Nature Communications· 2021Q1
Inference and analysis of cell-cell communication using CellChat
- 8,427citations
- Q1SCImago
- 2021year
Short summary
CellChat is a new computational tool that quantitatively infers and analyzes intercellular communication networks from single-cell RNA sequencing data.
AI-generated from the title and abstract; the full text is not read.
Key points
- CellChat quantitatively infers intercellular communication networks from scRNA-seq data.
- It uses network analysis and pattern recognition to predict cell signaling inputs/outputs.
- The tool classifies signaling pathways and distinguishes conserved from context-specific ones.
- Demonstrated effectiveness on mouse and human skin datasets for extracting complex signaling patterns.
AI-generated from the title and abstract; the full text is not read.
Abstract
Understanding global communications among cells requires accurate representation of cell-cell signaling links and effective systems-level analyses of those links. We construct a database of interactions among ligands, receptors and their cofactors that accurately represent known heteromeric molecular complexes. We then develop CellChat, a tool that is able to quantitatively infer and analyze intercellular communication networks from single-cell RNA-sequencing (scRNA-seq) data. CellChat predicts major signaling inputs and outputs for cells and how those cells and signals coordinate for functions using network analysis and pattern recognition approaches. Through manifold learning and quantitative contrasts, CellChat classifies signaling pathways and delineates conserved and context-specific pathways across different datasets. Applying CellChat to mouse and human skin datasets shows its ability to extract complex signaling patterns. Our versatile and easy-to-use toolkit CellChat and a web-based Explorer ( http://www.cellchat.org/ ) will help discover novel intercellular communications and build cell-cell communication atlases in diverse tissues.
The authors' abstract, as published at the source. Nature Communications, 2021 · DOI ↗
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Field: Electrical and Electronic Engineering
Electrical and Electronic EngineeringEngineering