Inference of Ligand-Receptor Pairs from Single-Cell Transcriptomics Data.
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Volume
2346
Pagination
1 - 10
DOI
10.1007/7651_2020_343
Journal
Methods Mol Biol
Metadata
Show full item recordAbstract
Cell-cell communication is crucial for development and tissue homeostasis in multicellular organisms. Single-cell transcriptomics has emerged as a revolutionary technique for dissecting cellular compositions and potential cell-cell communication events via ligand-receptor pairs. To provide a systematic characterization of intercellular communication, we developed a framework to map cell-cell communication events mediated by ligand-receptor interactions across different cell types using single-cell transcriptomics data. Our repository of ligands, receptors and their interactions is integrated with a computational approach to identify cell-type specific and biologically relevant interactions. Here, we summarize the structure and content of our repository and present a practical guide for inferring cell-cell communication networks from single-cell RNA sequencing data.
Authors
Efremova, M; Vento-Tormo, RCollections
- Centre for Cancer Prevention [1179]