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

Spatial omics technologies at multimodal and single cell/subcellular level.
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多模式和单细胞/亚细胞水平的空间组学技术。

DOI:
10.1186/s13059-022-02824-6
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发表时间:
2022-12-13
期刊:
影响因子:
12.3
通讯作者:
--
中科院分区:
生物学1区
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空间组学技术能够更深入地了解目标组织内的细胞结构和相互作用。这些检测方法可以识别组织中具有不同转录本或蛋白质丰度的特定区域或区间,描绘它们的相互作用,并在定义细胞表型方面补充其他方法。多种空间方法正在被开发和商业化;然而,这些技术在空间分辨率、多重检测能力、规模/通量以及覆盖范围方面存在差异。在此,我们综述了从单细胞到亚细胞分辨率的空间组学技术和分析工具的当前状况及未来前景,以便为研究和临床应用提供一个全面的视角。 网络版包含补充材料,可在10.1186/s13059 - 022 - 02824 - 6获取。
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. The online version contains supplementary material available at 10.1186/s13059-022-02824-6.
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