… analysis of cell-to-cell communication networks based on single-cell gene expression data
as … single-cell data for building these networks is that rare and difficult to isolate cell types can …

… contain complex cell–cell communication networks that enable … cell–cell molecular
interactions. Drawing inspiration from evolution, we can engineer cell–cell communication networks …

… networks as “black boxes” with characterized input-to-output response relationships. We study
simple cell-to-cell communication … synchronization and delay of cell-population responses…

… Further, CellChat is able to quantify the similarity between all significant signaling pathways
and then group them based on their cellular communication network similarity. Grouping can …

… Communication between different cellular signaling systems has emerged as a common
principle that enables cells … new components of a cellular communication network of rapidly …

… (f) Ready identification of major signaling sources and targets using network centrality
analysis. For a given cell–cell communication network, the outgoing and incoming centrality …

… bulk RNA-seq on cell populations isolated by EMBRACE. Utilizing this transcriptomic data,
we … a cell-cell communication network that reveals the richness and extent of communication …

… World maps of cellular telephone coverage and population density. (Left) Cellular telephone
… Here, we show how one such commercial cellular communication network can be used to …

… investigate molecular mechanisms of cell–cell communication and discover function-specific
target molecules within intercellular networks. For example, function- or character-specific …

… network geometries. However, the effects of network architecture on mechanical cell–cell
communication … geometry on network mechanics, and thus the ability for cells to communicate …