Bibliographic record
Abstract
The assay was aimed to study the function of Lin28 gene of sheep,in this study,according to the Lin28 gene mRNA sequence of mice,pigs,cattles and human in GenBank,the degenerate primer was designed.Total RNA was extracted by Trizol from intestine of 100 dsheep embro,and CDS sequence of the gene was amplified by RT-PCR using the primer.Using a series of biosoftware such as DNAMAN,BioEdit and NCBI BLASTn,PlantsP,ScanProsite online and so on,we analyzed the homologies between nucleotide and deduced amino acid sequences,constructed phylogenetic tree,analyzed protein functional domains and deduced three-dimensional structure of amino acid sequence.The results showed that the sequence of sheep Lin28's CDS including stop codon,was in a length of 630 bp,encoded 209 amino acids.Analysis of homology showed that sheep Lin28 gene also shared 53.8%,55.2%,70.2%,88.3%,88.7%,89.2%,89.5%,90.5%,95.9% and 98.9% nucleotide homologies and 76.5%,67.9%,93.2%,99.3%,97.7%,99.3%,99.3%,98.5%,99.3% and 100.0% amino acid identities with Xenopus laevis,Danio rerio,Gallus gallus,Bos taurus,Equus caballus,Felis catus,Sus scrofa,Homo sapiens,Rattus norvegicus and Mus musculus,respectively.Two zinc finger domains and one cold shock domain could be found by bioinformatics analyzing.The successful cloning of Lin28 revealed that the gene in the structure and function was very conservative and helpful to study gene function and its role in somatic reprogramming in future.
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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 | 0.000 |
| 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".