小鼠动脉粥样硬化斑块中细胞的分子和时空特征

Pengbo Hou, Zhanhong Liu, Jiankai Fang, Ziyi Wang, Shisong Liu, Shiqing Wang, Peishan Li, Gerry Melino, Yufang Shi, Changshun Shao
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引用次数: 0

摘要

目的:单细胞技术彻底改变了我们对人类和小鼠动脉粥样硬化主动脉白细胞表型和转录多样性的认识。然而,酶解组织失去了斑块细胞在原位的空间背景。在这里,我们利用成像质控细胞仪(IMC)结合单细胞 RNA 测序(scRNA-seq)来描述动脉粥样硬化进展过程中斑块细胞的空间分布动态、表型转换、代谢和功能表型以及细胞间相互作用网络。此外,还利用飞行时间细胞计数法(CyTOF)描述了与动脉粥样硬化相关的循环白细胞的动态免疫图谱:我们设计了一个包含 33 种金属共轭抗体的高复用 IMC 面板,以生成 11 张不同动脉粥样硬化阶段的高脂饮食载脂蛋白 E-/- 小鼠主动脉根部组织的高复用组织学图像。利用 histoCAT,我们确定了具有不同表型和地理动态的 8 种主要细胞亚型。此外,IMC定义的细胞亚型与scRNA-seq标注的主动脉细胞亚型部分对应,包括4个巨噬细胞亚型、中性粒细胞、平滑肌细胞(SMC)和SMC衍生的SEM(干细胞、内皮细胞和巨噬细胞样细胞)。从动脉粥样硬化的早期阶段到晚期阶段,在巨噬细胞群、SMC 和 SEMs 中都观察到了炎症通路的激活、氧化磷酸化的增加和破骨细胞分化的增强。值得注意的是,通过 IMC 进行的细胞邻域分析发现了斑块内多方面的细胞-细胞相互作用,特别是中性粒细胞介导的与平滑肌细胞和巨噬细胞的相互作用,这些相互作用通过基于 scRNA-seq 数据的配体-受体相互作用得到了证实。此外,通过 CyTOF 对外周免疫细胞进行特征描述发现,髓系细胞与淋巴细胞的比例增加,某些中性粒细胞和单核细胞亚群还表现出脂质代谢和糖酵解增强以及炎症信号激活:本研究提供了动脉粥样硬化病变和外周白细胞的动态时空分布图。结论:这项研究提供了动脉粥样硬化病变和外周白细胞的动态时空分布图,基于 IMC 的新信息可能有助于理解动脉粥样硬化病理和开发新的治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular and spatiotemporal characterization of cells in murine atherosclerotic plaques
Objective: Single-cell technologies have revolutionized our understanding of the phenotypic and transcriptional diversity of aortic leukocytes in atherosclerotic humans and mice. However, enzymatically dissociated tissues lose the spatial context of plaque cells in situ. Here we utilized imaging mass cytometry (IMC) combining with single-cell RNA sequencing (scRNA-seq) to characterize the spatial distribution dynamics, phenotypic transitions, metabolic and functional phenotypes, and the intercellular interaction networks of plaque cells during atherosclerotic progression. Additionally, the dynamic immune landscape of circulating leukocytes associated with atherosclerosis was characterized using cytometry of time of flight (CyTOF). Approach and Results: A highly multiplexed IMC panel with 33 metal-conjugated antibodies was designed to generate 11 highly multiplexed histology images of aortic root tissues from ApoE-/- mice on high-fat diet at different stage of atherosclerosis. Using histoCAT, we identified 8 principal cell subtypes with distinct phenotypic and geographic dynamics. Furthermore, IMC-defined cell subsets partially corresponded to scRNA-seq-annotated aortic cell subtypes, including 4 macrophage subsets, neutrophils, smooth muscle cells (SMCs) and SMC-derived SEMs (Stem cell, endothelial cell and macrophage-like cell). Activation of inflammatory pathways, increased oxidative phosphorylation and augmented osteoclast differentiation were observed in macrophage populations, SMCs and SEMs from an early stage to advanced stage of atherosclerosis. Notably, cell neighborhood analysis by IMC uncovered multifaceted cell-cell interactions within the plaque, in particular in neutrophil-mediated interactions with smooth muscle cells and macrophages, which were confirmed by ligand-receptor interactions based on scRNA-seq data. Additionally, characterization of the peripheral immune cells by CyTOF revealed an increased ratio of myeloid cells to lymphocytes, and certain neutrophil and monocyte subpopulations also exhibited enhanced lipid metabolism and glycolysis as well as activated inflammatory signaling. Conclusion: This study provides a dynamic spatiotemporal landscape of atherosclerotic lesions and peripheral leukocytes. The new information based on IMC may help understand atherosclerotic pathology and develop novel therapeutic strategies.
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