when altered, contribute to tumorigenesis. However, only a few studies to date have focused on the role of miRNAs in medulloblastoma, the most common malignant pediatric brain tumor. These tumors arise in the cerebellum and may attribute their origins to deregulated proliferation of neural progenitor cells during development. Understanding the interplay between normal brain development and medulloblastoma pathogenesis is necessary in order for more efficient, less toxic targeted therapies to be developed and implemented. MiRNA expression profiling of both mouse and human medulloblastomas has led to the identification of signatures correlating with the molecular subgroups of medulloblastoma, tumor diagnosis and response to treatment, as well as novel targets of potential clinical relevance. This review summarizes the recent miRNA literature in both medulloblastoma and normal brain development.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".