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Decoding human cardiovascular development and disease through single-cell transcriptomic and epigenomic profiling
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DOI：10.1016/j.tcb.2025.05.001.png)
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Abstract
En 中文
Single-cell multiomics methods for measuring chromatin accessibility (ATAC-seq) and gene expression (RNA-seq) are advancing our understanding of human biology and pathophysiology. High-throughput and quantitative analysis of single-cell transcriptomes and chromatin accessibility profiles can be simultaneously quantified, providing insights into gene expression and regulation in the same cell. New computational frameworks for multiomics data analyses and integration are emerging to infer the global gene regulatory networks. Single-cell multiomics and computational frameworks promise to uncover new insights into regulatory mechanisms of human cardiogenesis and cardiovascular disease pathogenesis.
Keywords:
single-cell multiomics
chromatin accessibility
gene expression
computational frameworks
gene regulatory networks
Journal
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