ISH-based visualization techniques
Spatially resolved transcriptomics of kidney tissue
Eng C-HL, et al. Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+. Nature 2019; 568:235–239. doi: 10.1038/s41586-019-1049-y
Rudman-Melnick V, et al. Single-cell profiling of AKI in a murine model reveals novel transcriptional signatures, profibrotic phenotype, and epithelial-to-stromal crosstalk. J Am Soc Nephrol 2020; 31:2793–2814. doi: 10.1681/ASN.2020010052
Ståhl PL, et al. Visualization and analysis of gene expression in tissue sections by spatial transcriptomics. Science 2016; 353:78–82. doi: 10.1126/science.aaf2403
10X Genomics. Visium Spatial Gene Expression. Map the whole transcriptome within the tissue context. 2022. https://www.10xgenomics.com/products/spatial-gene-expression
Dixon EE, et al. Spatially resolved transcriptomic analysis of acute kidney injury in a female murine model. J Am Soc Nephrol 2022; 33:279–289. doi: 10.1681/ASN.2021081150
Kirita Y, et al. Cell profiling of mouse acute kidney injury reveals conserved cellular responses to injury. Proc Natl Acad Sci USA 2020; 117:15874–15883. doi: 10.1073/pnas.2005477117
Park J, et al. Single cell-transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease. Science 2018; 360:758–763. doi: 10.1126/science.aar2131
Melo Ferreira R, et al. Integration of spatial and single-cell transcriptomics localizes epithelial cell-immune cross-talk in kidney injury. JCI Insight 2021; 6:e147703. doi: 10.1172/jci.insight.147703
Janosevic D, et al. The orchestrated cellular and molecular responses of the kidney to endotoxin define a precise sepsis timeline. Elife 2021; 10:e62270. doi: 10.7554/eLife.62270