Development of novel strategies for the isolation of piglet testis cells with a high proportion of gonocytes
Bibliographic record
Abstract
Gonocytes have germline stem cell potential and are present in the neonatal testis, comprising 5-10% of freshly isolated testis cells. Maximising the number and proportion of gonocytes among freshly isolated testis cells will greatly facilitate their subsequent purification and in vitro study and manipulation. Seven experiments were conducted to evaluate the effects of multiple factors on the efficiency of testis cell isolation from neonatal pigs. We found that the use of a lysis buffer led to elimination of erythrocytes without adversely affecting testis cell isolation. Approximately ninefold as many live cells could be harvested by enzymatic digestion of testis tissues compared with mechanical methods. Digestion with collagenase-hyaluronidase-DNase followed by trypsin resulted in the highest recovery of live cells. However, the proportion of gonocytes ( approximately 7%) did not differ between the mechanical and enzymatic methods of testis cell isolation. Pretreatment of the tissue with cold enzymes increased the recovery of live testis cells. New strategies of combining a gentle enzymatic digestion with two rounds of vortexing resulted in the isolation of testis cells with very high gonocyte proportion. The efficiency of these novel methods could be further optimised to collect testis cells with a gonocyte proportion of approximately 40%. This novel three-step testis cell isolation strategy can be completed within 1 h and can harvest approximately 17 x 10(6) live gonocytes per g testis tissue. Therefore, in addition to elucidating the effects of several factors on testis cell isolation, we developed a novel strategy for the isolation of testis cells that yielded approximately 40% gonocytes in the freshly isolated cells (i.e. four- to eight-fold higher than the proportions obtained using current strategies). This strategy has instant applications in the purification of gonocytes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".