Cloning of Transforming Growth Factor-β1 (TGF-β1) and Its Type II Receptor from Zebrafish Ovary and Role of TGF-β1 in Oocyte Maturation
Bibliographic record
Abstract
TGF-beta is a multifunctional factor involved in regulating a variety of cellular activities. In mammals, TGF-beta is known to regulate reproduction, including ovarian functions. The role of TGF-beta in lower vertebrates, such as fish, is poorly understood. To examine the role of TGF-beta in fish reproduction, cDNAs encoding TGF-beta 1 and the type II TGF-beta receptor (T beta RII) were cloned from the zebrafish ovary using PCR- based strategies. The mature peptide region of the zebrafish TGF-beta 1 shows 70-85% identity with TGF-beta 1 from other species. The zebrafish T beta RII cDNA sequence is the first to be reported from a fish species, and it shows a high level of conservation at the kinase domain. Using RT-PCR, we have detected mRNA expression of TGF-beta 1, T beta RII, as well as its downstream signaling molecules Smad2, 3, and 4 in ovarian follicles at different stages of development. In addition, we have examined the effect of TGF-beta 1 on oocyte maturation. TGF-beta 1 significantly inhibited both gonadotropin- and 17 alpha, 20 beta-dihydroxyprogesterone-induced oocyte maturation in a dose- and time-dependent manner. These findings demonstrate, for the first time, that TGF-beta 1 plays a role in regulating oocyte maturation in fish and suggest that a TGF-beta/Smad signaling pathway is present in the zebrafish ovary.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".