A Novel Role for Tid1 in HIF2α Regulation
Bibliographic record
Abstract
Activity of the hypoxia inducible HIF-alpha transcription factors drive the hypoxic response, resulting in enhancement of angiogenesis, tumour growth, invasion and metastasis. Seeking to uncover a role for Tid1 in control of HIF2-alpha, we used lentiviral shRNA to knock-down Tid1 in 786-0 RCC cells with and without pVHL. In 786-0 cells stably expressing pVHL30, Tid1 knock-down resulted in a dramatic reduction in HIF2-alpha levels relative to controls. Adenoviral-mediated overexpression of Tid1S rescued this decline in HIF2-alpha levels, while overexpression of Tid1L enhanced this decline. A protective role of Tid1S for HIF2-alpha was reproduced in a HEK293 cell model. Immunoprecipitations in HEK293 cells revealed a lack of direct binding between HIF2-alpha and Tid1 in vivo, while adenoviral-mediated overexpression of Tid1 in this model failed to alter in vitro binding between HIF2-alpha and pVHL30. We present a model in which Tid1 regulates HIF2-alpha stability through regulation of pVHL30 nuclear import.
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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 | 0.000 | 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) | 0.002 | 0.001 |
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".