bioRxivImmunology
Single-cell transcriptomics identifies an effectorness gradient shaping the response of CD4+ T cells to cytokines
E. C. Gamez, B. Soskic, T. I. Roumeliotis, E. So, D. J. Smyth, M. Baldrighi, D. Wille, N. Nakic, J. Esparza-Gordillo, C. G. C. Larminie, P. G. Bronson, D. F. Tough, W. C. Rowan, J. S. Choudhary, G. Trynka
Abstract
Naive CD4+ T cells coordinate the immune response by acquiring an effector phenotype in response to cytokines. However, the cytokine responses in memory T cells remain largely understudied. We used quantitative proteomics, bulk RNA-seq and single-cell RNA-seq of over 40,000 human naive and memory CD4+ T cells to generate a detailed map of cytokine-regulated gene expression programs. We demonstrated that cytokine response differs substantially between naive and memory T cells and showed that memory cells are unable to differentiate into the Th2 phenotype. Moreover, memory T cells acquire a Th17-like phenotype in response to iTreg polarization. At the single-cell level, we demonstrated that T cells form a continuum which progresses from naive to effector memory T cells. This continuum is accompanied by a gradual increase in the expression levels of chemokines and cytokines and thus represents an effectorness gradient. Finally, we found that T cell cytokine responses are determined by where the cells lie in the effectorness gradient and identified genes whose expression is controlled by cytokines in an effectorness-dependent manner. Our results shed light on the heterogeneity of T cells and their responses to cytokines, provide insight into immune disease inflammation and could inform drug development.
- organism: human
- assay: bulk RNA-seq
- assay: scRNA-seq
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell signaling & trafficking
- research focus: host-pathogen & immune response
- approach: experimental assay
- approach: statistical model
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