Dynamic variation in allele-specific gene expression of Paraoxonase-1 in murine and human tissues
Bibliographic record
Abstract
Differential allelic expression has been shown to be common in mice, humans and maize, and variability in the expression of polymorphic alleles has been associated with human disease. Here, we describe the differential expression pattern of Paraoxonase-1, a gene involved in lipid metabolism and implicated in the formation of atherosclerotic lesions. We measured the expression of the murine Paraoxonase-1 gene (Pon1) in livers at different stages of embryonic development using F1 hybrid crosses and quantified the transcriptional level of both parental alleles. Using human foetal tissues, we analysed the expression of the human orthologue (PON1) and found monoallelic or preferential allelic expression in 6/7 and 4/4 samples from liver and pancreas, respectively. We observed that Pon1 does not show a parent-of-origin preference in its allelic expression, but has dramatic variations in allele-specific expression occurring throughout development. This study has important repercussions in the analysis of haplotypes at disease loci, since it implies that the expression of polymorphic alleles can be unequal and dynamic.
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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 | 0.001 | 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".