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Parabiosis and single-cell RNA sequencing reveal a limited contribution of monocytes to myofibroblasts in kidney fibrosis
Rafael Kramann, Flavia Machado, Haojia Wu, Tetsuro Kusaba, Konrad Hoeft, Rebekka K. Schneider, Benjamin D. Humphreys
Rafael Kramann, Flavia Machado, Haojia Wu, Tetsuro Kusaba, Konrad Hoeft, Rebekka K. Schneider, Benjamin D. Humphreys
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Research Article Nephrology

Parabiosis and single-cell RNA sequencing reveal a limited contribution of monocytes to myofibroblasts in kidney fibrosis

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Abstract

Fibrosis is the common final pathway of virtually all chronic injury to the kidney. While it is well accepted that myofibroblasts are the scar-producing cells in the kidney, their cellular origin is still hotly debated. The relative contribution of proximal tubular epithelium and circulating cells, including mesenchymal stem cells, macrophages, and fibrocytes, to the myofibroblast pool remains highly controversial. Using inducible genetic fate tracing of proximal tubular epithelium, we confirm that the proximal tubule does not contribute to the myofibroblast pool. However, in parabiosis models in which one parabiont is genetically labeled and the other is unlabeled and undergoes kidney fibrosis, we demonstrate that a small fraction of genetically labeled renal myofibroblasts derive from the circulation. Single-cell RNA sequencing confirms this finding but indicates that these cells are circulating monocytes, express few extracellular matrix or other myofibroblast genes, and express many proinflammatory cytokines. We conclude that this small circulating myofibroblast progenitor population contributes to renal fibrosis by paracrine rather than direct mechanisms.

Authors

Rafael Kramann, Flavia Machado, Haojia Wu, Tetsuro Kusaba, Konrad Hoeft, Rebekka K. Schneider, Benjamin D. Humphreys

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Figure 6

Single-cell RNA sequencing data identify circulating myofibroblast progenitors as monocytes.

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Single-cell RNA sequencing data identify circulating myofibroblast proge...
(A) Proliferative state in the 2 cell clusters based on gene expression. (B and C) Transcription factor (TF) activity network based on mRNA expression of TF target genes in the 2 cell populations. (D) Comparison of both cell populations with a Drop-Seq data set (10× genomics) of human peripheral blood mononuclear cells (n = 33,000 cells, healthy donor). The color key denotes the Pearson’s correlation coefficient (rho) between mouse and human cells. Rho has a value between –1 and 1. A greater rho value indicates higher correlation between the two cell types.

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