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