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Organoid single cell profiling identifies a transcriptional signature of glomerular disease
Jennifer L. Harder, … , European Renal cDNA Bank (ERCB), Nephrotic Syndrome Study Network (NEPTUNE)
Jennifer L. Harder, … , European Renal cDNA Bank (ERCB), Nephrotic Syndrome Study Network (NEPTUNE)
Published January 10, 2019
Citation Information: JCI Insight. 2019;4(1):e122697. https://doi.org/10.1172/jci.insight.122697.
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Research Article Nephrology

Organoid single cell profiling identifies a transcriptional signature of glomerular disease

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Abstract

Podocyte injury is central to many forms of kidney disease, but transcriptional signatures reflecting podocyte injury and compensation mechanisms are challenging to analyze in vivo. Human kidney organoids derived from pluripotent stem cells (PSCs), a potentially new model for disease and regeneration, present an opportunity to explore the transcriptional plasticity of podocytes. Here, transcriptional profiling of more than 12,000 single cells from human PSC–derived kidney organoid cultures was used to identify robust and reproducible cell lineage gene expression signatures shared with developing human kidneys based on trajectory analysis. Surprisingly, the gene expression signature characteristic of developing glomerular epithelial cells was also observed in glomerular tissue from a kidney disease cohort. This signature correlated with proteinuria and inverse eGFR, and it was confirmed in an independent podocytopathy cohort. Three genes in particular were further characterized as potentially novel components of the glomerular disease signature. We conclude that cells in human PSC–derived kidney organoids reliably recapitulate the developmental transcriptional program of podocytes and other cell lineages in the human kidney and that transcriptional profiles seen in developing podocytes are reactivated in glomerular disease. Our findings demonstrate an approach to identifying potentially novel molecular programs involved in the pathogenesis of glomerulopathies.

Authors

Jennifer L. Harder, Rajasree Menon, Edgar A. Otto, Jian Zhou, Sean Eddy, Noel L. Wys, Christopher O’Connor, Jinghui Luo, Viji Nair, Cristina Cebrian, Jason R. Spence, Markus Bitzer, Olga G. Troyanskaya, Jeffrey B. Hodgin, Roger C. Wiggins, Benjamin S. Freedman, Matthias Kretzler, European Renal cDNA Bank (ERCB), Nephrotic Syndrome Study Network (NEPTUNE)

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Figure 2

Kidney organoids profiled by single cell transcriptomics reveal spectrum of maturing nephron elements.

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Kidney organoids profiled by single cell transcriptomics reveal spectrum...
(A) t-SNE plot including all cell clusters generated from scRNA-seq analysis of whole wells of kidney organoids. n, number of transcriptomes from 7 datasets from 4 individual experiments, 3 technical replicates. Dotted line encircles kidney clusters. (B) Violin plots showing relative expression of selected genes for each cell cluster in A. (C) t-SNE plot showing selected kidney cell populations in whole wells of kidney organoids, identified by clustering similar single cell transcriptomes. (D) Overlay t-SNE plots of 7 individual datasets contributing to C. (E) t-SNE plot showing all cell populations present in isolated organoids. Data representative of 3 separate experiments. (F) Violin plots for cell clusters in F, as in B. (G) Top differentially expressed genes in order of decreasing significance within cells of these clusters compared with other cell clusters from C on left, and F on right. Calculated using Seurat’s default parameters for nonparametric Wilcoxon rank sum test, reported with adjusted P values. LOH, loop of Henle. Gene names not italicized for ease of viewing in B, F, and G. See related Supplemental Figure 1, Supplemental Table 1, and Supplemental Table 2.

Copyright © 2023 American Society for Clinical Investigation
ISSN 2379-3708

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