Cell–cell communication mediated by ligand–receptor complexes is critical to coordinating
diverse biological processes, such as development, differentiation and inflammation. To …

Cell-to-cell communication can be inferred from ligand–receptor expression in cell
transcriptomic datasets. However, important challenges remain: global integration of cell-to …

The growing availability of single-cell data, especially transcriptomics, has sparked an
increased interest in the inference of cell-cell communication. Many computational tools …

Cell–cell interactions orchestrate organismal development, homeostasis and single-cell
functions. When cells do not properly interact or improperly decode molecular messages …

Cell–cell communications in multicellular organisms generally involve secreted ligand–
receptor (LR) interactions, which is vital for various biological phenomena. Recent …

Abstract Development of high throughput single-cell sequencing technologies has made it
cost-effective to profile thousands of cells from diverse samples containing multiple cell …

No cell lives in a vacuum, and the molecular interactions between cells define most
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …

Understanding global communications among cells requires accurate representation of cell-
cell signaling links and effective systems-level analyses of those links. We construct a …

Recent advances in single-cell sequencing technologies offer an opportunity to explore cell-
cell communication in tissues systematically and with reduced bias. A key challenge is the …

For multicellular organisms, cell-cell communication is essential to numerous biological
processes. Drawing upon the latest development of single-cell RNA-sequencing (scRNA …