Mining cell-cell signaling in single-cell transcriptomics atlases

Abstract

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.