Mining cell–cell signaling in single-cell transcriptomics atlases

Recent advances in single-cell RNA sequencing (scRNA-seq) techniques lead to an explosion of single-cell atlases from diverse biological contexts. The information of cell–cell signaling events, which underlie multicellular organism function, is embedded in these atlases. Here, we review current strategies of mining cell–cell signaling events from single-cell transcriptomics datasets and highlight examples where functions of predicted cell–cell signaling events from single-cell atlases are further pursued to yield new insights into biological processes.