A hypoxic response induced in MatLyLu cells by cobalt chloride results in an enhanced angiogenic response by the chick chorioallantoic membrane
Bibliographic record
Abstract
Hypoxia is an important regulator of hypoxia inducible factor-1alpha (HIF-1alpha) and vascular endothelial growth factor (VEGF) expression. Using Dunning rat prostate tumour cells (MatLyLu) we examined the induction of HIF-1alpha and VEGF by hypoxia and if the induction of these proteins would lead to angiogenesis in the chick chorioallantoic membrane (CAM). MatLyLu cells were exposed to 1% O2, in 5.25% CO2 and 94.75% N2, or treated with 100 mM CoCl2 to simulate hypoxia. Conditioned medium was analyzed using Western blots for HIF-1alpha or VEGF. VEGF levels were quantified using ELISA. Hypoxia significantly increased both HIF-1alpha and VEGF protein production. MatLyLu cells (1x10(6) viable cells in 50 microl of medium) grown under normoxic conditions induced in angiogenesis in the CAM, evaluated by the formation of a spoke wheel, and in cross sections by the number of blood vessels, following 5-day culture. This response was significantly increased using CoCl2-treated cells. Culture medium alone with or without CoCl2 was not angiogenic. These results provide direct evidence for the role of hypoxia in the induction of HIF-1alpha and VEGF which act as key angiogenic signals.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".