Isolation, culture and characterisation of somatic cells derived from semen and milk of endangered sheep and eland antelope
Bibliographic record
Abstract
Semen and milk are potential sources of somatic cells for genome banks. In the present study, we cultured and characterised cells from: (1) cooled sheep milk; (2) fresh, cooled and frozen-thawed semen from Gulf Coast native (GCN) sheep (Ovis aries); and (3) fresh eland (Taurotragus oryx) semen. Cells attached to the culture surface from fresh (29%), cooled (43%) and slow-frozen (1 degrees C/min; 14%) ram semen, whereas no attachment occurred in the fast-frozen (10 degrees C/min) group. Proliferation occurred in fresh (50%) and cooled (100%) groups, but no cells proliferated after passage 1 (P1). Eland semen yielded cell lines (100%) that were cryopreserved at P1. In samples from GCN and cross-bred milk, cell attachment (83% and 95%, respectively) and proliferation (60% and 37%, respectively) were observed. Immunocytochemical detection of cytokeratin indicated an epithelial origin of semen-derived cells, whereas milk yielded either fibroblasts, epithelial or a mixture of cell types. Deoxyribonucleic acid microsatellite analysis using cattle-derived markers confirmed that eland cells were from the semen donor. Eland epithelial cells were transferred into eland oocytes and 12 (71%), six (35%) and two (12%) embryos cleaved and developed to morulae or blastocyst stages, respectively. In conclusion, we have developed a technique for obtaining somatic cells from semen. We have also demonstrated that semen-derived cells can serve as karyoplast donors for nuclear transfer.
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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) | 0.000 | 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 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".