Global chromatin landscapes identify candidate noncoding modifiers of cardiac rhythm.
Global chromatin landscapes identify candidate noncoding modifiers of cardiac rhythm.
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DOI:
10.1172/jci153635
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发表时间:
2023-02-01
影响因子:
15.9
通讯作者:
Munshi, Nikhil V.
中科院分区:
文献类型:
--
作者:
Bhattacharyya, Samadrita;Kollipara, Rahul K.;Orquera-Tornakian, Gabriela;Goetsch, Sean;Zhang, Minzhe;Perry, Cameron;Li, Boxun;Shelton, John M.;Bhakta, Minoti;Duan, Jialei;Xie, Yang;Xiao, Guanghua;Evers, Bret M.;Hon, Gary C.;Kittler, Ralf;Munshi, Nikhil V.
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.
影响因子:
2.7
作者:
Vedantham, Vasanth;Evangelista, Melissa;Huang, Yu;Srivastava, Deepak
通讯作者:
Srivastava, Deepak