Molecular cloning and characterization of porcine interferon-induced protein with tetratricopeptide repeats (IFIT) 5
Bibliographic record
Abstract
Zhang, J., Shao, S.-y., Li, L.-z., Liu, D. and Yang, X.-q. 2015. Molecular cloning and characterization of porcine interferon-induced protein with tetratricopeptide repeats (IFIT) 5. Can. J. Anim. Sci. 95: 551–556. Interferon-induced protein with tetratricopeptide repeats (IFIT) family members play important roles in host defense against viral infection. In the present study, the complete coding sequence (CDS) of porcine IFIT5 gene was cloned using molecular biology techniques, and the genomic structure was determined using the bioinformatic method. The porcine IFIT5 is located on chromosome 14 containing 2 exons. Quantitative real-time PCR revealed that the transcripts of IFIT5 gene were unevenly distributed in all tissues studied, including heart, bladder, liver, large intestine, spleen, small intestine, lung, kidney, stomach, muscle, and lymph. Only one synonymous single nucleotide polymorphism was found in the complete CDS except for the first five nucleotides. IFIT5 is induced by poly(I:C) in a dose- and time-dependent manner, as revealed by using dual-luciferase analysis and reverse transcription-quantitative PCR methods. Furthermore, ectopic expression of porcine IFIT5 had no effect on the activation of interferon regulatory factor 3 (IRF3) significantly (P>0.05), suggesting it might not be a regulator of IRF3 signaling pathway.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".