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皮肤的 3D 重建和免疫细胞密度、血管距离的空间映射,以及日光照射和衰老的影响。

3D reconstruction of skin and spatial mapping of immune cell density, vascular distance and effects of sun exposure and aging.

机构信息

GE Research Center, 1 Research Circle, Niskayuna, NY, 12309, USA.

Indiana University, 107 South Indiana Ave, Bloomington, IN, 47405, USA.

出版信息

Commun Biol. 2023 Jul 19;6(1):718. doi: 10.1038/s42003-023-04991-z.

Abstract

Mapping the human body at single cell resolution in three dimensions (3D) is important for understanding cellular interactions in context of tissue and organ organization. 2D spatial cell analysis in a single tissue section may be limited by cell numbers and histology. Here we show a workflow for 3D reconstruction of multiplexed sequential tissue sections: MATRICS-A (Multiplexed Image Three-D Reconstruction and Integrated Cell Spatial - Analysis). We demonstrate MATRICS-A in 26 serial sections of fixed skin (stained with 18 biomarkers) from 12 donors aged between 32-72 years. Comparing the 3D reconstructed cellular data with the 2D data, we show significantly shorter distances between immune cells and vascular endothelial cells (56 µm in 3D vs 108 µm in 2D). We also show 10-70% more T cells (total) within 30 µm of a neighboring T helper cell in 3D vs 2D. Distances of p53, DDB2 and Ki67 positive cells to the skin surface were consistent across all ages/sun exposure and largely localized to the lower stratum basale layer of the epidermis. MATRICS-A provides a framework for analysis of 3D spatial cell relationships in healthy and aging organs and could be further extended to diseased organs.

摘要

以单细胞分辨率在三维(3D)水平上绘制人体图谱对于理解组织和器官组织中细胞间的相互作用非常重要。在单个组织切片中进行 2D 空间细胞分析可能会受到细胞数量和组织学的限制。在这里,我们展示了一种对多重连续组织切片进行 3D 重建的工作流程:MATRICS-A(多重图像三维重建和集成细胞空间分析)。我们在 12 名年龄在 32-72 岁之间的供体的 26 个固定皮肤的连续切片(用 18 种生物标志物染色)中展示了 MATRICS-A。将 3D 重建的细胞数据与 2D 数据进行比较,我们发现免疫细胞和血管内皮细胞之间的距离明显缩短(3D 为 56μm,2D 为 108μm)。我们还发现,在 3D 中,有 10-70%的 T 细胞(总数)在 30μm 范围内紧邻辅助性 T 细胞,而在 2D 中则为 30μm。p53、DDB2 和 Ki67 阳性细胞与皮肤表面的距离在所有年龄/日晒暴露中都是一致的,并且主要定位于表皮的基底下层。MATRICS-A 为分析健康和衰老器官中 3D 空间细胞关系提供了一个框架,并且可以进一步扩展到患病器官。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2c6/10356782/8f38b77e20e8/42003_2023_4991_Fig1_HTML.jpg

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