New porcine microRNA genes found by homology search
Bibliographic record
Abstract
MicroRNAs (miRNAs) repress target genes at the post-transcriptional level and play important roles in development and cell lineage decisions. In vertebrates, however, both the targets of miRNAs and their expression profiles during development are poorly understood. Thus far, 326 human miRNAs, 249 mouse miRNAs, and 195 rat miRNAs have been identified. Even though the pig is a promising animal model in regenerative biology, as well as in livestock production, only 54 pig miRNAs have been identified. Here, we report the identification of 58 new pig miRNAs. We conducted a homology search using either human or mouse miRNAs genes queried against the pig genome. The new pig miRNAs consist of 23 miRNAs showing homology to mouse, 21 showing homology to human, and 16 showing homology to both human and mouse. The expression profile of 6 miRNAs were analyzed by Northern blot analysis isolated from porcine tissues: ovary, heart, kidney, liver, and pancreas.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".