Aging of Male Germ Line Stem Cells in Mice1
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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