Interactive analysis of single-cell epigenomic landscapes with ChromSCape

Area of Science:

• Epigenetics and Genomics
• Computational Biology
• Cancer Research

Background:

• Chromatin modifications regulate gene expression, crucial for cell identity and disease.
• Bulk epigenomic methods mask cell-to-cell heterogeneity, limiting understanding of dynamic biological processes.
• Single-cell resolution mapping of histone modifications offers new insights but requires specialized analysis tools.

Purpose of the Study:

• To introduce ChromSCape, an R package and Shiny application for analyzing single-cell epigenomic data.
• To enable the interpretation of chromatin landscapes and cell heterogeneity in complex biological systems.
• To develop a tool suitable for the low coverage and sparse nature of single-cell epigenomic datasets.

Main Methods:

• Development of ChromSCape, a user-friendly interactive Shiny/R application distributed as a Bioconductor package.
• Analysis of repressive and active histone modifications and chromatin accessibility from single-cell datasets.
• Application of ChromSCape to deconvolve chromatin landscapes within the tumor micro-environment.

Main Results:

• ChromSCape effectively processes and visualizes single-cell epigenomic data.
• The tool identified distinct histone H3K27me3 landscapes within the tumor micro-environment.
• These landscapes were associated with specific cell identities and breast tumor subtypes.

Conclusions:

• ChromSCape provides a valuable resource for interpreting single-cell chromatin landscapes.
• The tool facilitates the study of cell heterogeneity in epigenetics and disease.
• Understanding cell-specific chromatin modifications is key to advancing cancer research and personalized medicine.