Expression of Neuroendocrine Secretory Protein 7B2 mRNA in the Mouse and Rat Pituitary Gland
Bibliographic record
Abstract
The secretory polypeptide 7B2 is produced in different endocrine and neuroendocrine cells, where it is presumed to play a role in the hormone secretion mechanism. In this study, we examined a pattern of 7B2 mRNA expression in the mouse and rat pituitary gland. When [35S]-labeled antisense cRNA probes were used for in situ hybridization, 7B2 mRNA transcripts were detected within virtually all endocrine cells of the anterior lobe (gonadotrophs, thyrotrophs, corticotrophs, somatotrophs and lactotrophs) and of the intermediate lobe (melanotrophs). The posterior lobe was negative. By immunocytochemistry, 7B2 accumulation was observed within melanotrophs in the intermediate lobe and within gonadotrophs and thyrotrophs in the anterior lobe. The question of 7B2 production in other pituitary cells, such as corticotrophs, somatotrophs and lactotrophs, was studied under culture conditions. The corticotroph AtT-20 and somatrotroph GH3 cell lines both expressed 7B2 mRNA and contained 7B2 protein detectable by radioimmunoassay. However, this protein could not be visualized by immunocytochemistry. Thus, it is possible that 7B2 is produced in all hormone-synthesizing cells of the pituitary gland, being stored only within some of them and rapidly exported after synthesis from others.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".