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Single-cell transcriptomic analysis of renal allograft rejection reveals insights into intragraft TCR clonality
Tiffany Shi, … , E. Steve Woodle, David A. Hildeman
Tiffany Shi, … , E. Steve Woodle, David A. Hildeman
Published May 25, 2023
Citation Information: J Clin Invest. 2023;133(14):e170191. https://doi.org/10.1172/JCI170191.
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Research Article Immunology

Single-cell transcriptomic analysis of renal allograft rejection reveals insights into intragraft TCR clonality

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Abstract

Bulk analysis of renal allograft biopsies (rBx) identified RNA transcripts associated with acute cellular rejection (ACR); however, these lacked cellular context critical to mechanistic understanding of how rejection occurs despite immunosuppression (IS). We performed combined single-cell RNA transcriptomic and TCR-α/β sequencing on rBx from patients with ACR under differing IS drugs: tacrolimus, iscalimab, and belatacept. We found distinct CD8+ T cell phenotypes (e.g., effector, memory, exhausted) depending upon IS type, particularly within expanded CD8+ T cell clonotypes (CD8EXP). Gene expression of CD8EXP identified therapeutic targets that were influenced by IS type. TCR analysis revealed a highly restricted number of CD8EXP, independent of HLA mismatch or IS type. Subcloning of TCR-α/β cDNAs from CD8EXP into Jurkat 76 cells (TCR–/–) conferred alloreactivity by mixed lymphocyte reaction. Analysis of sequential rBx samples revealed persistence of CD8EXP that decreased, but were not eliminated, after successful antirejection therapy. In contrast, CD8EXP were maintained in treatment-refractory rejection. Finally, most rBx-derived CD8EXP were also observed in matching urine samples, providing precedent for using urine-derived CD8EXP as a surrogate for those found in the rejecting allograft. Overall, our data define the clonal CD8+ T cell response to ACR, paving the next steps for improving detection, assessment, and treatment of rejection.

Authors

Tiffany Shi, Ashley R. Burg, J. Timothy Caldwell, Krishna M. Roskin, Cyd M. Castro-Rojas, P. Chukwunalu Chukwuma, George I. Gray, Sara G. Foote, Jesus A. Alonso, Carla M. Cuda, David A. Allman, James S. Rush, Catherine H. Regnier, Grazyna Wieczorek, Rita R. Alloway, Adele R. Shields, Brian M. Baker, E. Steve Woodle, David A. Hildeman

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Figure 2

Diverse immune cells infiltrate during kidney allograft rejection.

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Diverse immune cells infiltrate during kidney allograft rejection.
Index...
Index samples from the 10 participants undergoing rejection were integrated, clusters annotated as nonimmune cells were removed, and the data were renormalized and reclustered using Seurat. (A) UMAP plot shows immune-cell clusters and accompanying annotations. (B) Violin plots display the relative gene expression levels of indicated genes across each cluster. (C) Samples were segregated according to maintenance IS type. UMAP plots show immune-cell clustering of samples from participants with rejection under tacrolimus (left plot, shades of mustard), belatacept (middle plot, shades of blue), or iscalimab (right plot, shades of pink) maintenance IS. (D) Frequency of cell types within each sample displayed in bar graphs. Statistical analyses revealed a significantly increased proportion of CD8+ T cells in the immune infiltration as compared with other immune subtypes (n = 10). One-way ANOVA. ***P < 0.0006; **P < 0.007.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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