A single-cell cytokine dictionary of human peripheral blood

Lukas Oesinghaus(University of Washington), Sören Becker(Helmholtz Zentrum München), Larsen Vornholz(Helmholtz Zentrum München), Efthymia Papalexi(Pulse Biosciences (United States)), Joey Pangallo(Pulse Biosciences (United States)), Amir Ali Moinfar(Helmholtz Zentrum München), J.-M. Liu(Helmholtz Zentrum München), Alyssa La Fleur(University of Washington), Maiia Shulman(Helmholtz Zentrum München), Simone Marrujo(Pulse Biosciences (United States)), Bryan Hariadi(Pulse Biosciences (United States)), Crina Curca(Pulse Biosciences (United States)), Alexa Suyama(Pulse Biosciences (United States)), Maria Nigos(Pulse Biosciences (United States)), Oliver Sanderson(Pulse Biosciences (United States)), Hoai Viet Nguyen(Pulse Biosciences (United States)), Vuong Tran(Pulse Biosciences (United States)), Ajay Sapre(Pulse Biosciences (United States)), Olivia Kaplan(Pulse Biosciences (United States)), Sarah Schroeder(Pulse Biosciences (United States)), Alec Salvino(Pulse Biosciences (United States)), Guillermo Gallareta-Olivares(Pulse Biosciences (United States)), Ryan Koehler(Pulse Biosciences (United States)), Gary Geiss(Pulse Biosciences (United States)), Alexander Rosenberg(Pulse Biosciences (United States)), Charles M. Roco(Pulse Biosciences (United States)), Georg Seelig(University of Washington), Fabian J. Theis(Helmholtz Zentrum München)
bioRxiv (Cold Spring Harbor Laboratory)
December 15, 2025
Cited by 7Open Access
Full Text

Abstract

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.


Related Papers

No related papers found

Powered by citation graph analysis