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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 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.

Spatial omics technologies at multimodal and single cell/subcellular level.

> 商业许可源文 · EUROPE_PMC · [CC-BY](https://creativecommons.org/licenses/by/)

书目信息

  • 引用:Park J, Kim J, Lewy T, Rice CM, Elemento O, Rendeiro AF, Mason CE. (2022). Spatial omics technologies at multimodal and single cell/subcellular level. Genome biology. PMID 36514162 · PMC9746133 · DOI 10.1186/s13059-022-02824-6
  • 证据类型:REVIEW
  • 主题:single-cell、spatial-omics
  • 被引次数(采集时):97
  • 原始记录:[Europe PMC](https://europepmc.org/article/MED/36514162)
  • 来源许可:[CC-BY](https://creativecommons.org/licenses/by/)
  • 作者摘要(按来源许可复用)

    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.

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    Spatial omics technologies at multimodal and single cell/subcellular level. · GeniOmics