Spatially resolved transcriptomic analysis of acute kidney injury in a female murine model

Single cell RNA sequencing efforts have aided in the identification of cell types and states important in injury, repair, and failed repair. These transcriptomic atlases lack spatial information, complicating interpretation of relevant cellular interactions. Therefore, we generated a spatial time course of female ischemic injury, defining temporal and location specific gene expression patterns of injury markers. Gene expression and cell type interactions were resolved across time points using computational tools, Giotto and SPOTlight. These results have been packaged into an interactive data visualization tool for gene target discovery and validation throughout the kidney and AKI research communities.