Angiotensin II Type 2 Receptor–Mediated Gene Expression Profiling in Human Coronary Artery Endothelial Cells
Bibliographic record
Abstract
Despite intensive investigation, the molecular mechanism by which the angiotensin II type 2 (AT2) receptor exerts its cellular and physiological actions remains elusive. In the present study, we have used microarray expression analysis to identify genes whose expression was regulated by this receptor and to determine its cellular consequences. Lentiviral vector was used to express the AT2 receptor in human coronary artery endothelial cells (HCAECs), followed by analysis of expression profiles. We observed approximately 5224 genes regulated in an AT2 receptor ligand-independent manner in HCAECs expressing the AT2 receptor. In addition, 1235 genes were differentially expressed in response to the AT2 receptor-specific ligand, CGP42112A. Validity of the expression profiles was demonstrated by real-time reverse-transcriptase polymerase chain reaction quantitation of 5 genes. Because some of these genes could be linked to the regulation of extracellular matrix association, we studied the effect of the AT2 receptor on cell migration. Expression of the AT2 receptor resulted in a 2-fold inhibition of HCAEC migration. Taken together, these observations demonstrate that the AT2 receptor regulates expression of genes relevant to cell migration, protein processing, intracellular signaling, and DNA repair in both ligand-dependent and ligand-independent manners.
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".