Repression of the Human Sex Hormone-binding Globulin Gene in Sertoli Cells by Upstream Stimulatory Transcription Factors
Bibliographic record
Abstract
Expression of the sex hormone-binding globulin gene (SHBG) in the liver produces SHBG, which transports sex steroids in the blood. In rodents, the SHBG gene is also expressed in Sertoli cells giving rise to the testicular androgen-binding protein, which is secreted into the seminiferous tubule where it presumably controls testosterone action. Evidence that the SHBG gene functions in this way in the human testis is lacking, and mice containing a human SHBG transgene (shbg4) under the control of its own promoter sequence are characterized by SHBG gene expression in the liver but not in the testis. A potential cis-element, defined as footprint 4 (FP4) within the human SHBG promoter, is absent in SHBG promoters of mammals that produce the testicular androgen-binding protein, and we have produced mice harboring a shbg4 transgene in which FP4 was deleted to evaluate its functional significance. Remarkably, these mice express the modified human SHBG transgene in the testis as well as the liver. Human SHBG transcripts were found within their Sertoli cells, primary cultures of which secrete human SHBG, and this was increased by treatment with follicle-stimulating hormone, retinoic acid, and estradiol but not testosterone. We have also found that the upstream stimulatory factors (USF-1 and USF-2) bind FP4 in vitro by electromobility shift assay of Sertoli cell nuclear extracts and in vivo by chromatin immunoprecipitation assay and conclude that USF transcription factors repress human SHBG transcription in Sertoli cells through an interaction with FP4 within its proximal promoter.
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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) | 0.002 | 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".