Adrenocorticotropin regulation of steroidogenic acute regulatory protein
Bibliographic record
Abstract
We studied the effect of the adrenocorticotropin hormone (ACTH) on the expression of the steroidogenic acute regulatory protein (StAR) in vivo in rat and hamster adrenals and also in transfection experiments using COS-1 cells. In vivo, ACTH increased the level of StAR mRNA within 30-60 minutes and also increased the quantity of StAR, but with a 2-3-hour delay. ACTH induced the formation of many acidic StAR species as analyzed by two-dimensional gel electrophoresis and immunoblotting. In the transfection experiments, (Bu)(2)-cAMP also induced the formation of many acidic species for the hamster StAR; in COS-1 cells, StAR is phosphorylated mainly on serine (S) residue(s). When alanine (A) was substituted for serine, S13A, S185A, and S194A mutants had decreased StAR activity compared to wildtype, thus determining the importance of these amino acid residues in StAR action. The full-length WT, N46-truncated StAR lacking its mitochondrial import sequence, and N46-S194A had similar activities, whereas N46-S185A had completely lost its activity. Our results suggest that S194, but not S185, functions in association with the mitochondrial import sequence for the initiation of StAR activation. Further studies showed that S185 is implicated in salt bridge stability, not in StAR phosphorylation, suggesting its importance for StAR folding. Thermodynamic calculations of the hamster StAR homology model based on MLN64 show that StAR can partially unfold to bind cholesterol and serve as a rapid transfer mechanism for eventual translocation into mitochondria. This is supportive of a StAR functioning either outside the mitochondria or in the mitochondrial intermembrane space.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".