CellDialog
CellDialog analyzes ligand-receptor-mediated cell-cell communication by reconstructing intercellular connectivity networks from curated ligand-receptor interactions and single-cell RNA sequencing expression profiles to study processes such as tumor progression, metastasis, and therapy resistance.
Key Features:
- Ligand-Receptor Interaction (LRI) Curation: Performs LRI feature extraction, selection, and classification to assemble high-confidence ligand-receptor interactions.
- Three-Point Estimation Approach: Quantifies LRI-mediated intercellular communication strength using a three-point estimation method that integrates LRI filtering with single-cell RNA sequencing data.
- Comparative Analysis Capability: Benchmarks inferred communications against other tools to evaluate performance in decoding complex intercellular communications.
- Visualization Tools: Generates heatmaps and network views to represent intercellular communication patterns.
Scientific Applications:
- Tumor biology: Investigating tumor progression and metastasis by mapping ligand-receptor signaling among cell populations.
- Therapeutic target discovery and resistance mechanisms: Identifying potential therapeutic targets and elucidating mechanisms of therapy resistance through detailed signaling pathway analysis.
Methodology:
Constructs a comprehensive LRI database, performs LRI feature extraction, selection and classification, applies LRI filtering and a three-point estimation approach integrated with single-cell RNA sequencing data to reconstruct intercellular connectivity networks.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 5/1/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Peng L, Xiong W, Han C, Li Z, Chen X. CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis. IEEE Journal of Biomedical and Health Informatics. 2024;28(1):580-591. doi:10.1109/jbhi.2023.3333828. PMID:37976192.