Selection of Genetically Modified Chicken Blastodermal Cells by Magnetic-Activated Cell Sorting
Bibliographic record
Abstract
The use of chicken blastodermal cells (CBC) in the production of transgenic chickens requires incorporation of the desired stable genetic modification into CBC. With greater proportions of stably transfected blastodermal cells in the embryo inoculum, the frequency of intermediate chimeric birds is greater. Magnetic-activated cell sorting (MACS) was evaluated as a method for enrichment of transfected CBC. This approach requires surface expression of a molecule that can be recognized by an antibody. Chicken blastodermal cells from fertilized Barred Plymouth Rock eggs were coelectroporated with pmiwZ and pMACS Kk and were sorted magnetically by expression of the mouse H-2Kk molecule on the surface of successfully transfected cells. The effectiveness of sorting was assessed using X-gal staining to detect lacZ expression from the pmiwZ plasmid. After 48 h of culture, lacZ-positive cells appeared to be enriched 1.4-fold in the MACS selected population. Cells from this enriched pool contributed to extra-embryonic and intra-embryonic tissues of 72-h White Leghorn recipient embryos with a marginal increase in levels of intra-embryonic contribution. Our demonstration that transfected, cultured, and magnetically sorted CBC maintain their ability to contribute to ectodermal and mesodermal lineages of intra-embryonic tissues illustrates the potential value of this technique for introducing genetic modifications into birds.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".