Optimal isolation, culture, and in vitro propagation of spermatogonial stem cells in Huaixiang chicken
Bibliographic record
Abstract
Spermatogonial stem cells (SSCs) comprise the foundation of spermatogenesis and hence have great potential for fertility preservation of rare or endangered species and the development of transgenic animals and birds. Yet, developing optimal conditions for the isolation, culture, and maintenance of SSCs in vitro remains challenging, especially for chicken. The objectives of this study were to (1) find the optimal age for SSC isolation in Huaixiang chicken, (2) develop efficient protocols for the isolation, (3) enrichment, and (4) culture of isolated SSCs. In the present study, we first compared the efficiency of SSC isolation using 11 different age groups (8-79 days of age) of Huaixiang chicken. We found that the testes of 21-day-old chicken yielded the highest cell viability. Next, we compared two different enzymatic combinations for isolating SSCs and found that 0.125% trypsin and 0.02 g/L EDTA supported the highest number and viability of SSCs. This was followed by investigating optimal conditions for the enrichment of SSCs, where we observed that differential plating had the highest enrichment efficiency compared to the Percoll gradient and magnetic-activated cell sorting methods. Lastly, to find the optimal culture conditions of SSCs, we compared adding different concentrations of foetal bovine serum (FBS; 2%, 5%, 7%, and 10%) and different concentrations of GDNF, bFGF, or LIF (5, 10, 20, or 30 ng/mL). We found that a combination of 2% FBS and individual growth factors, including GDNF (20 ng/mL), bFGF (30 ng/mL), or LIF (5 ng/mL), best supported the proliferation and colony formation of SSCs. In conclusion, SSCs can be optimally isolated through enzymatic digestion from testes of 21-day-old chicken, followed by enrichment using differential plating. Furthermore, adding 2% FBS and optimized concentrations of GFNF, bFGF, or LIF in the culture promotes the proliferation of chicken SSCs.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".