Evidence map›Paper›PMID 28263321›Full record

ArticleNature immunology2017

Social network architecture of human immune cells unveiled by quantitative proteomics.

Jan C Rieckmann, Roger Geiger, Daniel Hornburg, Tobias Wolf, Ksenya Kveler, David Jarrossay, Federica Sallusto, Shai S Shen-Orr, Antonio Lanzavecchia, Matthias Mann and 1 more

Abstract read
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In one paragraph

Article in Nature immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 223 papers.

0numbers the graph read from it
0cells of the map it votes in
223citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

223 citing papers in PubMed.

  1. Article
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  10. Quantifying Information Exchange Between Cells in Inflammaging.Bioengineering (Basel, Switzerland) · 2026
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  20. Article

163 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jan C RieckmannExperimental Systems Immunology, Max Planck Institute of Biochemistry, Bayern, Germany.
Roger GeigerInstitute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland.
Daniel HornburgExperimental Systems Immunology, Max Planck Institute of Biochemistry, Bayern, Germany.
Tobias WolfInstitute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland.
Ksenya KvelerDepartment of Immunology, Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
David JarrossayInstitute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland.
Federica SallustoInstitute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland.
Shai S Shen-OrrDepartment of Immunology, Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
Antonio LanzavecchiaInstitute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland.
Matthias MannDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Bayern, Germany.
Felix MeissnerExperimental Systems Immunology, Max Planck Institute of Biochemistry, Bayern, Germany.ORCID 0000-0003-1000-7989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Immunity, CellularProtein Interaction MapsProteomeProteomicsAnimalsBlood CellsBodily SecretionsCell CommunicationComputer SimulationHumansMass SpectrometrySocial SupportProteome

Identifiers

PMID28263321

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.