Expression patterns of cell-surface molecules on male germ line stem cells during postnatal mouse development
Bibliographic record
Abstract
Spermatogonial stem cells (SSCs) are stem cells of the male germ line. In mice, SSCs are quiescent at birth but actively proliferate during the first postnatal week, while they rarely divide in adult, suggesting an age-dependent difference in SSC characteristics. As an approach to evaluate this possibility, we studied the expression pattern of cell-surface molecules on neonatal, pup, and adult mouse SSCs. Using immunomagnetic cell sorting, testis cells were selected for the expression of alpha(6) integrin, alpha(v) integrin, c-kit receptor tyrosine kinase (Kit), or a binding subunit of glial-cell-line-derived neurotrophic factor (GDNF) receptor, GFRalpha1. Selected cells were assayed for their stem cell activity using spermatogonial transplantation. The results showed that SSCs expressed alpha(6) integrin, but not alpha(v) integrin and Kit, regardless of age. The SSC activity in pup GFRalpha1(+) cells was higher than that in adult and neonatal cells, indicating that the expression pattern of GFRalpha1 varied age-dependently. To evaluate if SSCs show an age-dependent difference in their response to GDNF, we cultured highly enriched pup and adult SSCs with GDNF: we could not observe such an age-dependent difference in vitro. In addition, we failed to immunologically detect the expression of two types of GDNF receptor signaling subunits on SSCs. These results indicate that SSCs may change the expression patterns of cell-surface molecules during postnatal development, and suggest that GDNF receptor molecules may not be abundantly or specifically expressed in the in vivo population of mouse SSCs.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".