Isolation and characterization of RA-target genes from keratinocytes potentially involved in epithelial tumorigenesis
Bibliographic record
Abstract
Retinoic acid (RA), the principal biologically active retinoid, is essential for normal differentiation of a wide variety of cell types. Vitamin A deficiency predisposes to certain cancers and it has since been discovered that retinoids display antitumorigenic activity in many models. Keratinocytes with a null mutation in the RARgamma and RARalphagamma genes are predisposed to tumorigenesis in vivo. This outcome is reversed by the re-introduction of a functional RAR, suggesting that some retinoid-target gene(s) are implicated in tumour formation in this model. Suppressive subtractive hybridization techniques have been used to isolate RA-responsive genes no longer regulated in RAR-null keratinocytes. This work led to the cloning of gas3, a member of the growth arrest-specific gene family. Our studies have demonstrated that gas3 expression is regulated by RA and is greatly reduced following tumor promotion, indicating that this gene could potentially inhibit epidermal tumorigenesis elicited by retinoids.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".