A draft network of ligand–receptor-mediated multicellular signalling in human

Jordan A. Ramilowski(CE Technologies (United Kingdom)), Tatyana Goldberg(Technical University of Munich), Jayson Harshbarger(CE Technologies (United Kingdom)), Edda Kloppmann(Technical University of Munich), Marina Lizio(CE Technologies (United Kingdom)), Venkata Satagopam(University of Luxembourg), Masayoshi Itoh(CE Technologies (United Kingdom)), Hideya Kawaji(CE Technologies (United Kingdom)), Piero Carninci(CE Technologies (United Kingdom)), Burkhard Rost(Technical University of Munich), Alistair R. R. Forrest(The University of Western Australia)
Nature Communications
July 22, 2015
Cited by 986Open Access
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Abstract

Cell-to-cell communication across multiple cell types and tissues strictly governs proper functioning of metazoans and extensively relies on interactions between secreted ligands and cell-surface receptors. Herein, we present the first large-scale map of cell-to-cell communication between 144 human primary cell types. We reveal that most cells express tens to hundreds of ligands and receptors to create a highly connected signalling network through multiple ligand-receptor paths. We also observe extensive autocrine signalling with approximately two-thirds of partners possibly interacting on the same cell type. We find that plasma membrane and secreted proteins have the highest cell-type specificity, they are evolutionarily younger than intracellular proteins, and that most receptors had evolved before their ligands. We provide an online tool to interactively query and visualize our networks and demonstrate how this tool can reveal novel cell-to-cell interactions with the prediction that mast cells signal to monoblastic lineages via the CSF1-CSF1R interacting pair.


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