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Dictionary of immune responses to cytokines at single-cell resolution

Author

Listed:
  • Ang Cui

    (Massachusetts Institute of Technology
    Broad Institute of MIT and Harvard
    Harvard University)

  • Teddy Huang

    (Dana–Farber Cancer Institute)

  • Shuqiang Li

    (Broad Institute of MIT and Harvard
    Dana–Farber Cancer Institute)

  • Aileen Ma

    (Broad Institute of MIT and Harvard
    Massachusetts Institute of Technology)

  • Jorge L. Pérez

    (Broad Institute of MIT and Harvard
    Massachusetts Institute of Technology)

  • Chris Sander

    (Broad Institute of MIT and Harvard
    Harvard Medical School
    Dana–Farber Cancer Institute)

  • Derin B. Keskin

    (Broad Institute of MIT and Harvard
    Dana–Farber Cancer Institute
    Dana–Farber Cancer Institute)

  • Catherine J. Wu

    (Broad Institute of MIT and Harvard
    Dana–Farber Cancer Institute
    Brigham and Women’s Hospital, Harvard Medical School)

  • Ernest Fraenkel

    (Broad Institute of MIT and Harvard
    Massachusetts Institute of Technology)

  • Nir Hacohen

    (Broad Institute of MIT and Harvard
    Massachusetts General Hospital, Harvard Medical School
    Massachusetts General Hospital)

Abstract

Cytokines mediate cell–cell communication in the immune system and represent important therapeutic targets1–3. A myriad of studies have highlighted their central role in immune function4–13, yet we lack a global view of the cellular responses of each immune cell type to each cytokine. To address this gap, we created the Immune Dictionary, a compendium of single-cell transcriptomic profiles of more than 17 immune cell types in response to each of 86 cytokines (>1,400 cytokine–cell type combinations) in mouse lymph nodes in vivo. A cytokine-centric view of the dictionary revealed that most cytokines induce highly cell-type-specific responses. For example, the inflammatory cytokine interleukin-1β induces distinct gene programmes in almost every cell type. A cell-type-centric view of the dictionary identified more than 66 cytokine-driven cellular polarization states across immune cell types, including previously uncharacterized states such as an interleukin-18-induced polyfunctional natural killer cell state. Based on this dictionary, we developed companion software, Immune Response Enrichment Analysis, for assessing cytokine activities and immune cell polarization from gene expression data, and applied it to reveal cytokine networks in tumours following immune checkpoint blockade therapy. Our dictionary generates new hypotheses for cytokine functions, illuminates pleiotropic effects of cytokines, expands our knowledge of activation states of each immune cell type, and provides a framework to deduce the roles of specific cytokines and cell–cell communication networks in any immune response.

Suggested Citation

  • Ang Cui & Teddy Huang & Shuqiang Li & Aileen Ma & Jorge L. Pérez & Chris Sander & Derin B. Keskin & Catherine J. Wu & Ernest Fraenkel & Nir Hacohen, 2024. "Dictionary of immune responses to cytokines at single-cell resolution," Nature, Nature, vol. 625(7994), pages 377-384, January.
  • Handle: RePEc:nat:nature:v:625:y:2024:i:7994:d:10.1038_s41586-023-06816-9
    DOI: 10.1038/s41586-023-06816-9
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    Cited by:

    1. Avishai Maliah & Nadine Santana-Magal & Shivang Parikh & Sagi Gordon & Keren Reshef & Yuval Sade & Aseel Khateeb & Alon Richter & Amit Gutwillig & Roma Parikh & Tamar Golan & Matan Krissi & Manho Na &, 2024. "Crosslinking of Ly6a metabolically reprograms CD8 T cells for cancer immunotherapy," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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