Transomic analysis reveals DNA methylation and transcription factor roles in obese liver protein expression
Bibliographic record
Abstract
Obesity impairs hepatic functions through abnormal functional protein expression, potentially through DNA methylation, which suppresses gene expression, and changes in transcription factors (TFs) expression. However, the specific protein expression changes associated with DNA methylation in the obese liver remain unclear. To dissect the relative association of DNA methylome and TF-binding with protein expression changes in the obese liver, we used a trans-omic integration approach combining DNA methylome, transcriptome, proteome, and TF-binding data for the livers of wild-type (WT) and obese (ob/ob) mice. We found that gene and protein expression changes were more strongly associated with TF expression changes than with changes in DNA methylation in promoter region. However, decreased protein expression of the complement and coagulation system in obesity was specifically associated with increased DNA methylation together with decreased expression of TF Hnf4a. Our study highlights abnormal protein expression specifically associated with DNA methylation and TF expression changes in obesity.
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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".