CellPhoneDB

CellPhoneDB catalogs curated receptors, ligands, and their heteromeric subunit architectures and predicts enriched cell–cell communications from single-cell RNA-seq data to analyze intercellular signaling.

Key Features:

• Curated Interaction Repository: Provides a curated database of receptors, ligands, and annotated ligand–receptor interactions.
• Subunit Architecture Representation: Represents detailed subunit composition for ligands and receptors, including heteromeric complexes.
• Single-Cell Statistical Framework: Integrates single-cell transcriptomics with a statistical framework to predict enriched interactions between cell types.
• Extensible Interaction Set: Supports incorporation of new interacting molecules into the database.
• Efficient Data Handling: Enables analysis of large datasets (example: ~10 GB, ~10,000 cells across 19 cell types) with reported runtimes around two hours using five computational threads.

Scientific Applications:

• Development and Differentiation: Investigating molecular mechanisms of tissue development and cellular differentiation via ligand–receptor signaling.
• Immune Responses and Inflammation: Analyzing immune cell communication and inflammatory signaling networks in single-cell data.
• Disease Mechanisms and Progression: Exploring altered intercellular signaling underlying disease progression in pathological tissues.

Methodology:

CellPhoneDB integrates curated ligand–receptor interaction data with a statistical framework that assesses enrichment and the likelihood of cell–cell interactions using single-cell RNA sequencing across cell types.