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10.1038/ncomms8866 http://scihub22266oqcxt.onion/10.1038/ncomms8866 C4525178!4525178!26198319     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Commun 2015 ; 6 (ä): ä Nephropedia Template TP {{tp|p=26198319|t=2015. A draft network of ligand?receptor-mediated multicellular signalling in human |pdf=|usr=}}{{26198319}} gab.com Text A draft network of ligand receptor-mediated multicellular signalling in human JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=26198319 #FOAvip 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. Twit Text FOAVip A draft network of ligand receptor-mediated multicellular signalling in human ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=26198319 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26198319 #FOAvip English Wikipedia <ref>{{Cite pmid|26198319}}</ref> A draft network of ligand?receptor-mediated multicellular signalling in human #MMPMID26198319 Ramilowski JA; Goldberg T; Harshbarger J; Kloppman E; Lizio M; Satagopam VP; Itoh M; Kawaji H; Carninci P; Rost B; Forrest ARR Nat Commun 2015[]; 6 (ä): ä PMID26198319show ga 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. äA draft network of ligand?receptor-mediated multicellular signalling i(epmc).pdf DeepDyve Pubget Overpricing