Micro-ARN : oncogènes et suppresseurs de tumeurs
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
microRNAs constitute one of the most important discovery in the past few years in the field of gene expression regulation. They can precisely regulate the expression of a specific protein by inhibiting its translation and/or promoting the degradation of its mRNA. In several cancers, the expression of some microRNAs is misregulated, pointing toward the existence of microRNAs with oncogenic or tumour suppressor properties. The miR-17-92 miRNA cluster has been reported to have a pro-oncogenic role in a mouse model system of Myc-induced B cell lymphoma. Some of its targets mRNAs code for proteins with pro-apoptotic or anti-proliferative functions, which shed some light on the mechanism of action of this cluster. On the other hand, a tumour suppressor miRNA like let-7 targets mRNAs coding for oncogenes and is frequently down-regulated in cancers. The finding that c-Myc controls the expression of several of these microRNAs reveals new information on how misregulation of this proto-oncogene can promote tumorigenesis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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