GSE279255
GSE GEOTissue-resident memory CD8 T Cell Diversity is Spatiotemporally Imprinted
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Summary
Tissue-resident memory CD8 T cells (TRM) provide protection from infection at barrier sites. In the small intestine, TRM cells are found in at least two distinct subpopulations: one with higher expression of effector molecules and another with greater memory potential. However, the origins of this diversity remain unknown. We proposed that distinct tissue niches drive TRM phenotypic heterogeneity. To test this, we leveraged spatial transcriptomics of human samples, a murine model of acute systemic viral infection, and a newly established strategy for pooled optically-encoded gene perturbations to profile the location, interaction, and transcriptome of pathogen-specific TRM 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. Our study reveals that the intestinal architectureâs regionalized signaling supports two distinct TRM cell states: differentiated TRM and progenitor-like TRM cells, located in the upper versus lower villus, respectively. This diversity is mediated by distinct ligand-receptor activities, cytokine gradients, and specialized cellular contacts. Blocking TGFï¢ or Cxcl9/10-sensing by antigen-specific CD8 T cells revealed a model consistent with anatomically delineated early fate specification. Ultimately, our framework for the study of tissue immune networks has revealed that T cell location and functional state are fundamentally intertwined.
Overall Design
Spatial transcriptomics (VisiumHD) of mouse small intestine at day 8 after infection with LCMV and adoptive transfer of P14 CD8 T cells
Analysis (2 steps)
View Data Processing- BCL files were demultiplexed into FASTQ files using spaceranger mkfastq followed by spaceranger count to generate the spatial representation of gene counts by matrix at 2 and 8 mm resolution binning
- Library strategy: VisiumHD spatial transcriptomics