Parameters affecting efficiency of in ovo electroporation of the avian neural tube and crest
Bibliographic record
Abstract
BACKGROUND: Many variations in avian in ovo transfection of the neural tube/crest have been reported, but never compared quantitatively. RESULTS: Genome integrating pT2K-CAGGS-GFP and pCAGGS-T2TP transposase plasmids were co-electroporated into quail E2 embryo trunk neural tube and the proportion of GFP-expressing neural cells was counted 1 and 7 days later. Electroporation efficiency increased with plasmid concentration and pulse number but plateaued at, respectively, above 1.25 µg/µL and 3 pulses. Bilateral electroporation transfected more cells than unilateral but less than that anticipated by doubling the unilateral treatment. Holding the concentration of GFP plasmid constant and varying the transposase plasmid concentration revealed an optimum ratio of, in this case, 4:1 (1.2 µg/µL:0.3 µg/µL). Leaving transfected embryos to E9 confirmed that expression was maintained in vivo with the transposase system, but declined with non-integrated plasmid. Transfection of neural crest cells was low if electroporated less than 6-8 hr before emigration. We propose this indicates loss of epithelial integrity well prior to exit. We suggest this event be termed epithelio-mesenchymal transition sensu stricto, whereas the term delamination be reserved for the later emigration from the neural epithelium. CONCLUSIONS: Co-electroporation in ovo must take into account plasmid(s) concentration and ratio, pulse number, pulse directionality, and timing.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".