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Cited by 341

The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.

Cytokine-mediated communication: a quantitative appraisal of immune complexity

Open access
Altan-Bonnet, Grégoire, Mukherjee, Ratnadeep·2019·Nature Reviews Immunology

Abstract

Intercellular communication mediated by cytokines is the main mechanism by which cells of the immune system talk to each other. Many aspects of cytokine signalling in the immune system have been explored in great detail at the structural, biophysical, biochemical and cellular levels. However, a systematic understanding of the quantitative rules that govern cytokine-mediated cell-to-cell communication is still lacking. Here, we discuss recent efforts in the field of systems immunology to bring about a quantitative understanding of cytokine-mediated communication between leukocytes and to provide novel insights into the orchestration of immune responses and inflammation. Recent advances in systems immunology are beginning to elucidate the quantitative rules that govern cytokine-mediated cell-to-cell communication. This Review describes how combining theoretical analysis with experimental validation can lead to a better understanding of cytokine-mediated communication between cells of the immune system.

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Metadata

Authors
Altan-Bonnet, G., & Mukherjee, R.
Venue
Nature Reviews Immunology
Published
2019-02-15
Volume
19
Issue
4
Pages
205-217
ISSN
  • 1474-1733 (ISSN-L)
  • 1474-1741
OpenAlex
W2914147828
Cited by
341
References
106
FWCI
3.31
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cytokine-mediated communication: a quantitative appraisal of immune complexity. https://app.cochat.ai/papers/10.1038/s41577-019-0131-x
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Altan-Bonnet, G., & Mukherjee, R. (2019). Cytokine-mediated communication: a quantitative appraisal of immune complexity. Nature Reviews Immunology. https://doi.org/10.1038/s41577-019-0131-x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.