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Single cell transcriptomics of mouse kidney transplants reveals a myeloid cell pathway for transplant rejection
Anil Dangi, Naveen R. Natesh, Irma Husain, Zhicheng Ji, Laura Barisoni, Jean Kwun, Xiling Shen, Edward B. Thorp, Xunrong Luo
Anil Dangi, Naveen R. Natesh, Irma Husain, Zhicheng Ji, Laura Barisoni, Jean Kwun, Xiling Shen, Edward B. Thorp, Xunrong Luo
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Research Article Immunology Transplantation

Single cell transcriptomics of mouse kidney transplants reveals a myeloid cell pathway for transplant rejection

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Abstract

Myeloid cells are increasingly recognized as major players in transplant rejection. Here, we used a murine kidney transplantation model and single cell transcriptomics to dissect the contribution of myeloid cell subsets and their potential signaling pathways to kidney transplant rejection. Using a variety of bioinformatic techniques, including machine learning, we demonstrate that kidney allograft–infiltrating myeloid cells followed a trajectory of differentiation from monocytes to proinflammatory macrophages, and they exhibited distinct interactions with kidney allograft parenchymal cells. While this process correlated with a unique pattern of myeloid cell transcripts, a top gene identified was Axl, a member of the receptor tyrosine kinase family Tyro3/Axl/Mertk (TAM). Using kidney transplant recipients with Axl gene deficiency, we further demonstrate that Axl augmented intragraft differentiation of proinflammatory macrophages, likely via its effect on the transcription factor Cebpb. This, in turn, promoted intragraft recruitment, differentiation, and proliferation of donor-specific T cells, and it enhanced early allograft inflammation evidenced by histology. We conclude that myeloid cell Axl expression identified by single cell transcriptomics of kidney allografts in our study plays a major role in promoting intragraft myeloid cell and T cell differentiation, and it presents a potentially novel therapeutic target for controlling kidney allograft rejection and improving kidney allograft survival.

Authors

Anil Dangi, Naveen R. Natesh, Irma Husain, Zhicheng Ji, Laura Barisoni, Jean Kwun, Xiling Shen, Edward B. Thorp, Xunrong Luo

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Figure 2

Specific genes are differentially expressed by myeloid cell clusters from rejecting versus tolerized kidney allografts.

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Specific genes are differentially expressed by myeloid cell clusters fro...
(A) The heatmap showing the standardized expression values of all significantly differential genes (FDR < 0.05) in the Macro-1 cell cluster from rejecting versus tolerized allografts. Each row represents a gene, and each column represents a pseudobulk sample by pooling Macro-1 cells for each rejecting or tolerized sample. Normalized expression values and FDR were obtained using DESeq2. The expression values were standardized for each gene across all pseudobulk samples. (B) Volcano plot for the Macro-1 cell cluster showing the log2 fold change (x axis) and –log10(FDR) (y axis) of the differential analysis. Each dot represents a gene. The dashed horizontal gray line represents an FDR value of 0.05. Significant genes (FDR < 0.05) are marked as red, and other genes are marked as gray. Names of the significant genes are displayed alongside the dots. (C) The heatmap of relative expression of DEGs in the Macro/Mono cell cluster from rejecting versus tolerized kidney allografts similarly generated as in A. Highlighted genes in A and C are representative of a ribosomal protein gene signature. (D) Volcano plot for the Macro/Mono cell cluster similarly generated as in B.

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