Transcriptomic and epigenomic profiling datasets of murine HL-1 cardiomyocytes

Area of Science:

• Cardiovascular Biology
• Epigenetics
• Genomics

Background:

• The HL-1 cell line is a key model for cardiac research.
• A comprehensive epigenomic reference for HL-1 cells is currently lacking in public databases.

Purpose of the Study:

• To create an integrated epigenomic reference dataset for the HL-1 cell line.
• To provide a resource for studying epigenetic regulation in cardiomyocytes.

Main Methods:

• ChIP-seq for H3K4me3, H3K27ac, and CTCF.
• RNA-sequencing (RNA-seq).
• Bioinformatic analysis of multi-omic data.

Main Results:

• Generated high-quality multi-omic profiles (H3K4me3, H3K27ac, CTCF ChIP-seq, RNA-seq).
• Profiles include markers for active promoters, enhancers, and chromatin boundaries.
• Data are well-aligned and suitable for further analysis.

Conclusions:

• The dataset serves as a valuable resource for cardiac epigenomic research.
• Facilitates identification of regulatory elements and modeling of transcriptional networks.
• Supports research into cardiovascular diseases using cardiomyocyte models.