High-resolution Slide-seqV2 spatial transcriptomics enables discovery of disease-specific cell neighborhoods and pathways.
IF: 6.107
Cited by: 20


High-resolution spatial transcriptomics enables mapping of RNA expression directly from intact tissue sections; however, its utility for the elucidation of disease processes and therapeutically actionable pathways remains unexplored. We applied Slide-seqV2 to mouse and human kidneys, in healthy and distinct disease paradigms. First, we established the feasibility of Slide-seqV2 in tissue from nine distinct human kidneys, which revealed a cell neighborhood centered around a population of LYVE1+ macrophages. Second, in a mouse model of diabetic kidney disease, we detected changes in the cellular organization of the spatially restricted kidney filter and blood-flow-regulating apparatus. Third, in a mouse model of a toxic proteinopathy, we identified previously unknown, disease-specific cell neighborhoods centered around macrophages. In a spatially restricted subpopulation of epithelial cells, we discovered perturbations in 77 genes associated with the unfolded protein response. Our studies illustrate and experimentally validate the utility of Slide-seqV2 for the discovery of disease-specific cell neighborhoods.


Spatial Transcriptomics
Cell biology


Marshall, Jamie L
Noel, Teia
Wang, Qingbo S
Chen, Haiqi
Murray, Evan
Subramanian, Ayshwarya
Vernon, Katherine A
Bazua-Valenti, Silvana
Liguori, Katie
Keller, Keith
Stickels, Robert R
McBean, Breanna
Heneghan, Rowan M
Weins, Astrid
Macosko, Evan Z
Chen, Fei
Greka, Anna

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