Genome Biology (Dec 2022)

Spatial omics technologies at multimodal and single cell/subcellular level

  • Jiwoon Park,
  • Junbum Kim,
  • Tyler Lewy,
  • Charles M. Rice,
  • Olivier Elemento,
  • André F. Rendeiro,
  • Christopher E. Mason

DOI
https://doi.org/10.1186/s13059-022-02824-6
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 19

Abstract

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Abstract Spatial omics technologies enable a deeper understanding of cellular organizations and interactions within a tissue of interest. These assays can identify specific compartments or regions in a tissue with differential transcript or protein abundance, delineate their interactions, and complement other methods in defining cellular phenotypes. A variety of spatial methodologies are being developed and commercialized; however, these techniques differ in spatial resolution, multiplexing capability, scale/throughput, and coverage. Here, we review the current and prospective landscape of single cell to subcellular resolution spatial omics technologies and analysis tools to provide a comprehensive picture for both research and clinical applications.