Genomic structure, chromosomal localization and expression profile of a porcine long non‐coding RNA isolated from long SAGE libraries
Bibliographic record
Abstract
Long non-coding RNA (long ncRNA) is a novel class of ncRNA that may be involved in critical cellular processes. A considerable number of mammalian long ncRNAs have now been isolated but only a small number of these nucleic acids have been functionally well characterized. In this study, to determine the structure, regulation and function of long ncRNA in pigs, TncRNA was isolated from this mammal and its potential function during pig foetus development was identified. We anticipated that this would provide new insights into functional genomic studies in the pig. Using LongSAGE libraries generated from Chinese indigenous Tongcheng and Landrace pigs at three prenatal stages, a novel porcine long ncRNA was identified, TncRNA, which was found to be differentially expressed during myogenesis. The full-length cDNA for this gene is 3409 bp, and it harbours a typical polyadenylation signal sequence located 18 bp upstream from the 3' poly (A) tail. Genomic sequence analysis showed that pig TncRNA is alternatively spliced and several transcripts were detected. Using the INRA-University of Minnesota porcine radiation hybrid panel, TncRNA was assigned to SSC2 and found to be closely linked to the microsatellite marker SW256. Porcine TncRNA was found to be expressed in all tissues examined but in variable amounts. Comparisons between the expression profiles of TncRNA at different development stages in Tongcheng and Landrace pigs revealed up-regulation of this molecule in prenatal skeletal muscle, and differential expression in 90-day-old foetal skeletal muscle between these two pig breeds. This is the first report to describe a long ncRNA in pig. Moreover, the distinct expression pattern and structure of porcine TncRNA suggest that it performs complex and critical functions during foetal development.
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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) | 0.001 | 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".