Social network architecture of human immune cells unveiled by quantitative proteomics

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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

In: Nature Immunology, Vol. 18, No. 5, 05.2017, p. 583-593.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Rieckmann, JC, Geiger, R, Hornburg, D, Wolf, T, Kveler, K, Jarrossay, D, Sallusto, F, Shen-Orr, SS, Lanzavecchia, A, Mann, M & Meissner, F 2017, 'Social network architecture of human immune cells unveiled by quantitative proteomics', Nature Immunology, vol. 18, no. 5, pp. 583-593. https://doi.org/10.1038/ni.3693

APA

Rieckmann, J. C., Geiger, R., Hornburg, D., Wolf, T., Kveler, K., Jarrossay, D., Sallusto, F., Shen-Orr, S. S., Lanzavecchia, A., Mann, M., & Meissner, F. (2017). Social network architecture of human immune cells unveiled by quantitative proteomics. Nature Immunology, 18(5), 583-593. https://doi.org/10.1038/ni.3693

Vancouver

Rieckmann JC, Geiger R, Hornburg D, Wolf T, Kveler K, Jarrossay D et al. Social network architecture of human immune cells unveiled by quantitative proteomics. Nature Immunology. 2017 May;18(5):583-593. https://doi.org/10.1038/ni.3693

Author

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. / Social network architecture of human immune cells unveiled by quantitative proteomics. In: Nature Immunology. 2017 ; Vol. 18, No. 5. pp. 583-593.

Bibtex

@article{bd1dd00af3dd40369fecc5287e94626a,
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.",
keywords = "Animals, Blood Cells, Bodily Secretions, Cell Communication, Computer Simulation, Humans, Immunity, Cellular, Mass Spectrometry, Protein Interaction Maps, Proteome, Proteomics, Social Support, Journal Article",
author = "Rieckmann, {Jan C} and Roger Geiger and Daniel Hornburg and Tobias Wolf and Ksenya Kveler and David Jarrossay and Federica Sallusto and Shen-Orr, {Shai S} and Antonio Lanzavecchia and Matthias Mann and Felix Meissner",
year = "2017",
month = may,
doi = "10.1038/ni.3693",
language = "English",
volume = "18",
pages = "583--593",
journal = "Nature Immunology",
issn = "1529-2908",
publisher = "nature publishing group",
number = "5",

}

RIS

TY - JOUR

T1 - Social network architecture of human immune cells unveiled by quantitative proteomics

AU - Rieckmann, Jan C

AU - Geiger, Roger

AU - Hornburg, Daniel

AU - Wolf, Tobias

AU - Kveler, Ksenya

AU - Jarrossay, David

AU - Sallusto, Federica

AU - Shen-Orr, Shai S

AU - Lanzavecchia, Antonio

AU - Mann, Matthias

AU - Meissner, Felix

PY - 2017/5

Y1 - 2017/5

N2 - 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.

AB - 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.

KW - Animals

KW - Blood Cells

KW - Bodily Secretions

KW - Cell Communication

KW - Computer Simulation

KW - Humans

KW - Immunity, Cellular

KW - Mass Spectrometry

KW - Protein Interaction Maps

KW - Proteome

KW - Proteomics

KW - Social Support

KW - Journal Article

U2 - 10.1038/ni.3693

DO - 10.1038/ni.3693

M3 - Journal article

C2 - 28263321

VL - 18

SP - 583

EP - 593

JO - Nature Immunology

JF - Nature Immunology

SN - 1529-2908

IS - 5

ER -

ID: 184292224