Identification of a molecular marker for type A spermatogonia by microarray analysis using gonadal cells from p<i>vasa</i>‐<i>GFP</i> transgenic rainbow trout (<i>Oncorhynchus mykiss</i>)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The spermatogonia of fish can be classified as being either undifferentiated type A spermatogonia or differentiated type B spermatogonia. Although type A spermatogonia, which contain spermatogonial stem cells, have been demonstrated to be a suitable material for germ cell transplantation, no molecular markers for distinguishing between type A and type B spermatogonia in fish have been developed to date. We therefore sought to develop a molecular marker for type A spermatogonia in rainbow trout. Using GFP-dependent flow cytometry (FCM), enriched fractions of type A and type B spermatogonia, testicular somatic cells, and primordial germ cells were prepared from rainbow trout possessing the green fluorescent protein (GFP) gene driven by trout vasa regulatory regions (pvasa-GFP rainbow trout). The gene-expression profiles of each cell fraction were then compared with a microarray containing cDNAs representing 16,006 genes from several salmonid species. Genes exhibiting high expression for type A spermatogonia relative to above-mentioned other types of gonadal cells were identified and subjected to RT-PCR and quatitative PCR analysis. Since only the rainbow trout notch1 homologue showed significantly high expression in the type A spermatogonia-enriched fraction, we propose that notch1 may be a useful molecular marker for type A spermatogonia. The combination of GFP-dependent FCM and microarray analysis of pvasa-GFP rainbow trout can therefore be applied to the identification of potentially useful molecular markers of germ cells in fish.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it