Generation of a Murine Model for Renal Cell Carcinoma by Overexpression of HIF2α
Bibliographic record
Abstract
Renal cell carcinoma (RCC) is the commonest urogenital tumor, characterized by increased expression of hypoxia inducible factors (HIFs). During normoxia, HIFα subunits are targeted for proteasomal degradation by the product of the von Hippel Lindau gene (pVHL). In RCC, mutations in the VHL gene allow the HIFα subunits to escape degradation and translocate to the nucleus where they activate transcription of their target genes. Although both HIF1α and HIF2α are upregulated in RCC, it has been suggested that HIF2α plays the dominant role. To further elucidate the function of HIF2α in RCC, we generated a transgenic mouse model that permits temporal stabilization of HIF2α in renal tubular cells. Induction of HIF2α results in the rapid development of renal cysts - a feature observed in RCC. Taken together, these results suggest that HIF2α is a key player in development of RCC and an excellent candidate target for therapy in this disorder.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".