Cloning and <i>in vitro</i> function analysis of codon‐optimized <i>FatI</i> gene
Bibliographic record
Abstract
Currently, n-3 polyunsaturated fatty acids (n-3 PUFAs) have attracted great attention because of their biological significance to organisms. In addition, PUFAs show an obvious impact on prevention and treatment of various diseases. Because n-3 PUFAs cannot be endogenously synthesized by mammals, mammals have to rely on a dietary supplement for sufficient supply. The finding and application of the fatty acid dehydrogenase I (FatI) gene are expected to change the current situation because it can convert n-6 polyunsaturated fatty acids (n-6 PUFAs) to n-3 PUFAs. Meanwhile, the gradual maturation of transgenic technology makes it possible to produce transgenic animals that can synthesize n-3 PUFAs by themselves. In this study, the DNA coding sequence of FatI was synthesized by a chemical method after codon optimization according to the mammal's codon bias. The synthesized DNA sequence was introduced into Boer goat fetal fibroblasts by the constructed recombinant eukaryotic expression vector pcDNA3.1(+)-FatI. Boer goat fetal fibroblasts were transfected by electroporation, and the stable transfected cell lines were obtained by G418 selection. Genomic DNA PCR and Southern blot were applied to verify that the foreign gene FatI was integrated into the genome of the Boer goat fibroblasts. RT-PCR results showed the expression of FatI gene at the mRNA level. The fatty acid profile of cells carrying the FatI gene revealed an increase in total n-3 PUFAs (from 0.61 to 0.95), but a decrease in n-6 PUFAs (from 10.34 to 9.85), resulting in a remarkable increase in the n-3:n-6 ratio (from 0.059 to 0.096). The n-3:n-6 ratio had a 63.49 percent increase, which is a precursor of the response of n-3 desaturase activity of the FatI gene. The study may provide a practical tool for producing transgenic animals that can produce n-3 PUFAs by themselves, and we hope that the application will lay the foundation for animals producing n-3 PUFAs, which will benefit human nutrition and wellness.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".