Expression of Messenger RNA for ADAMTS Subtypes Changes in the Periovulatory Follicle after the Gonadotropin Surge and During Luteal Development and Regression in Cattle1
Bibliographic record
Abstract
Extensive remodeling of the extracellular matrix occurs in the ovary during the periovulatory period. Matrix metalloproteinases and their endogenous inhibitors, tissue inhibitors of metalloproteinases, are believed to play integral roles in this highly regulated series of cellular events, but their specific roles remain unclear. Recent cloning studies have identified a novel family of metalloproteinases, the ADAMTS (A Disintegrin And Metalloproteinase with ThromboSpondin motifs) family. The regulated expression of distinct ADAMTS subtypes has been shown to be required for tissue morphogenesis during embryonic development and for maintaining the integrity of tissues in the adult. In the present studies, we have determined that multiple ADAMTS subtypes are present in the bovine ovary using a reverse transcription-polymerase chain reaction strategy. In particular, ADAMTS-1, -2, -3, -4, -5 (also known as ADAMTS-11), -7, -8, and -9, but not ADAMTS-6, -10, or -12, mRNA transcripts were detected in granulosa cells of nonatretic ovarian follicles and corpora lutea. The levels of mRNA for these ovarian ADAMTS were up- or down-regulated or remained unchanged in the granulosa and/or theca cells of the dominant follicle following the preovulatory surge of gonadotropins, depending on the subtype and/or the cell compartment, and in the corpus luteum during the luteal phase of the estrous cycle. The complex expression patterns observed for the distinct ADAMTS subtypes in the granulosa and theca cells of the periovulatory follicle and in the luteal tissues of the bovine ovary suggest that these novel proteases mediate, at least in part, the remodeling events underlying folliculogenesis and ovulation and the formation, maintenance, and regression of the corpus luteum.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".