COLONY FORMATION ABILITY OF FROZEN THAWED SPERMATOGONIAL STEM CELL FROM ADULT MOUSE
Bibliographic record
Abstract
Background: The basis of spermatogenesis is the spermatogonial stem cells (SSCs). The concentration of SSCs is very small. However, a system that supports the proliferation and maintenance of SSCs in vitro could be used to preserve and expand SSCs numbers as well as increase success in transplantation. It is a new avenue to restore spermatogenesis in azoospermia subjects. Objective: Proliferation and enhancement of frozen-thawed SSCs numbers during in vitro culture. Materials and Methods: Both Sertoli and spermatogonial cells were isolated from adult mouse testes. Frozen-thawed spermatogonial cells were cultured in two groups: simple culture (Experimental 1) and co culture with Sertoli cells (Experimental 2). Also, Fresh cells were considered as control groups: simple culture (control1) and co culture with Sertoli cells (control 2).Assay of the spermatogonial-cell-derived colonies was carried out at the end of each week. Results: Results indicated that the viability rate of the frozen cells after thawing (68.4±10.2%) was influenced by cryopreservation procedure significantly (p =0.001). In addition, the number of the colonies and their diameters in the co-culture system with fresh cells (25.1±5.2 and 205.8±50 μm, respectively) were more than other groups and the differences were significant (p<0.001). Number of the colonies and their diameters in experimental 1(9.5±4.3 and 124±35.9 μm, respectively), experimental 2 (15.6±3.5 and 157.6±41.9μm, respectively) groups were better than control 1 group (3.1±2.2 and 87.5±30.6μm, respectively) and the differences were significant (p<0.001). Conclusion: We demonstrated that co-culture system with Sertoli cells can increase in vitro colony formation of adult fresh and frozen-thawed spermatogonial cells in mouse.
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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 | 0.000 | 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) | 0.001 | 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".