Expression and Processing of the [Pro<sup>2</sup>,Met<sup>13</sup>]Somatostatin-14 Precursor in the Intermediate Lobe of the Frog Pituitary
Bibliographic record
Abstract
The biosynthesis of various hypothalamic neuropeptides has been previously reported in anterior pituitary cells but not in intermediate lobe cells. We have recently demonstrated the occurrence of two somatostatin isoforms in the frog brain, namely somatostatin-14 (SS1) and [Pro(2),Met(13)]somatostatin-14 (SS2). In the present study, we demonstrate that the gene encoding the SS2 precursor (PSS2) is actively expressed in the intermediate lobe of the frog pituitary. High concentrations of PSS2 mRNA have been detected by Northern blot analysis and in situ hybridization in the frog pars intermedia but not in the pars distalis or pars nervosa. The distribution of PSS1- and PSS2-derived peptides has been investigated by immunohistochemistry using two antisera directed against SS1 and the sequence 54-66 of PSS2 (PSS2(54-66)), respectively. The SS1 antiserum stained only a network of fibers in the neural lobe and a few nerve processes in the intermediate lobe. In contrast, the PSS2(54-66) antiserum produced intense labeling of melanotrope cells in the pars intermedia. Biochemical characterization of the immunoreactive materials present in pituitary extracts was performed by combining high-performance liquid chromatography analysis and RIA detection. The SS1 RIA revealed the existence of two major immunoreactive peaks that exhibited the same retention times as synthetic SS1 and SS2. The PSS2(54-66) RIA detected a single peak that likely corresponds to the N-flanking peptide of SS2 (PSS2(1-66)). The present study reveals that melanotrope cells of the frog pituitary selectively express the PSS2 gene and fully process PSS2 to generate the mature somatostatin variant SS2. Taken together, these data provide the first evidence that the gene encoding a hypophysiotropic neuropeptide is intensely expressed in the intermediate lobe of the pituitary.
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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 | 0.000 | 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 | 0.000 |
| 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".