ArticleData in brief2026
Transcriptomic and epigenomic profiling datasets of murine HL-1 cardiomyocytes.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Epigenetic features, such as histone modifications and higher-order genome organization, are fundamental determinants of cell-specific gene expression. However, while the HL-1 cell line is a widely utilized model for cardiac research, a comprehensive and integrated epigenomic reference for this line remains scarce in public databases. Our dataset comprises multi-omic profiles including H3K4me3, H3K27ac, and CTCF ChIP-seq together with matched RNA-seq data, where H3K4me3, H3K27ac, and CTCF are widely recognized markers of active promoters, distal enhancers, and chromatin architectural boundaries, respectively. The data provide high-quality sequencing reads and well-aligned genomic profiles, which serve as a valuable resource for investigating epigenetic regulation and gene expression. This collection facilitates the identification of regulatory elements and supports the integrative modeling of transcriptional networks in cardiomyocyte models and cardiovascular diseases.
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