Social network architecture of human immune cells unveiled by quantitative proteomics

Immune cells give rise to the most interconnected system in the body. Meissner and colleagues perform comprehensive proteomics and secretomics to describe in detail the ‘social network’ of human immune cells and throw light on previously unknown cell connectivities. The immune system is unique in it...

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Published inNature immunology Vol. 18; no. 5; pp. 583 - 593
Main Authors Rieckmann, Jan C, Geiger, Roger, Hornburg, Daniel, Wolf, Tobias, Kveler, Ksenya, Jarrossay, David, Sallusto, Federica, Shen-Orr, Shai S, Lanzavecchia, Antonio, Mann, Matthias, Meissner, Felix
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.05.2017
Nature Publishing Group
Subjects
Online AccessGet full text
ISSN1529-2908
1529-2916
1529-2916
DOI10.1038/ni.3693

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Abstract Immune cells give rise to the most interconnected system in the body. Meissner and colleagues perform comprehensive proteomics and secretomics to describe in detail the ‘social network’ of human immune cells and throw light on previously unknown cell connectivities. 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.
AbstractList 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.
Immune cells give rise to the most interconnected system in the body. Meissner and colleagues perform comprehensive proteomics and secretomics to describe in detail the ‘social network’ of human immune cells and throw light on previously unknown cell connectivities. 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.
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 [greater than] 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 (
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.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.
Audience Academic
Author Jarrossay, David
Lanzavecchia, Antonio
Mann, Matthias
Rieckmann, Jan C
Kveler, Ksenya
Hornburg, Daniel
Sallusto, Federica
Geiger, Roger
Meissner, Felix
Wolf, Tobias
Shen-Orr, Shai S
Author_xml – sequence: 1
  givenname: Jan C
  surname: Rieckmann
  fullname: Rieckmann, Jan C
  organization: Experimental Systems Immunology, Max Planck Institute of Biochemistry
– sequence: 2
  givenname: Roger
  surname: Geiger
  fullname: Geiger, Roger
  organization: Institute for Research in Biomedicine, Università della Svizzera italiana, Institute of Microbiology, ETH Zürich
– sequence: 3
  givenname: Daniel
  surname: Hornburg
  fullname: Hornburg, Daniel
  organization: Experimental Systems Immunology, Max Planck Institute of Biochemistry
– sequence: 4
  givenname: Tobias
  surname: Wolf
  fullname: Wolf, Tobias
  organization: Institute for Research in Biomedicine, Università della Svizzera italiana, Institute of Microbiology, ETH Zürich
– sequence: 5
  givenname: Ksenya
  surname: Kveler
  fullname: Kveler, Ksenya
  organization: Department of Immunology, Faculty of Medicine, Technion-Israel Institute of Technology
– sequence: 6
  givenname: David
  surname: Jarrossay
  fullname: Jarrossay, David
  organization: Institute for Research in Biomedicine, Università della Svizzera italiana
– sequence: 7
  givenname: Federica
  surname: Sallusto
  fullname: Sallusto, Federica
  organization: Institute for Research in Biomedicine, Università della Svizzera italiana
– sequence: 8
  givenname: Shai S
  surname: Shen-Orr
  fullname: Shen-Orr, Shai S
  organization: Department of Immunology, Faculty of Medicine, Technion-Israel Institute of Technology
– sequence: 9
  givenname: Antonio
  surname: Lanzavecchia
  fullname: Lanzavecchia, Antonio
  organization: Institute for Research in Biomedicine, Università della Svizzera italiana, Institute of Microbiology, ETH Zürich
– sequence: 10
  givenname: Matthias
  surname: Mann
  fullname: Mann, Matthias
  email: mmann@biochem.mpg.de
  organization: Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry
– sequence: 11
  givenname: Felix
  orcidid: 0000-0003-1000-7989
  surname: Meissner
  fullname: Meissner, Felix
  email: meissner@biochem.mpg.de
  organization: Experimental Systems Immunology, Max Planck Institute of Biochemistry
BackLink https://www.ncbi.nlm.nih.gov/pubmed/28263321$$D View this record in MEDLINE/PubMed
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Snippet Immune cells give rise to the most interconnected system in the body. Meissner and colleagues perform comprehensive proteomics and secretomics to describe in...
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...
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SubjectTerms 631/250
631/45/612
82/58
96/21
Animals
Biomedicine
Blood Cells - physiology
Bodily Secretions
Cell Communication
Cellular proteins
Computer Simulation
Genetic aspects
Health aspects
Humans
Immune system
Immunity, Cellular
Immunology
Infectious Diseases
Mass Spectrometry
Properties
Protein Interaction Maps
Protein synthesis
Proteome
Proteomics
resource
Social Support
Spectrometry
Title Social network architecture of human immune cells unveiled by quantitative proteomics
URI https://link.springer.com/article/10.1038/ni.3693
https://www.ncbi.nlm.nih.gov/pubmed/28263321
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Volume 18
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