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Heterogeneity and clonality of kidney-infiltrating T cells in murine lupus nephritis
Shuchi Smita, Maria Chikina, Mark J. Shlomchik, Jeremy S. Tilstra
Shuchi Smita, Maria Chikina, Mark J. Shlomchik, Jeremy S. Tilstra
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Research Article Immunology

Heterogeneity and clonality of kidney-infiltrating T cells in murine lupus nephritis

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Abstract

We previously found that kidney-infiltrating T cells (KITs) in murine lupus nephritis (LN) resembled dysfunctional T cells that infiltrate tumors. This unexpected finding raised the question of how to reconcile the “exhausted” phenotype of KITs with ongoing tissue destruction in LN. To address this, we performed single-cell RNA-Seq and TCR-Seq of KITs in murine lupus models. We found that CD8+ KITs existed first in a transitional state, before clonally expanding and evolving toward exhaustion. On the other hand, CD4+ KITs did not fit into current differentiation paradigms but included both hypoxic and cytotoxic subsets with a pervasive exhaustion signature. Thus, autoimmune nephritis is unlike acute pathogen immunity; rather, the kidney microenvironment suppresses T cells by progressively inducing exhausted states. Our findings suggest that LN, a chronic condition, results from slow evolution of damage caused by dysfunctional T cells and their precursors on the way to exhaustion. These findings have implications for both autoimmunity and tumor immunology.

Authors

Shuchi Smita, Maria Chikina, Mark J. Shlomchik, Jeremy S. Tilstra

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Figure 6

High-resolution clustering of CD8+ T cells identifies unique functional phenotypes.

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High-resolution clustering of CD8+ T cells identifies unique functional ...
(A) UMAP of CD8+ T cells from Main-Seq delineating 9 clusters. (B) UMAP with overlay exhibiting assignment of cell source as determined by HTO. (C) Heatmap shows top significant (FDR < 0.01) DEGs associated with each CD8+ cluster and their expression at single-cell level in columns. (D–I) GSEA performed in each cell by Wilcoxon’s test (–log10 [P value]) using published reference gene signatures (Supplemental Table 1), overlaid onto the UMAP to identify CD8 phenotypes. Clusters are outlined as per A. This included gene signatures for (D) resident memory (TRM), (E) circulating/lymphoid (Tperiph), (F) exhaustion (TEX), (G) effector memory (TEM), (H) central memory (TCM), and (I) hypoxia.

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