Differential Expression of Estrogen Receptor-Related Receptor α and Estrogen Receptors α and β in Osteoblasts In Vivo and In Vitro
Bibliographic record
Abstract
The orphan nuclear estrogen receptor-related receptor (ERR) alpha is expressed by osteoblastic cells, is known to transactivate at least one osteoblast-associated gene osteopontin (OPN) and plays a functional role in osteoprogenitor cell proliferation and differentiation. To dissect further the role of ERR-alpha in bone formation, we compared its expression to that of the estrogen receptor (ER) alpha and ER-beta in rat calvaria (RC) and fetal tibia in vivo and in RC and rat bone marrow (RBM) cells in vitro. We found that ERR-alpha is highly and widely expressed in most, if not all, cells in RC cell cultures from early proliferation stages through mineralized nodule formation; ER-alpha was localized similarly but at lower levels and ER-beta, although present, was barely detectable. These patterns of expression in vitro correlated with what we observed in vivo in sections of 21-day fetal RC, in which ERR-alpha appeared to be more highly expressed than either of the ERs. Interestingly, ERR-a also is highly expressed in RBM cells, while ER-alpha and ER-beta mRNA is expressed, but at lower levels. Moreover, we found that ERR-alpha, ER-alpha, and ER-beta were all expressed in osteoblasts in fetal and adult tibia whereas they were expressed differentially in calvaria in vivo in subsets of osteoblasts, supporting the hypothesis that ERR-alpha may interact with one or both of the ERs in those osteoblasts in which they are coexpressed and that all three receptors may be required for bone formation but at different times and for different functions.
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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 | 0.001 | 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) | 0.000 | 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".