Expression and Localization of Thrombospondin-1 and -2 and Their Cell-Surface Receptor, CD36, During Rat Follicular Development and Formation of the Corpus Luteum1
Bibliographic record
Abstract
Thrombospondin (TSP)-1 and -2 are extracellular matrix glycoproteins that are both antiangiogenic and important in regulating cellular development, differentiation, and function. To evaluate the expression of TSP in follicular and luteal development, ovarian cycles of Sprague-Dawley rats were synchronized and tissues collected daily at stages corresponding to the early antral, ovulatory, early luteal, and late luteal phases of the ovarian cycle. Immunohistochemistry and Western blot analyses demonstrated that TSP-1 protein and its receptor, CD36, were present in the early antral phase and were localized primarily to the granulosa cells of antral follicles. Both proteins were also present immediately after ovulation and were localized to the developing corpus luteum. Messenger RNA for TSP-1 showed a similar pattern, with expression at the early antral and ovulatory phases. Protein and mRNA expression for TSP-2 was relatively delayed compared to TSP-1, although TSP-2 also was expressed in granulosa cells. Both TSP-1 and -2 were increased in response to LH stimulation in vitro, whereas TSP-2 was suppressed by FSH. The temporal pattern of expression of TSP-1, -2, and CD36, which mirrors the active phases of angiogenesis in this experimental model, is compatible with a role for these proteins in the control of ovarian vascularization.
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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 | 0.001 | 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 | 0.000 |
| 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".