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Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury
Ricardo Melo Ferreira, … , Tarek M. El-Achkar, Michael T. Eadon
Ricardo Melo Ferreira, … , Tarek M. El-Achkar, Michael T. Eadon
Published May 18, 2021
Citation Information: JCI Insight. 2021;6(12):e147703. https://doi.org/10.1172/jci.insight.147703.
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Resource and Technical Advance Nephrology

Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury

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Abstract

Single-cell sequencing studies have characterized the transcriptomic signature of cell types within the kidney. However, the spatial distribution of acute kidney injury (AKI) is regional and affects cells heterogeneously. We first optimized coordination of spatial transcriptomics and single-nuclear sequencing data sets, mapping 30 dominant cell types to a human nephrectomy. The predicted cell-type spots corresponded with the underlying histopathology. To study the implications of AKI on transcript expression, we then characterized the spatial transcriptomic signature of 2 murine AKI models: ischemia/reperfusion injury (IRI) and cecal ligation puncture (CLP). Localized regions of reduced overall expression were associated with injury pathways. Using single-cell sequencing, we deconvoluted the signature of each spatial transcriptomic spot, identifying patterns of colocalization between immune and epithelial cells. Neutrophils infiltrated the renal medulla in the ischemia model. Atf3 was identified as a chemotactic factor in S3 proximal tubules. In the CLP model, infiltrating macrophages dominated the outer cortical signature, and Mdk was identified as a corresponding chemotactic factor. The regional distribution of these immune cells was validated with multiplexed CO-Detection by indEXing (CODEX) immunofluorescence. Spatial transcriptomic sequencing complemented single-cell sequencing by uncovering mechanisms driving immune cell infiltration and detection of relevant cell subpopulations.

Authors

Ricardo Melo Ferreira, Angela R. Sabo, Seth Winfree, Kimberly S. Collins, Danielle Janosevic, Connor J. Gulbronson, Ying-Hua Cheng, Lauren Casbon, Daria Barwinska, Michael J. Ferkowicz, Xiaoling Xuei, Chi Zhang, Kenneth W. Dunn, Katherine J. Kelly, Timothy A. Sutton, Takashi Hato, Pierre C. Dagher, Tarek M. El-Achkar, Michael T. Eadon

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Figure 9

Colocalization of immune clusters in the cecal ligation puncture model.

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Colocalization of immune clusters in the cecal ligation puncture model.
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(A) Selected single-cell immune clusters were transferred over the cecal ligation puncture (CLP) spatial transcriptomic section. (B) The odds ratio of colocalization for each pair of immune and epithelial clusters in CLP when compared with the sham. (C) Infiltrating macrophages localized to the outer cortex and inner medulla. Infiltrating macrophage localization is depicted in the CLP (left), sham (top-right), and ischemia/reperfusion injury (bottom-right). (D) The differentially expressed genes (DEGs) between the PT (S1/S2/S3-C) spots colocalizing with infiltrating macrophages (right) and the ones colocalizing with other immune clusters in CLP. (E) The gene expression of MdK in CLP. (F) The expression distribution of Mdk in selected clusters (***P < 10–15) as calculated by a Fisher’s exact test. (G) The expression of Mdk in the single-cell data. PT, proximal tubule; S1, S2, S3, segments of PT; S3-C, cortical section of S3; S3-OS, outer stripe section of S3; TAL, thick ascending limb; DCT, distal convoluted tubule; CNT, connecting tubule; CD, collecting duct; PC, principal cells; IC, intercalated cells; pDC, plasmacytoid DCs; cDC, conventional DCs; Res. MΦ, resident macrophages; Inf. MΦ, infiltrating macrophages. Each spot is 55 μm in diameter.

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