ArticleFrontiers in genetics2019
Epigenetic and Transcriptomic Characterization of Pure Adipocyte Fractions From Obese Pigs Identifies Candidate Pathways Controlling Metabolism.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Tissue-specific epigenetic regulation of fat metabolism in pigs through integrated analysis of DNA methylation and gene expression networks.Journal of animal science and biotechnology · 2026Article
- Integrated analysis of DNA methylome and transcriptome of the backfat and longissimus dorsi muscle of Chinese-European hybrid pigs.BMC genomics · 2026Article
- Evidence of early genomic selection in Holstein Friesian across African and European ecosystems.BMC genomics · 2025Article
- Article
- SNP discovery and association study for growth, fatness and meat quality traits in Iberian crossbred pigs.Scientific reports · 2022Article
- Acetate rescues defective brain-adipose metabolic network in obese Wistar rats by modulation of peroxisome proliferator-activated receptor-γ.Scientific reports · 2021Article
- Large-scale transcriptome sequencing in broiler chickens to identify candidate genes for breast muscle weight and intramuscular fat content.Genetics, selection, evolution : GSE · 2021Article
- Diet-Dependent Changes of the DNA Methylome Using a Göttingen Minipig Model for Obesity.Frontiers in genetics · 2021Article
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15 authors.
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Abstract
Reprogramming of adipocyte function in obesity is implicated in metabolic disorders like type 2 diabetes. Here, we used the pig, an animal model sharing many physiological and pathophysiological similarities with humans, to perform in-depth epigenomic and transcriptomic characterization of pure adipocyte fractions. Using a combined DNA methylation capture sequencing and Reduced Representation bisulfite sequencing (RRBS) strategy in 11 lean and 12 obese pigs, we identified in 3529 differentially methylated regions (DMRs) located at close proximity to-, or within genes in the adipocytes. By sequencing of the transcriptome from the same fraction of isolated adipocytes, we identified 276 differentially expressed transcripts with at least one or more DMR. These transcripts were over-represented in gene pathways related to MAPK, metabolic and insulin signaling. Using a candidate gene approach, we further characterized 13 genes potentially regulated by DNA methylation and identified putative transcription factor binding sites that could be affected by the differential methylation in obesity. Our data constitute a valuable resource for further investigations aiming to delineate the epigenetic etiology of metabolic disorders.
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