NatureImmunologyPeer-reviewed journal article
Functional Diversity of Memory CD8 T Cells is Spatiotemporally Imprinted
Miguel Reina‐CamposiD, Alexander MonelliD, Amir FerryiD, Vida LunaiD, Kitty P. Cheung, Giovanni GallettiiD, Nicole E. ScharpingiD, Kennidy K. TakeharaiD, Sara QuoniD, Peter P. ChallitaiD, Brigid Sweeney BolandiD, Yun Hsuan LiniD, William H. WongiD, Cynthia S. Indralingam, Hayley NeadeauiD, Suzie Alarcón, Gene Wei-Ming YeoiD, John T. ChangiD, Maximilian HeegiD, Ananda W. GoldrathiD
Abstract
Tissue-resident memory CD8 T cells (TRM) kill infected cells and recruit additional immune cells to limit pathogen invasion at barrier sites. Small intestinal (SI) TRM cells consist of distinct subpopulations with higher expression of effector molecules or greater memory potential. We hypothesized that occupancy of diverse anatomical niches imprints these distinct TRM transcriptional programs. We leveraged human samples and a murine model of acute systemic viral infection to profile the location and transcriptome of pathogen-specific TRM cell differentiation at single-transcript resolution. We developed computational approaches to capture cellular locations along three anatomical axes of the small intestine and to visualize the spatiotemporal distribution of cell types and gene expression. TRM populations were spatially segregated: with more effector- and memory-like TRM preferentially localized at the villus tip or crypt, respectively. Modeling ligand-receptor activity revealed patterns of key cellular interactions and cytokine signaling pathways that initiate and maintain TRM differentiation and functional diversity, including different TGF{beta} sources. Alterations in the cellular networks induced by loss of TGF{beta}RII expression revealed a model consistent with TGF{beta} promoting progressive TRM maturation towards the villus tip. Ultimately, we have developed a framework for the study of immune cell interactions with the spectrum of tissue cell types, revealing that T cell location and functional state are fundamentally intertwined.
- organism: human
- organism: mouse
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: spatial domain detection
- approach: deep learning
- approach: statistical model
- Citations
- 117
- FWCI
- 35.83
- Field percentile
- top 1%
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