Tissue Distribution and Molecular Forms of a Novel Pituitary Protein in the Rat
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Bibliographic record
Abstract
A sensitive and specific radioimmunoassay (RIA) was developed for a novel pituitary protein that we recently isolated from human and porcine pituitary gland and designated 7B2. By employing this RIA, we were able to detect and assay this novel protein in different rat tissue extracts. The concentrations of 7B2 in rat anterior pituitary lobe, neurointermediate lobe, hypothalamus, adrenal medulla and thyroid gland were 10,400 +/- 804; 6,190 +/- 908; 773 +/- 50; 697 +/- 83 and 1,368 +/- 116 pg/mg tissue (wet weight, n = 10, mean +/- SEM), respectively. However, the concentrations of 7B2 were lower than 30 pg/mg tissue in extracts of pancreas, ileum and colon, and were below the sensitivity of the RIA in extracts of liver, kidney, spleen, lung, adrenal cortex and testis. Gel permeation chromatography of extracts of anterior pituitary lobe, neurointermediate lobe, hypothalamus, adrenal medulla and thyroid gland on Sephadex G-100 revealed that most of the immunoreactive (Ir)-7B2 has an apparent molecular weight of 45,000-50,000. Subsequent dissociation of this Ir-7B2 by polyacrylamide gel electrophoresis containing sodium dodecyl sulfate (SDS) yielded an Ir-7B2 with an apparent molecular weight of around 19,000. In addition, high K+ concentration (50 mM) induced the release of Ir-7B2 from cultured cells of both rat anterior pituitary and neurointermediate lobe. Finally, Ir-7B2 was detected in the neurosecretory granule fraction prepared from porcine neurointermediate lobe. These results indicate that 7B2 may be a novel secretory protein in the pituitary gland.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it