75 RABBIT NUCLEAR TRANSFER WITH CULTURED SOMATIC CELLS
Bibliographic record
Abstract
Cloned rabbits have been obtained by somatic cell nuclear transfer (SCNT) only with fresh, non-cultured cumulus cells (Chesne et al. 2002 Nat. Biotechnol. 20, 366–369). For the purpose of generating transgenic animals by SCNT, donor cells must be cultured and modified prior to use as nuclear donors. The objective of this study was to optimize the SCNT procedure using cultured cumulus or fibroblast cells. MII oocytes were harvested from superovulated Zika rabbits, and maternal chromosomes were removed by demecolcine-assisted enucleation (Yin et al. 2002 Biol. Reprod. 67, 442–446). Two types of somatic cells originating from Ali/Bass rabbits were used as nuclear donors: cumulus cells collected from in vivo-matured oocytes and cultured for 1–5 passages, and primary fetal fibroblasts obtained from Day 16 fetuses and grown to confluence or starved for 4–5 days. Somatic donor cells and recipient cytoplasts were fused with 2 electric pulses (1.95 kV/cm, 25 µs each, 1 s interval). Twenty to 40 min after fusion, cloned embryos were activated first with the same electropulses as for fusion, and then immediately followed by 1 h incubation in 2 mM 6-dimethylaminopurine and 5 µg/mL cytochalasin B in culture medium (B2 medium supplemented with 10% FCS). Cloned embryos were either transferred at the 2- and 4-cell stage to asynchronized recipients or cultured in vitro for 6 days. Data were compared using chi-square test, and differences were considered significant when P < 0.05. Our results demonstrate that cloned rabbits can be produced by SCNT with cultured cells but the efficiency of this technique is still very low irrespective of the type of donor cells. Table 1. Development of cloned embryos derived from somatic cells This research was supported by the Therapeutic Human Polyclonals, Inc.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.020 |
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".