# A single-cell cytokine dictionary of human peripheral blood

**Authors:** Lukas Oesinghaus, Sören Becker, Larsen Vornholz, Efthymia Papalexi, Joey Pangallo, Amir Ali Moinfar, Jenni Liu, Alyssa La Fleur, Maiia Shulman, Simone Marrujo, Bryan Hariadi, Crina Curca, Alexa Suyama, Maria Nigos, Oliver Sanderson, Hoai Nguyen, Vuong K. Tran, Ajay A. Sapre, Olivia Kaplan, Sarah Schroeder, Alec Salvino, Guillermo Gallareta-Olivares, Ryan Koehler, Gary Geiss, Alexander B. Rosenberg, Charles M. Roco, Georg Seelig, Fabian J. Theis

PMC · DOI: 10.21203/rs.3.rs-8337240/v1 · 2025-12-12

## TL;DR

This study creates a detailed map of how human immune cells respond to cytokines, offering insights into immune communication and disease.

## Contribution

The first comprehensive single-cell transcriptional resource mapping human cytokine responses across immune cell types.

## Key findings

- Donor-specific and shared cytokine response signatures were identified across 12 individuals.
- Cytokine-induced immune programs were organized into functional modules using single-cell data.
- A cytokine communication network revealed IL-32-β's role in rewiring myeloid and T-cell responses.

## Abstract

Cytokines orchestrate immune responses, yet we still lack a comprehensive understanding of their specific effects across human immune cells due to their pleiotropy, context dependence and extensive functional redundancy. Here, we present a Human Cytokine Dictionary, created from high-resolution single-cell transcriptomes of 9,697,974 human peripheral blood mononuclear cells (PBMC) from 12 donors stimulated in vitro with 90 different cytokines. We describe donor-specific response variation and uncover robust consensus cytokine signatures across individuals. We then delineate similarities between cytokine response profiles, and derive cytokine-induced immune programs that organize responsive genes into data-driven, biologically interpretable functional modules. By integrating cell type-specific responses with expression of cytokines, we infer higher-order cell-to-cell and cytokine-to-cytokine communication networks exemplified by an IL-32-β-initiated signaling cascade, which rewires myeloid programs by inducing neutrophil-recruiting factors while suppressing Th1-responses and promoting IL-10-family cytokines. Finally, we show how the Human Cytokine Dictionary enables the interpretation of cytokine-driven immune responses in other studies and disease contexts, including systemic lupus erythematosus, multiple sclerosis, and non-small cell lung carcinoma. Together, the Human Cytokine Dictionary constitutes the first comprehensive cell type-resolved transcriptional screen of human cytokine responses and provides an essential open-access, easy-to-use community resource with accompanying software package to advance our understanding of cytokine biology in human disease and guide therapeutic discovery.

## Linked entities

- **Proteins:** IL32 (interleukin 32), IL10 (interleukin 10)
- **Diseases:** systemic lupus erythematosus (MONDO:0007915), multiple sclerosis (MONDO:0005301), non-small cell lung carcinoma (MONDO:0005233)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Genes:** IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, IL32 (interleukin 32) [NCBI Gene 9235] {aka IL-32alpha, IL-32beta, IL-32delta, IL-32gamma, NK4, TAIF}
- **Diseases:** non-small cell lung carcinoma (MESH:D002289), multiple sclerosis (MESH:D009103), systemic lupus erythematosus (MESH:D008180)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12776526/full.md

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Source: https://tomesphere.com/paper/PMC12776526