Transcriptome of Angiopoietin 1–Activated Human Umbilical Vein Endothelial Cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Angiopoietin 1 (Ang-1) is the main ligand for endothelial cell-specific tyrosine kinase (Tie-2) receptors and it promotes migration and proliferation and inhibits apoptosis and vascular leakage. The exact mechanisms through which the Ang-1 exerts these effects remain unclear. The authors exposed human umbilical vein endothelial cells (HUVECs) to Ang-1 (300 ng/mL) for 4 h and conducted gene expression profiling using oligonucleotide microarrays. Real-time polymerase chain reaction (PCR) was also conducted to verify several of the genes that were regulated by Ang-1. Exposure to Ang-1 resulted in induction of 86 genes that are involved in endothelial cell (EC) proliferation, differentiation, migration, and survival. Thirty-six of these genes, including stanniocalcin, cyclin D1, vascular endothelial growth factor C, fms-related tyrosine kinase 1, interleukin 8, and CXCR4 have previously been shown to be induced by vascular endothelial growth factor (VEGF), suggesting significant similarities between VEGF and Ang-1 pathways. Ang-1 exposure also inhibited mRNA expressions of 49 genes, most of which are involved in cell cycle arrest, apoptosis, and suppression of transcription. These results indicate that Ang-1 triggers coordinated responses in endothelial cells designed to inhibit the expression of proapoptotic and antiproliferative genes and up-regulate proproliferative, proangiogenic, and antiapoptotic pathways. Moreover, we also found that the Erk1/2, phosphatidylinositol (PI) 3-kinase, and the mTOR pathways are involved in Ang-1-induced gene expression in HUVECs.
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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