Vascular endothelial growth factor production is induced by histone deacetylase 1 and suppressed by von Hippel-Lindau protein in HaCaT cells
Bibliographic record
Abstract
PURPOSE: In hypoxic tumoral tissues, vascular endothelial growth factor (VEGF) expression is positively regulated by histone deacetylase 1 (HDAC1) and negatively regulated by the tumour suppressor protein von Hippel-Lindau (VHL) via transforming growth factor-alpha (HIF-1alpha). It has been reported that VEGF, HDAC1 and LL-37, but not VHL, are over-expressed in psoriatic skin. Although HIF-1alpha is constitutively expressed in normal keratinocytes, it is not known if HDAC1 and VHL can regulate VEGF production in these cells. METHODS: The participation of HDAC1 and VHL in the regulation of VEGF expression in HDAC-, VHL- and LL-37-transfected HaCaT cells, and in HaCaT cells treated with HDAC1 inhibitors, was studied. RESULTS: The production of VEGF was increased in HDAC1- and LL-37-transfected HaCaT cells and maintained in VHL-transfected cells under hypoxic conditions; meanwhile, VEGF production decreased in HaCaT cells treated with TSA, in cells transfected with HDAC1-siRNA, in cells co-transfected with HIF-1alpha-siRNA and pHDAC-1 and in VHL-transfected HaCaT cells. The levels of cytoplasmic HIF-1alpha were high in pLL37-transfected cells and low in pVHL- and pHDAC1-transfected cells; however, HIF-1alpha was detected in the nucleus of the HDAC1-transfected cells. The expression of VEGF was high in cells co-transfected with pHDAC1- and pLL-37, and the expression decreased when pVHL was present. CONCLUSIONS: These data demonstrate that HDAC1, LL-37 and VHL can modulate the production of VEGF via HIF-1alpha in HaCaT cells.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".