A Polymorphic Form of Steroidogenic Factor-1 Is Associated with Adrenocorticotropin Resistance in Y1 Mouse Adrenocortical Tumor Cell Mutants
Bibliographic record
Abstract
ACTH resistance in mutant derivatives of the Y1 mouse adrenocortical tumor cell line results from a defect that affects the activity of steroidogenic factor-1 (SF1), thereby preventing the expression of the melanocortin-2 receptor. In this report, we show that the SF1 genes in ACTH-resistant mutants differ from the gene in ACTH-responsive Y1 cells by two base changes-one that changes an Ala to Ser at codon 172, and one in the third position of codon 3 that does not affect the protein sequence. Furthermore, several of the mutants contain multiple copies of this alternate SF1 gene (SF1(S172)) on acentric chromosome fragments. The SF1(S172) allele represents a polymorphism rather than a spontaneous mutation because the two SF1 alleles can be traced to the hybrid mouse strain (C57L/J x A/HeJ) from which the original adrenal tumor was derived. The SF1(A172) allele also is found in C57Bl/6J and C57Bl/10J mice, whereas the SF1(S172) allele also is found in C3H/HeJ and DBA/2J mice. The two forms of SF1 had only modest differences in activity suggesting that the SF1 polymorphism per se is not directly responsible for ACTH resistance. Our results indicate that the SF1(S172) allele is a marker of ACTH resistance in this family of adrenocortical tumor cells.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".