Principal Scientist Sanofi Cambridge, Massachusetts, United States
Abstract Text: Most of cell-cell interactions and crosstalks are mediated by ligand-receptor interactions. The advent of single-cell RNA-sequencing (scRNA-seq) techniques has enabled characterizing tissue heterogeneity at single-cell level. Over the past recent years, many methods have been developed to study ligand-receptor interactions at cell type level using scRNA-seq data. However, the packages depend on databases and do not provide a convenient way to query specific user-defined signaling pathway and produce quick visualizations. Here, we present Dimer Signal Receptor (DiSiR), a fast and easy-to-use software framework to investigate how individual cells are interacting with each other by analyzing signaling pathways of multi-subunit ligand-activated receptors from scRNA-seq data, even for the genes that are not listed in available databases. DiSiR produced publication-quality heatmaps, as well as bubble plots, for the genes of interest.
