305 OPTIMIZING DONOR AND RECIPIENT FACTORS IN XENOGRAFTING OF TESTIS TISSUE
Bibliographic record
Abstract
Grafting of donor mammalian testis tissue into recipient mice allows completion of spermatogenesis in the grafted tissue and therefore can serve as a new option for preservation of male germ line. For testis tissue xenografting, castrated male nude mice typically serve as recipients, each receiving 8 testis tissue fragments; however, no study has comprehensively investigated donor and recipient factors. The objective of this study was to determine the effects of strain of immunodeficient recipient mouse (nude v. SCID), gonadal status (intact v. gonadectomized), and gender (male v. female) on the outcome of testis tissue xenografting. A secondary objective was to determine the optimal number of testis tissue fragments per mouse most suitable for xenografting. Testis parenchyma from newborn piglets were cut into small fragments (5 mg each) and grafted under the back skin of different groups of immunodeficient mice. In Experiment 1, 8 groups of mice (n = 7/group) served as recipients: castrated male nude, intact male nude, ovariectomized female nude, intact female nude, castrated male SCID, intact male SCID, ovariectomized female SCID, and intact female SCID. In Experiment 2, 4 groups of mice (n = 10/group) served as recipients of 2, 4, 8, or 16 testis tissue fragments per mouse. Recipient mice were sacrificed 8 months after grafting and the weight of the grafts and vesicular glands (male mice) were compared among groups by analysis of variance. In Experiment 1, mouse gonadal status (intact v. gonadectomized) did not affect the total graft weight (P > 0.05), but both the recipient mouse strain (nude v. SCID) and gender (male v. female) affected the total graft weight (2460 ± 320.9, 1420 ± 290.0, 758 ± 156.7, and 2780 ± 297.4, mean ± SEM, P < 0.0001 for SCID, nude, female, and male mice, respectively). In Experiment 2, the total graft weight was highest in the group of mice receiving 8 testis tissue fragments (192 ± 76.1, 695 ± 96.5, 2443 ± 338.8, and 1458 ± 305.4, mean ± SEM, P < 0.0001 for 2, 4, 8, or 16 fragment groups, respectively). These results collectively indicate that male SCID mice receiving 8 testis tissue fragments provide optimized conditions for the recovery of largest grafts. Research was supported by grants from the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Saskatchewan Health Research Foundation (SHRF) to A. Honaramooz and scholarships from the Western College of Veterinary Medicine and the International Peace Scholarship to S. Abbasi.
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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 | 0.000 | 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 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".