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Global chromatin landscapes identify candidate noncoding modifiers of cardiac rhythm
Samadrita Bhattacharyya, … , Ralf Kittler, Nikhil V. Munshi
Samadrita Bhattacharyya, … , Ralf Kittler, Nikhil V. Munshi
Published December 1, 2022
Citation Information: J Clin Invest. 2023;133(3):e153635. https://doi.org/10.1172/JCI153635.
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Research Article Cardiology

Global chromatin landscapes identify candidate noncoding modifiers of cardiac rhythm

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Abstract

Comprehensive cis-regulatory landscapes are essential for accurate enhancer prediction and disease variant mapping. Although cis-regulatory element (CRE) resources exist for most tissues and organs, many rare — yet functionally important — cell types remain overlooked. Despite representing only a small fraction of the heart’s cellular biomass, the cardiac conduction system (CCS) unfailingly coordinates every life-sustaining heartbeat. To globally profile the mouse CCS cis-regulatory landscape, we genetically tagged CCS component–specific nuclei for comprehensive assay for transposase-accessible chromatin–sequencing (ATAC-Seq) analysis. Thus, we established a global CCS-enriched CRE database, referred to as CCS-ATAC, as a key resource for studying CCS-wide and component-specific regulatory functions. Using transcription factor (TF) motifs to construct CCS component–specific gene regulatory networks (GRNs), we identified and independently confirmed several specific TF sub-networks. Highlighting the functional importance of CCS-ATAC, we also validated numerous CCS-enriched enhancer elements and suggested gene targets based on CCS single–cell RNA-Seq data. Furthermore, we leveraged CCS-ATAC to improve annotation of existing human variants related to cardiac rhythm and nominated a potential enhancer-target pair that was dysregulated by a specific SNP. Collectively, our results established a CCS-regulatory compendium, identified novel CCS enhancer elements, and illuminated potential functional associations between human genomic variants and CCS component–specific CREs.

Authors

Samadrita Bhattacharyya, Rahul K. Kollipara, Gabriela Orquera-Tornakian, Sean Goetsch, Minzhe Zhang, Cameron Perry, Boxun Li, John M. Shelton, Minoti Bhakta, Jialei Duan, Yang Xie, Guanghua Xiao, Bret M. Evers, Gary C. Hon, Ralf Kittler, Nikhil V. Munshi

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Figure 1

Purification of CCS component–specific nuclei to create a comprehensive regulatory atlas.

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Purification of CCS component–specific nuclei to create a comprehensive ...
(A) Diagram of CCS components with associated Cre driver lines. (B) Experimental workflow. MAN-IP, magnet-assisted nuclei immunoprecipitation. (C) MDS plot of individual ATAC-Seq data sets. CCS-ATAC and CM-ATAC data subsets are indicated by the outlined areas. (D) Venn diagram comparing CM-ATAC with ENCODE DHS-Seq data set from adult (8 weeks) mouse (Mm) heart. (E) Bar graph representing percentage overlap between CM-ATAC and the indicated ENCODE DHS-Seq data sets. H, heart (8 weeks); S, spleen (8 weeks); LI, large intestine (8 weeks); St, stomach (postnatal). (F) Genome browser tracks for Shox2, Gjd3, and Cntn2 loci, which contain the Cre drivers used in the current study. Purple dotted box indicates the previously characterized AVN enhancer (25). (G) Chow-Ruskey plot comparing CCS-ATAC with ENCODE adult heart data set. Numbers of unique or shared regions are shown.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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