利用二次淋巴组织中免疫滤泡的多重成像技术进行空间免疫分型

Mayar Allam, Thomas Hu, Zhou Fang, Michelle Pi, Ankur Singh, Ahmet F Coskun
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摘要

继发性淋巴器官(SLO)包括扁桃体、淋巴结和佩耶氏斑块,具有互补的免疫功能。然而,人们对 SLO 中免疫细胞和细胞外基质(ECM)的空间组织知之甚少。传统的成像仅限于少数标记物,限制了我们对 SLO 之间差异的了解。在这里,成像质控细胞仪(IMC)通过以亚细胞分辨率同时分析 SLO 组织中的 25 种复合物蛋白质,弥补了这一不足。抗体组针对免疫、基质、趋化因子、表观遗传和功能标记物。为了进行可靠的细胞鉴定,我们开发了一种计算工作流程 SpatialVizPheno,使用两种方法对 999,970 个细胞进行空间表型,包括手动选取和半监督选取、迭代聚类和注释。淋巴结中 B 细胞的密度最高,而肠道组织中调节性和滤泡辅助性 T 细胞的比例最高。SpatialVizPheno 确定了淋巴组织中滤泡树突状细胞与基质细胞、浆细胞/浆细胞和基质细胞之间最普遍的相互作用。在扁桃体和淋巴结组织中,胶原富集区与 B 细胞滤泡的空间定向有关,但在肠道淋巴组织中则没有。不同 SLO 组织中免疫表型和 ECM 的这种空间差异可用于量化细胞组织与最终免疫反应之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial immunophenotyping using multiplexed imaging of immune follicles in secondary lymphoid tissues
Secondary lymphoid organs (SLOs), including tonsils, lymph nodes, and Peyer’s Patches, exhibit complementary immune functions. However, little is known about the spatial organization of immune cells and extracellular matrix (ECM) in the SLOs. Traditional imaging is limited to a few markers, confining our understanding of the differences between the SLOs. Herein, Imaging mass cytometry (IMC) addressed this gap by simultaneously profiling 25-plex proteins in SLO tissues at subcellular resolution. The antibody panel targeted immune, stromal, chemokine, epigenetic, and functional markers. For robust cell identification, a computational workflow SpatialVizPheno was developed to spatially phenotype 999,970 cells using two approaches, including manual gating and semi-supervised gating, iterative clustering, and annotation. Lymph nodes exhibited the highest density of B cells while the intestinal tissues contained the highest proportion of regulatory and follicular helper T cells. SpatialVizPheno identified the most prevalent interaction between follicular dendritic cells and stromal cells, plasmablasts/plasma cells, and the stromal cells across the lymphoid tissues. Collagen-enriched regions were associated with the spatial orientation of B cell follicles in both tonsil and lymph node tissues, but not in intestinal lymphoid tissues. Such spatial differences of immunophenotypes and ECM in different SLO tissues can be used to quantify the relationship between cellular organization and ultimate immune responses.
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