title: Social network architecture of human immune cells unveiled by quantitative proteomics.
abstract: The immune system is unique in its dynamic interplay between numerous cell types. However, a system-wide view of how immune cells communicate to protect against disease has not yet been established. We applied high-resolution mass-spectrometry-based proteomics to characterize 28 primary human hematopoietic cell populations in steady and activated states at a depth of >10,000 proteins in total. Protein copy numbers revealed a specialization of immune cells for ligand and receptor expression, thereby connecting distinct immune functions. By integrating total and secreted proteomes, we discovered fundamental intercellular communication structures and previously unknown connections between cell types. Our publicly accessible (http://www.immprot.org/) proteomic resource provides a framework for the orchestration of cellular interplay and a reference for altered communication associated with pathology.
authors.affiliation: Experimental Systems Immunology, Max Planck Institute of Biochemistry, Bayern, Germany.
authors.forename: Jan C
authors.initials: JC
authors.lastname: Rieckmann
authors.affiliation: Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland.|Institute of Microbiology, ETH Zürich, Zürich, Switzerland.
authors.forename: Roger
authors.initials: R
authors.lastname: Geiger
authors.affiliation: Experimental Systems Immunology, Max Planck Institute of Biochemistry, Bayern, Germany.
authors.forename: Daniel
authors.initials: D
authors.lastname: Hornburg
authors.affiliation: Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland.|Institute of Microbiology, ETH Zürich, Zürich, Switzerland.
authors.forename: Tobias
authors.initials: T
authors.lastname: Wolf
authors.affiliation: Department of Immunology, Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
authors.forename: Ksenya
authors.initials: K
authors.lastname: Kveler
authors.affiliation: Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland.
authors.forename: David
authors.initials: D
authors.lastname: Jarrossay
authors.affiliation: Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland.
authors.forename: Federica
authors.initials: F
authors.lastname: Sallusto
authors.affiliation: Department of Immunology, Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
authors.forename: Shai S
authors.initials: SS
authors.lastname: Shen-Orr
authors.affiliation: Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland.|Institute of Microbiology, ETH Zürich, Zürich, Switzerland.
authors.forename: Antonio
authors.initials: A
authors.lastname: Lanzavecchia
authors.affiliation: Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Bayern, Germany.
authors.forename: Matthias
authors.initials: M
authors.lastname: Mann
authors.affiliation: Experimental Systems Immunology, Max Planck Institute of Biochemistry, Bayern, Germany.
authors.forename: Felix
authors.identifier: 0000-0003-1000-7989
authors.initials: F
authors.lastname: Meissner
mesh_terms: D000818:Animals; D001773:Blood Cells / Q000502:physiology*; D012634:Bodily Secretions; D002450:Cell Communication; D003198:Computer Simulation; D006801:Humans; D007111:Immunity, Cellular; D013058:Mass Spectrometry; D060066:Protein Interaction Maps; D020543:Proteome; D040901:Proteomics; D012944:Social Support
chemical_list: D020543:Proteome