Clin Res Cardiol (2022). https://doi.org/10.1007/s00392-022-02002-5 |
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Function and modulation of chromatin landscape in human cardiac myocytes | ||
R. Bednarz1, P. Laurette1, K. Streckfuß-Bömeke2, R. Gilsbach1 | ||
1Institute of Cardiovascular Physiology, Goethe University, Frankfurt am Main; 2Cardiology and Pneumology, University Medicine Göttingen, Göttingen; | ||
Question: Enhancers are non-coding regulatory elements modulating target gene expression via long-range chromatin interactions. Here we decode enhancer-promoter interactions in human cardiac myocytes and show their disease association and regulatory function.
Methods: We use FACS-sorted cardiac myocyte nuclei from non-diseased human left ventricles (LV-CM) for Hi-C to detect chromatin interactions. Enhancers and gene promoters were annotated using whole genome ChIP-seq data published previously (Gilsbach et al., Nat. commun. 2018)1. Virtual 4C viewpoints were used to detect significant interactions between genes and their putative enhancers as well as overlapping disease-associated variants on a genome wide scale. The functional relevance of promoter-enhancer interactions was assessed in vitro in induced pluripotent stem cell-derived ventricular cardiac myocytes (iPSC-CM) by silencing regulatory elements using a RNA programmable nuclease-deficient Cas9 fused to a repressor domain (CRISPRi).
Results: Our deep Hi-C data (> 1.2 billion reads) of human left ventricular cardiac myocytes (LV-CM; n=3) revealed 174,742 highly significant promoter interactions (p < 1x10-8). In average, one promoter contacts 6 genomic regions. 36 % of promoter interactions overlap with promoters and 72 % overlap with enhancers. Notably, 51 % of non-coding variants associated with cardiovascular diseases contact cardiac myocyte promoters. A significant enrichment was found for strong enhancers containing genetic variants associated with cardiac arrhythmia (p = 3.2x10-3), including enhancers within the KCNJ2 locus. To show the functional relevance of disease-associated enhancers, we used CRISPRi. Remarkably, silencing of two disease-associated enhancers in iPSC-CM decreased KCNJ2 expression to 25 % and 60 % of control.
Conclusions: Our genome-wide Hi-C data provides a profound base to understand spatial genome organization in human cardiac myocytes, including promoter-enhancer interactions. The strong enrichment of cardiovascular disease-associated genetic variants within promoter-enhancer interactions underpins the disease relevance of cardiac myocyte enhancers. Representatively for KCNJ2, we show that these promoter enhancer interactions are important for gene expression homeostasis.
Key words: promoter-enhancer interactome, disease-relevant SNPs, functional interactions
References |
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https://dgk.org/kongress_programme/jt2022/aP789.html |