Unknown

Dataset Information

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


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 t

SUBMITTER: Melo Ferreira R 

PROVIDER: S-EPMC8262485 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature