Pre-Sertoli Specific Gene Expression Profiling Reveals Differential Expression of Ppt1 and Brd3 Genes Within the Mouse Genital Ridge at the Time of Sex Determination1
Bibliographic record
Abstract
In mammals, testis determination is initiated when the SRY gene is expressed in pre-Sertoli cells of the undifferentiated genital ridge. SRY directs the differentiation of these cells into Sertoli cells and initiates the testis differentiation pathway via currently ill-defined mechanisms. Because Sertoli cells are the first somatic cells to differentiate within the developing testis, it is likely that the signals for orchestrating testis determination are expressed within pre-Sertoli cells. We have previously generated a transgenic mouse line that expresses green fluorescent protein under the control of the pig SRY promoter, thus marking pre-Sertoli cells via fluorescence. We have now used suppression-subtractive hybridization (SSH) to construct a normalized cDNA library derived from fluorescence-activated cell sorting (FACS) purified pre-Sertoli cells taken from 12.0 to 12.5 days postcoitum (dpc) fetal transgenic mouse testes. A total of 35 candidate cDNAs for known genes were identified. Detection of Sf1, a gene known for its role in sex determination as well as Vanin-1, Vcp1, Sparc, and Aldh3a1, four genes previously identified in differential screens as gene overexpressed in developing testis compared with ovary, support the biological validity of our experimental model. Whole-mount in situ hybridization was performed on the 35 candidate genes for qualitative differential expression between male and female genital ridges; six were upregulated in the testis and one was upregulated in the ovary. The expression pattern of two genes, Ppt1 and Brd3, were examined in further detail. We conclude that combining transgenically marked fluorescent cell populations with differential expression screening is useful for cell expression profiling in developmental systems such as sex determination and differentiation.
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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) | 0.001 | 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".