Specific Release of a Novel Pituitary Polypeptide, 7B2, from Rat Anterior Pituitary Cells in vitro by Luteinizing Hormone-Releasing Hormone
Bibliographic record
Abstract
We have recently purified a novel pituitary polypeptide, designated 7B2. Subsequently, we developed a sensitive and specific radioimmunoassay (RIA) for this novel polypeptide. Our aim in the present study was to investigate the release of 7B2 from rat pituitary induced by various hypothalamic factors [luteinizing hormone-releasing factor (LH-RH), corticotropin-releasing factor (CRF), and growth hormone-releasing factor (GRF)]. The anterior pituitaries were removed from rats and immediately dispersed enzymatically (a mixture of collagenase/dispase/deoxyribonuclease/chicken serum) and plated on collagen-coated multiwell plates in culture medium containing 10% fetal bovine serum. After 2 days of attachment period, the medium was replaced with fresh medium every 24 h. The primary cell culture was incubated with various concentrations of LH-RH, CRF or GRF. Subsequently, the concentrations of IR-7B2, IR-LH, IR-FSH, and IR-ACTH released into the medium were quantified by specific RIA. LH-RH, at a concentration as low as 7.5 ng/ml (6 X 10(9) M: dose range 7.5-60 ng/ml) stimulated the release of IR-7B2, IR-LH, and IR-FSH, by 2- to 3-fold, 17- to 18-fold, and 3-fold, respectively, over basal levels. No significant increase of IR-7B2 was observed when stimulated by CRF or GRF at doses as high as 100 ng/ml. In addition, K+ (50 mM) stimulated the release of all the peptides measured. In conclusion, our studies suggest that the novel peptide 7B2 is under LH-RH control and indirectly confirm the immunohistochemical results of its cellular co-localization in FSH and LH cells.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".