ArticleNucleic acids research2024
Genetic variation is a key determinant of chromatin accessibility and drives differences in the regulatory landscape of C57BL/6J and 129S1/SvImJ mice.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- ELF5-Mediated Enhancer-Promoter Interaction Regulates LALBA Expression in Ovine Mammary Gland.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Metabolite-driven remodeling of hepatic lipid metabolism by the plasticizer di-isononyl phthalate.Molecular metabolism · 2026Article
- DECODE: deep learning-based common deconvolution framework for various omics data.Nature methods · 2026Article
- Genetic variation shapes the chromatin accessibility landscape and transcriptional responses in mouse adipose tissue.PLoS genetics · 2026Article
- In vivo base editing rescues ADPKD in a humanized mouse model.Nature communications · 2025Article
- The Spatial Transcriptional Activity of Hepatic TCF7L2 Regulates Zonated Metabolic Pathways that Contribute to Liver Fibrosis.Nature communications · 2025Article
- Chromatin accessibility: biological functions, molecular mechanisms and therapeutic application.Signal transduction and targeted therapy · 2024Review
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8 authors at 1 institution in 1 country.
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Abstract
Most common genetic variants associated with disease are located in non-coding regions of the genome. One mechanism by which they function is through altering transcription factor (TF) binding. In this study, we explore how genetic variation is connected to differences in the regulatory landscape of livers from C57BL/6J and 129S1/SvImJ mice fed either chow or a high-fat diet. To identify sites where regulatory variation affects TF binding and nearby gene expression, we employed an integrative analysis of H3K27ac ChIP-seq (active enhancers), ATAC-seq (chromatin accessibility) and RNA-seq (gene expression). We show that, across all these assays, the genetically driven (i.e. strain-specific) differences in the regulatory landscape are more pronounced than those modified by diet. Most notably, our analysis revealed that differentially accessible regions (DARs, N = 29635, FDR < 0.01 and fold change > 50%) are almost always strain-specific and enriched with genetic variation. Moreover, proximal DARs are highly correlated with differentially expressed genes. We also show that TF binding is affected by genetic variation, which we validate experimentally using ChIP-seq for TCF7L2 and CTCF. This study provides detailed insights into how non-coding genetic variation alters the gene regulatory landscape, and demonstrates how this can be used to study the regulatory variation influencing TF binding.
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