在心血管疾病风险状态中的单细胞单细胞多模式分析
Alexander C Bashore1,2, Chenyi Xue1,2, Eunyoung Kim1,2
1Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York (A.C.B., C.X., E.K., L.Y.Z., L.S.R., H.Z., M.P.R.).
单细胞表现出比以前所知的更大的多样性,通过先进的单细胞分析确定了不同的子集. 这项研究揭示了它们在健康和疾病,特别是心血管疾病中的不同作用.
科学领域:
- 免疫学 免疫学 免疫学
- 细胞生物学 细胞生物学
- 基因组学就是基因组学.
背景情况:
- 单细胞是具有恒常性和免疫调节作用的关键先天性免疫细胞.
- 历史上由CD14和CD16标记物识别,单细胞现在被认为是高度异质的.
- 最近的单细胞研究挑战了传统的分类,揭示了更复杂的细胞格局.
研究的目的:
- 为了全面地绘制单细胞的转录和表型多样性.
- 识别不同的单细胞亚群及其特征.
- 研究心血管疾病风险因素中的单细胞变化.
主要方法:
- 通过测序 (CITE-seq) 和单细胞RNA测序利用了转录组和表观体的细胞索引.
- 分析了437,126个单细胞的大量数据集.
- 使用流细胞计验证的发现.
主要成果:
- 识别了多样化的单细胞子集,包括IFN响应,MHCIIhi,单细胞-血小板聚合物,非经典和经典的子群.
- 每个亚种群都表现出独特的转录调节,发育轨迹和组织分布.
- 观察到单细胞的变化与诸如种族,吸烟和超脂血症等心血管疾病风险因素相关,在小鼠模型中证实了超脂血症的影响.
结论:
- 这种综合性分析为单细胞异质性及其在病理条件中的作用提供了新的视角.
- 提供了对单细胞驱动的心血管疾病机制的见解.
- 表明基于单细胞亚群的向疗法的潜力.
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