SF1 POLYMORPHISMS IN THE MOUSE AND STEROIDOGENIC POTENTIAL
Bibliographic record
Abstract
ACTH-resistance in four mutant derivatives of a mouse adrenocortical tumor cell line results from a defect that reduces the activity of steroidogenic factor-1 (SF1) thereby preventing expression of the ACTH receptor and other SF1-dependent genes. The SF1 genes from these mutants contain a sequence difference that changes an Ala to Ser at codon 172. Steroidogenic factor-1(S172) represents a polymorphism rather than a spontaneous mutation since the two forms of SF1, SF1(A172), and SF1(S172), can be traced to the hybrid mouse strain (C57L/J x A/HeJ) from which the original adrenal tumor was derived. The SF1(S172) allele is amplified in three of the four mutant clones together with the neighboring genes germ cell nuclear factor and LIM homeobox2. The two forms of SF1 had only modest differences in transcriptional activity in reporter gene assays, suggesting that the SF1 polymorphism per se is not directly responsible for the loss of mc2r expression. Rather, ACTH resistance in this family of adrenocortical tumor cell mutants may be due to a closely linked gene on the SF1(S172) allele. Mouse strains with reportedly high steroidogenic capacity (C57Bl/6J, C57Bl/10J) also have the SF1(A172) allele while mouse strains with low steroidogenic capacity (C3H/HeJ, DBA/2J) have the SF1(S172) allele. These latter observations suggest that the two SF1 alleles also may be markers of steroidogenic potential among mouse strains.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".