Spatial omics technologies at multimodal and single cell/subcellular level

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 othe...

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Detalles Bibliográficos
Autores principales: Park, Jiwoon, Kim, Junbum, Lewy, Tyler, Rice, Charles M., Elemento, Olivier, Rendeiro, André F., Mason, Christopher E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746133/
https://www.ncbi.nlm.nih.gov/pubmed/36514162
http://dx.doi.org/10.1186/s13059-022-02824-6
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02824-6.

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