Transgene Expression of Green Fluorescent Protein and Germ Line Transmission in Cloned Calves Derived from In Vitro-Transfected Somatic Cells1
Bibliographic record
Abstract
In vitro transfection of cultured cells combined with nuclear transfer currently is the most effective procedure to produce transgenic livestock. In the present study, bovine primary fetal fibroblasts were transfected with a green fluorescent protein (GFP)-reporter transgene and used as nuclear donor cells in oocyte reconstructions. Because cell synchronization protocols are less effective after transfection, activated oocytes may be more suitable as hosts for nuclear transfer. To examine the role of host cytoplasm on transgene expression and developmental outcome, GFP-expressing fibroblasts were fused to oocytes reconstructed either before (metaphase) or after (telophase) activation. Expression of GFP was examined during early embryogenesis, in tissues of cloned calves, and again during embryogenesis, after passage through germ line using semen from the transgenic cloned offspring. Regardless of the kind of host cytoplasm used, GFP became detectable at the 8- to 16-cell stage, approximately 80 h after reconstruction, and remained positive at all later stages. After birth, although cloned calves obtained through both procedures expressed GFP in all tissues examined, expression levels varied both between tissues and between cells within the same tissue, indicating a partial shutdown of GFP expression during cellular differentiation. Moreover, nonexpressing fibroblasts derived from transgenic offspring were unable to direct GFP expression after nuclear transfer and development to the blastocyst stage, suggesting an irreversible silencing of transgenes. Nonetheless, GFP was expressed in approximately half the blastocysts obtained with sperm from a transgenic clone, confirming transmission of the transgene through the germ line.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".