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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".