Survey of gene, lncRNA and transposon transcription patterns in four mouse organs highlights shared and organ-specific sex-biased regulation
Bibliographic record
Abstract
BACKGROUND: Sex-biased gene regulation is the basis of sexual dimorphism in phenotypes and has been studied across different cell types and different developmental stages. However, sex-biased expression of transposable elements (TEs), which represent nearly half of the mammalian genome and have the potential of influencing genome integrity and regulation, remains underexplored. RESULTS: We report a survey of gene, lncRNA, and TE expression in four organs from mice with different combinations of gonadal and genetic sex. The data show remarkable variability among organs with respect to the impact of gonadal sex on transcription with the strongest effects observed in the liver. In contrast, the X-chromosome dosage alone had a modest influence on sex-biased transcription across organs, albeit interaction between X-dosage and gonadal sex cannot be ruled out. The presence of the Y-chromosome influences TE, but not gene or lncRNA, expression in the liver. Notably, 90% of sex-biased TEs (sDETEs) reside in clusters. Moreover, 54% of these clusters overlap or reside less than 100 kb from sex-biased genes or lncRNAs, share the same sex bias, and also have higher expression levels than sDETE clusters that do not co-localize with other types of sex-biased transcripts. We test the heterochromatic sink hypothesis that predicts higher expression of TEs in XX individuals finding no evidence to support it. CONCLUSIONS: Our data show that sex-biased expression of TEs varies among organs with the highest numbers of sDETEs found in the liver following trends observed for genes and lncRNAs. It is enhanced by proximity to other types of sex-biased transcripts.
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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".