NicheNet: modeling intercellular communication by linking ligands to target genes
- PMID: 31819264
- DOI: 10.1038/s41592-019-0667-5
NicheNet: modeling intercellular communication by linking ligands to target genes
Abstract
Computational methods that model how gene expression of a cell is influenced by interacting cells are lacking. We present NicheNet (https://github.com/saeyslab/nichenetr), a method that predicts ligand-target links between interacting cells by combining their expression data with prior knowledge on signaling and gene regulatory networks. We applied NicheNet to tumor and immune cell microenvironment data and demonstrate that NicheNet can infer active ligands and their gene regulatory effects on interacting cells.
Comment in
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Cellular communication in a 'virtual lab': going beyond the classical ligand-receptor interaction.Cardiovasc Res. 2020 Jun 1;116(7):e67-e69. doi: 10.1093/cvr/cvaa076. Cardiovasc Res. 2020. PMID: 32388555 No abstract available.
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