Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease.
Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease.
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DOI：
10.1038/s42003-021-02166-2
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发表时间：
2021-05-27
影响因子：
5.9
通讯作者：
Coskun AF
中科院分区：
文献类型：
--
作者：
Allam M;Hu T;Cai S;Laxminarayanan K;Hughley RB;Coskun AF
生物组织的深层分子图谱是健康和疾病的指标。我们使用成像质量细胞术（IMC）在正常和慢性扁桃体炎病例的组织切片中获得空间分辨的20-plex蛋白数据。我们提出了SpatialViz，一套算法，通过可视化和量化不同多路组织成像数据中的单细胞粒度和解剖复杂性来探索多路组织图像中的空间关系。单细胞图和空间图证实CD68+细胞与颗粒酶B表达增强相关，CD3+细胞在慢性扁桃体炎中表现出CD4+表型的富集。SpatialViz揭示了细胞组织在不同解剖区域的形态分布，跨解剖类别的单细胞关联的空间解析，以及标记之间的距离图。空间地形图显示了不同组织层的独特组织结构。空间参考框架对健康和患病扁桃体的多重数据进行了基于网络的比较。SpatialViz广泛适用于多元组织生物学。Allam， Hu等人提出了SpatialViz，这是一套通过可视化和量化单细胞粒度和不同多路组织成像数据中的解剖复杂性来探索多路组织图像中的空间关系的算法。作者利用SpatialViz对正常和慢性扁桃体炎患者组织切片的20-plex蛋白数据进行分析，观察病变扁桃体与健康扁桃体中GrB和CD86的共表达以及CD3 + CD4+的富集，证明了SpatialViz是一种应用广泛的空间可视化方法。
Deep molecular profiling of biological tissues is an indicator of health and disease. We used imaging mass cytometry (IMC) to acquire spatially resolved 20-plex protein data in tissue sections from normal and chronic tonsillitis cases. We present SpatialViz, a suite of algorithms to explore spatial relationships in multiplexed tissue images by visualizing and quantifying single-cell granularity and anatomical complexity in diverse multiplexed tissue imaging data. Single-cell and spatial maps confirmed that CD68+ cells were correlated with the enhanced Granzyme B expression and CD3+ cells exhibited enrichment of CD4+ phenotype in chronic tonsillitis. SpatialViz revealed morphological distributions of cellular organizations in distinct anatomical areas, spatially resolved single-cell associations across anatomical categories, and distance maps between the markers. Spatial topographic maps showed the unique organization of different tissue layers. The spatial reference framework generated network-based comparisons of multiplex data from healthy and diseased tonsils. SpatialViz is broadly applicable to multiplexed tissue biology. Allam, Hu, et al. present SpatialViz, a suite of algorithms to explore spatial relationships in multiplexed tissue images by visualizing and quantifying single-cell granularity and anatomical complexity in diverse multiplexed tissue imaging data. The authors employ SpatialViz on 20-plex protein data in tissue sections from normal and chronic tonsillitis cases and observe GrB and CD86 coexpression and CD3 + CD4+ enrichment in diseased tonsils compared to healthy tonsils, and demonstrate the utility of SpatialViz as a wide-application spatial visualization method.
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