Stable transmission and transcription of newfoundland ocean pout type III fish antifreeze protein (AFP) gene in transgenic mice and hypothermic storage of transgenic ovary and testis
Bibliographic record
Abstract
Here we describe the generation of transgenic mice carrying type III fish antifreeze protein (AFP) gene and evaluate whether AFP type III protects transgenic mouse ovaries and testes from hypothermic storage. AFPs exist in many different organisms. In fish, AFPs protect the host from freezing at temperatures below the colligative freezing point by adsorbing to the surface of nucleating ice crystals and inhibiting their growth. The transgenic expression of AFP holds great promise for conferring freeze-resistant plant and animal species. AFP also exhibits a potential for the cryopreservation of tissues and cells. In this study, we have generated 42 founder mice harboring the Newfoundland ocean pout (OP5A) type III AFP transgene and established one transgenic line (the line #6). This study demonstrated that AFP gene construct has been stably transmitted to the mouse progeny in the F3 generations in the line #6. Furthermore, the presence of AFP transcripts was confirmed by RT-PCR analysis on cDNAs from liver, kidney, ovarian, and testis tissues of the mouse from F3 generation in this line. These results indicate that ocean pout type III AFP gene could be integrated and transmitted to the next generation and stably transcribed in transgenic mice. In histological analysis of testis and ovarian tissues of nontransgenic control and AFP transgenic mice it has been shown that both tissues of AFP transgenic mice were protected from hypothermic storage (+4 degrees C). The AFP III transgenic mice obtained for the first time in this study would be useful for investigating the biological functions of AFP in mammalian systems and also its potential role in cryopreservation.
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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 | 0.000 | 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".