iScience (Apr 2022)

High-resolution Slide-seqV2 spatial transcriptomics enables discovery of disease-specific cell neighborhoods and pathways

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

Journal volume & issue
Vol. 25, no. 4
p. 104097

Abstract

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Summary: 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.

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