Regulation of Luteal Cell Big Stanniocalcin Production and Secretion
Bibliographic record
Abstract
In mammals, the ovaries have the highest levels of stanniocalcin (STC) gene expression, most or all of which is confined to androgen-producing thecal-interstitial cells (TICs). Ovarian TICs also synthesize a different STC that consists of three high molecular weight species collectively known as big STC. Upon release in response to LH stimulation, TIC-derived big STC is sequestered locally by target cells, particularly steroidogenic cells of the corpus luteum, via a receptor-mediated process. Although there is little or no STC gene expression in luteal cells in the in vivo setting, this report describes how the gene is turned on, STC mRNA becomes readily detectable, and big STC is secreted when bovine luteal cells are cultured in vitro. STC gene expression and secretion were both positively regulated by activation of the adenylate cyclase/protein kinase A signaling pathway (forskolin and 8-bromo-cAMP). However, prostaglandin E2 was the only natural luteal cell ligand capable of replicating the effects of forskolin and 8-bromo-cAMP (LH had no consistent effect). Sex steroids such as 17beta-estradiol, androstenedione, and progesterone significantly decreased luteal cell STC expression and secretion. However, only androstenedione was capable of reducing STC production and secretion to undetectable levels. This report is the first to show that once removed from their normal context within the ovary, luteal cells are capable of synthesizing and secreting big STC. It is also the first to delineate the regulatory mechanisms involved in STC production and secretion by luteal cells. These results therefore suggest that under certain physiological conditions, the corpus luteum could very well serve as a source of STC production.
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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".