Gene Expression of Proprotein Convertases in Individual Rat Anterior Pituitary Cells and Their Regulation in Corticotrophs Mediated by Glucocorticoids
Bibliographic record
Abstract
The subtilisin-like proprotein convertases (SPCs) are a family of serine proteinases that process secreted proteins at single or paired basic residues. Each SPC has been localized in the rat anterior pituitary, implying their importance in precursor processing in this tissue. The cellular distribution of each SPC has not been established in each hormone-producing cell type. We used double labeling in situ hybridization histochemistry to examine the mRNA distribution of five SPCs in relation to corticotrophs, thyrotrophs, lactotrophs, gonadotrophs, and somatotrophs. Our data demonstrated that SPC expression patterns were distinct, with each SPC expressed in more than one cell type. We noted that overlapping SPC expressions were the rule rather than the exception, suggesting potential SPC redundant functions. We examined the effects of adrenalectomy on corticotroph SPC expression. Most corticotrophs expressed SPC1, SPC3, and SPC4, but few corticotrophs expressed SPC2 or SPC6. After adrenalectomy, we observed increased mRNA levels for SPC1, SPC3, SPC4, and SPC6, but not for SPC2, in POMC-positive anterior pituitary cells. These increased levels were reversed by dexamethasone treatment. These data demonstrate the plasticity of SPCs expression in corticotrophs. SPCs may be directly involved in the mammalian stress response and may be important in hypothalamic-pituitary-adrenal axis homeostasis.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".