Epitope-dependent localization of estrogen receptorα, but not -β, in en face arterial endothelium
Bibliographic record
Abstract
Rapid, nongenomic effects of 17 beta-estradiol (E(2)) in endothelial cells are postulated to arise from membrane-associated estrogen receptors (ERs), which have not been visualized in vascular tissue. To identify membrane ERs, we used multiple site-directed ER alpha or ER beta antibodies to label en face rat cerebral and coronary arterial endothelia. Western blots revealed a novel 55-kDa ER alpha isoform. Three-dimensional images of cells labeled with these antibodies and markers for the nucleus and caveolin-1 were acquired with a wide-field microscope, deconvolved, and numerically analyzed. We found ER alpha in the nucleus and cell periphery, where one-third colocalized with caveolin-1. The receptor location was dependent on the epitope of the antibody. Human ovarian surface epithelium produced similar results; but in rat myometrium, the distribution was epitope independent and nuclear. ER beta distribution was predominantly intranuclear and epitope independent. A small amount of ER alpha colocalized with ER beta within the nucleus. The results were identical in both arterial preparations and insensitive to E(2). We postulate that the different ER alpha conformations at the membrane, in the nucleus, and between different cell types allow E(2) to trigger cell- and location-specific signaling cascades.
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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".