User:Jordan
Title: Information flow in multi-cellular signaling networks
ManuscriptID: Phase1_048
Abstract: In higher order metazoans intercellular communication coordinates functioning and the division of labor across multiple cell types and tissues. Herein, we construct and analyze the first large–scale map of cell–cell interactions by integrating ligand–plasma membrane receptor interactions and the expression of receptors and ligands for the majority of human primary cells. We find that proteins involved in cell–to–cell communication have the most cell-type specific expression profiles. Additionally protein age estimations show that they are the youngest proteins and that many receptors had evolved before their cognate ligands. We estimate that any given primary cell expresses on the order of 90 receptors and 100 ligands and that approximately 60% of ligands secreted from any given cell can bind to receptors on the same cell type indicating autocrine signaling is significant. Blood lineages appear distinct from other cells, in particular that they express fewer ligands on average. Interactive visualization and query of our ligand–receptor networks is freely available online.
Authors: Jordan A. Ramilowski, Tatyana Goldberg, Edda Kloppman, Jayson Harshbarger, Venkata P. Satagopam, Piero Carninci, the FANTOM consortium, Burkhard Rost, Alistair R.R. Forrest
Authors contribution statement: MR did ..., TO did ..., KE did ..., EA did ..., AL did ...
Datasets used: phase1 CAGE peaks
Target journal(s): presubmission Nat. Gen.
Internal submission date:
Contact by email: [1]
Word document version of manuscript for editors: File:XXXYOUR.doc
PDF version for general viewing (including all figs in one PDF): File:XXXYOUR.pdf
