Mullerian Inhibitory Substance Induces Growth of Rat Preantral Ovarian Follicles1
Bibliographic record
Abstract
Müllerian inhibitory substance (MIS), also known as anti-Müllerian hormone, is best known as the hormone that regulates the regression of the Müllerian duct in males. In females, MIS is expressed in granulosa cells of preantral and early antral follicles. The specific MIS type II receptor is present in granulosa and theca cells of these small, growing follicles. Because the role of MIS in preantral follicle development is unknown, we have evaluated the effect of MIS on the growth, differentiation, and apoptosis of intact preantral follicles in a serum-free culture system. In this system, treatment with FSH induces an increase in both follicle diameter, cell number, and follicle cell differentiation based on increased inhibin-alpha synthesis. Of interest, treatment with MIS enhances the effect of FSH both on follicle diameter and cell number. Although treatment with activin A also enhances FSH effects on follicle growth, treatment with transforming growth factor (TGF)-ss inhibits the FSH effects on follicle growth. Based on in situ staining of fragmented DNA, MIS was found to have no effect on follicle cell apoptosis, unlike its proapoptotic action on Müllerian ducts. In contrast to MIS and activin, TGF-ss was a potent proapoptotic factor for preantral follicles in culture. Analysis of inhibin-alpha expression of cultured preantral follicles further indicated that in contrast to activin, treatment with MIS did not enhance FSH-stimulated follicle differentiation. Thus, MIS is a unique factor that promotes preantral follicle growth but not preantral follicle cell differentiation and apoptosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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".