Aging of Male Germ Line Stem Cells in Mice1
Bibliographic record
Abstract
In the present study, we investigated the effect of aging on spermatogonial stem cells (SSCs) and on the testicular somatic environment in ROSA26 mice. First, we examined testis weights at 2 mo, 6 mo, 1 yr, and 2 yr of age. At 1 and 2 yr, bilateral atrophied testes were observed in 50% and 75% of the mice, respectively; the rest of the mice had testis weights similar to those of young mice. Next, we evaluated the number and the activity of aged SSCs using spermatogonial transplantation. Numbers of SSCs in atrophied testes decreased in an age-dependent manner to as low as 1/60 of those in testes of young mice. Numbers of SSCs in nonregressed testes were similar regardless of age. The colony length, which is indicative of the potential of SSCs to regenerate spermatogenesis, was similar with donor cells from atrophied testes of 1-yr-old mice and those from testes of young mice, suggesting that SSCs remaining in 1-yr atrophied testes were functionally intact. Colonies arising from SSCs derived from 2-yr atrophied testes were significantly shorter, however, indicating that both SSC numbers and activity declined with age. Finally, we transplanted donor cells from young animals into 1- and 2-yr atrophied testes. Although the weight of 2-yr testes did not change after transplantation, that of 1-yr testes increased significantly, indicating that 1-yr, but not 2-yr, atrophied testes are permissive for regeneration of spermatogenesis by SSCs from young mouse testes. These results demonstrate that both SSCs and somatic environment in the testis are involved in the aging process.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".