Temporal Expression Pattern of Genes Involved in Steroidogenesis, Cell Cycle, and Mtor-Signaling in the Ovarian Somatic Cells During Follicular and Luteal Growth.
Bibliographic record
Abstract
Mammalian target of rapamycin (Mtor) is a master regulator of cellular processes including cell-cycle, protein synthesis, transcription and apoptosis in response to nutrient and metabolic signals. Since follicular and corpus luteum (CL) growth involves integration of numerous nutrient and growth-factor signals within follicular and luteal microenvironment, Mtor is a potential candidate for the molecular hub of such integration. Recent studies indicate that Mtor may play a role in the regulation of granulosa cell proliferation. However, the potential roles of Mtor in granulosa-luteal differentiation and steroidogenesis have not been studied. Thus, the objective of our study was to assess temporal relationship among the expression pattern of genes involved in Mtor pathway, granulosa cell proliferation and steroidogenesis. We used superovulation of immature mice and laser microdissection to collect granulosa and luteal cells at specific stages of follicular and CL growth. The expression pattern of cell cycle (Ccnd2 and Cdkn1b), steroidogenic (Cyp19a1, Star and Cyp11a1) and Mtor-pathway (Mtor and Rptor) gene was analyzed by real-time PCR. The expression of Cyp19a1, Ccnd2 were high during follicular growth and low during CL growth; that of Star, Cyp11a1 and Cdkn1b was low during follicular growth and high after ovulation induction through CL growth. This pattern of expression reflected granulosa cell proliferation and estrogen synthesis during follicular growth, and luteal cell differentiation and progesterone synthesis during CL growth. As expected, the expression of Mtor and Rptor was high during follicular growth. Surprisingly, the expression of Mtor increased after ovulation during CL growth, in correlation with that of Cyp11a1 and Cdk1nb). These results indicate that in addition to granulosa cells proliferation, Mtor may also play a significant role in luteal cell steroidogenesis and maintaining their cell-cycle inhibition. Supported by NSERC Discovery Grant. (poster)
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) | 0.000 | 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".