Induction of Hypoxia-inducible Factor-1α by Transcriptional and Translational Mechanisms
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Bibliographic record
Abstract
Hypoxia-inducible factor-1 (HIF-1) regulates the transcription of many genes induced by low oxygen conditions. Recent studies have demonstrated that non-hypoxic stimuli can also activate HIF-1 in a cell-specific manner. Here, we define two key mechanisms that are implicated in increasing the active subunit of the HIF-1 complex, HIF-1alpha, following the stimulation of vascular smooth muscle cells (VSMC) with angiotensin II (Ang II). We show that, in contrast to hypoxia, the induction of HIF-1alpha by Ang II in VSMC is dependent on active transcription and ongoing translation. We demonstrate that stimulation of VSMC by Ang II strongly increases HIF-1alpha gene expression. The activation of diacylglycerol-sensitive protein kinase C (PKC) plays a major role in the increase of HIF-1alpha gene transcription. We also demonstrate that Ang II relies on ongoing translation to maintain elevated HIF-1alpha protein levels. Ang II increases HIF-1alpha translation by a reactive oxygen species (ROS)-dependent activation of the phosphatidylinositol 3-kinase pathway, which acts on the 5'-untranslated region of HIF-1alpha mRNA. These results establish that the non-hypoxic induction of the HIF-1 transcription factor via vasoactive hormones (Ang II and thrombin) is triggered by a dual mechanism, i.e. a PKC-mediated transcriptional action and a ROS-dependent increase in HIF-1alpha protein expression. Elucidation of these signaling pathways that up-regulate the vascular endothelial growth factor (VEGF) could have a strong impact on different aspects of vascular biology.
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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 it