Functional Diversity of Memory CD8 T Cells is Spatiotemporally Imprinted.
Miguel Reina-Campos, Alexander Monell, Amir Ferry, Vida Luna, Kitty P Cheung, Giovanni Galletti, Nicole E Scharping, Kennidy K Takehara, Sara Quon, Brigid Boland, Yun Hsuan Lin, William H Wong, Cynthia S Indralingam, Gene W Yeo, John T Chang, Maximilian Heeg, Ananda W Goldrath
bioRxiv : the preprint server for biology · 2024
Abstract
Tissue-resident memory CD8 T cells (T<sub>RM</sub>) kill infected cells and recruit additional immune cells to limit pathogen invasion at barrier sites. Small intestinal (SI) T<sub>RM</sub> 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 T<sub>RM</sub> transcriptional programs. We leveraged human samples and a murine model of acute systemic viral infection to profile the location and transcriptome of pathogen-specific T<sub>RM</sub> 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. T<sub>RM</sub> populations were spatially segregated: with more effector- and memory-like T<sub>RM</sub> 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 T<sub>RM</sub> differentiation and functional diversity, including different TGFβ sources. Alterations in the cellular networks induced by loss of TGFβRII expression revealed a model consistent with TGFβ promoting progressive T<sub>RM</sub> 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.
Funding 11 grants
| Grant | Funder |
|---|---|
| P30 DK120515 | NIDDK NIH HHS (United States) |
| R01 AI150282 | NIAID NIH HHS (United States) |
| P01 AI132122 | NIAID NIH HHS (United States) |
| F31 AI176705 | NIAID NIH HHS (United States) |
| P30 NS047101 | NINDS NIH HHS (United States) |
| R01 AI072117 | NIAID NIH HHS (United States) |
| R37 AI067545 | NIAID NIH HHS (United States) |
| R01 AI179952 | NIAID NIH HHS (United States) |
| R01 CA273432 | NCI NIH HHS (United States) |
| K00 CA222711 | NCI NIH HHS (United States) |
| R01 AI067545 | NIAID NIH HHS (United States) |