Homing Efficiency and Proliferation Kinetics of Male Germ Line Stem Cells Following Transplantation in Mice1
Bibliographic record
Abstract
Stem cells in the male germ line (spermatogonial stem cells [SSCs]) are an important target for male fertility restoration and germ line gene modification. To establish a model system to study the biology and the applications of SSCs in mice, I used a sequential transplantation strategy to analyze the process by which SSCs colonize the stem cell niche after transplantation and to determine the efficiency of the process (homing efficiency). I further analyzed the proliferation kinetics of SSCs after colonization. The number of SSCs gradually decreased during the homing process, and only 12% of SSCs successfully colonized the niche on Day 7 after transplantation, but the number of SSCs increased by Day 14. Thus, homing efficiency of adult mouse SSCs is 12%. These results indicate that SSCs are rapidly lost upon transplantation and require approximately 1 wk to settle into their niches before initiating expansion. Using this SSC homing efficiency, I calculated that approximately 3000 SSCs exist in one normal adult testis, representing approximately 0.01% of total testis cells. Between 7 days and 1 mo after transplantation, SSCs proliferated 7.5-fold. However, they did not significantly proliferate thereafter until 2 mo, and only 8 SSCs supported one colony of donor-derived spermatogenesis from 1 to 2 mo. These results suggest that self-renewal and differentiation of SSCs are strictly regulated in coordination with the progress of an entire unit of regenerating spermatogenesis.
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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".