The Journal of Clinical Investigation (Feb 2023)

Global chromatin landscapes identify candidate noncoding modifiers of cardiac rhythm

  • 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

Journal volume & issue
Vol. 133, no. 3

Abstract

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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.

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