Anti‐senescence effect of <i>Fat<scp>I</scp></i> gene in goat somatic cells
Bibliographic record
Abstract
The fatty acid dehydrogenase I (FatI) is able to express in mammalian cells and convert n-6 polyunsaturated fatty acids (PUFAs) to n-3 PUFAs. n-3 PUFA is an important component of the cell membrane and plays an important role in the prevention and control of a variety of human diseases. However, n-3 PUFAs cannot be endogenously synthesized by mammals because they lack the dehydrogenase that converts n-6 to n-3 PUFA. For the time being, gradually matured transgenic technology makes it possible to produce transgenic animals that are able to synthesize n-3 PUFAs by themselves. However, the transgenic technology itself may bring negative impacts. In this study, the eukaryotic expression vector pcDNA3.1-FatI was introduced into the genome of Boer goat fetal fibroblasts cultured in vitro, and the influence of biological characteristics of the fetal fibroblast was studied via overexpression of FatI. The results showed that the proliferation and apoptosis of cultured fetal fibroblast were not affected significantly by the overexpression of FatI using BrdU and TUNEL staining methods, respectively. Moreover, the overexpression of FatI significantly inhibited the senescence of somatic cells compared with enhanced green fluorescent protein (EGFP) transgenic cells (P < 0.01). Quantitative PCR revealed that the mRNA expression of P16 and P53 in the FatI transgenic cell group was significantly lower than that in the EGFP transgenic cell group (P < 0.01). In conclusion, the senescence of goat somatic cells was inhibited by the overexpression of the FatI gene.
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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 | 0.001 |
| 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 | 0.001 |
| 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".