dominoSignal

dominoSignal analyzes cell signaling through ligand-receptor-transcription factor networks in single-cell RNA sequencing data.

Key Features:

• Transcriptomic Data Input: Requires counts, z-scored counts, and cluster labels as input data.
• Transcription Factor Integration: Incorporates transcription factor activation information, such as from SCENIC.
• Ligand-Receptor Database Support: Uses a database of ligand and receptor pairings, such as from CellPhoneDB.
• Network Object Construction: Creates an object storing ligand-receptor-transcription factor linkages organized by cluster.
• Exploratory Analysis Methods: Provides methods for exploring the signaling network analysis results.
• Summarization Methods: Provides methods for summarizing the signaling network analysis results.
• Visualization Methods: Provides methods for visualizing the signaling network analysis results.

Scientific Applications:

• Single-Cell Signaling Network Analysis: Enables investigation of intercellular communication via ligand-receptor-transcription factor networks in scRNAseq datasets.
• Cell-Cell Communication Mapping: Identifies signaling linkages between cell clusters based on transcriptional activity and receptor-ligand pairing.

Methodology:

The package constructs an object storing ligand-receptor-transcription factor linkages by cluster from input transcriptomic data, transcription factor activation data, and ligand-receptor pairing databases.