Thrombin Generation and Presence of Thrombin Receptor in Ovarian Follicles1
Bibliographic record
Abstract
Prothrombin, once converted to its enzymatically active form (i.e., thrombin), induces a broad spectrum of cellular responses in both vascular and avascular tissues. Bovine ovarian granulosa cells isolated from healthy follicles of various sizes contain both prothrombin mRNA and immunologically reactive prothrombin that appears to be identical to prothrombin in follicular fluid and plasma. When tissue factor, the primary physiological activator of thrombin generation in plasma, is used to initiate thrombin formation, the profile of prothrombin-to-thrombin conversion is similar in follicular fluid and plasma. The conclusion that biologically functional prothrombin is synthesized by granulosa cells is further supported by evidence that mRNA for gamma-glutamyl carboxylase, an enzyme essential for the vitamin K-dependent posttranslational modification of prothrombin, is expressed in granulosa cells in a manner similar to prothrombin mRNA. Thrombin's biological effects are mediated through selective proteolytic cleavage and activation of specific receptors. Bovine granulosa cells possess thrombin receptor (PAR-1) mRNA, and as seen with prothrombin mRNA and gamma-glutamyl carboxylase mRNA, cells isolated from small follicles possess more PAR-1 mRNA than cells from large follicles. Thrombin receptor expression by cells in close proximity to an active thrombin-generating system suggests that these factors may be important mediators of cellular function in the ovarian follicle.
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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 | 0.001 |
| 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".