Activin A in JEG-3 Cells: Potential Role as an Autocrine Regulator of Steroidogenesis in Humans1
Bibliographic record
Abstract
Activin A has been shown to exert several regulatory functions on human placenta. In the present study, we tested the hypothesis that activin A is an autocrine regulator of trophoblast using a choriocarcinoma cell line, JEG-3, as a model. Messenger RNAs for activin beta(A) subunit, activin binding protein (follistatin), and various activin receptors, including ActR-IA, ActR-IB, ActR-IIA, and ActR-IIB, were detected in JEG-3 cells by reverse transcription-polymerase chain reaction. The expression of activin A in JEG-3 cells was further confirmed by Western blot analysis using an antibody against activin beta(A) subunit. Using Northern blot analysis, Smad-2 and Smad-4 mRNAs were also observed in JEG-3 cells. These data suggest that JEG-3 cells produce activin A and express activin binding proteins and receptors, as well as potential downstream signals. In cultured JEG-3 cells, basal progesterone production was stimulated by activin A but inhibited by follistatin-288. Similarly, in the presence of androstenedione, estradiol production was enhanced by activin A but decreased by follistatin-288. On the other hand, neither activin A nor follistatin affected JEG-3 cell growth. Taken together, these findings strongly suggest that activin A is an autocrine factor that is involved in the regulation of progesterone and estradiol production in JEG-3 cells.
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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) | 0.000 | 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 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".