在单细胞分辨率下对细胞因子的免疫反应的词典
Ang Cui1,2,3, Teddy Huang4, Shuqiang Li5,4
1Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA. ang_cui@g.harvard.edu.
Nature
|December 6, 2023
概括
我们创建了"免疫字典", 绘制了1400多种细胞类型的相互作用, 这一资源有助于了解免疫和疾病中的细胞因子网络.
科学领域:
- 免疫学
- 系统生物学
- 计算生物学
背景情况:
- 细胞因子是免疫细胞通信的关键媒介和治疗点.
- 对细胞因子诱导的细胞反应缺乏全面的理解.
- 现有的知识缺乏关于多样化的免疫细胞如何对特定细胞因子作出反应的整体观点.
研究的目的:
- 创建一个全面的资源,详细说明多种免疫细胞类型对多种细胞因子的单细胞转录性反应.
- 识别细胞类型特异性细胞因子反应和新型免疫细胞两极化状态.
- 从基因表达数据开发分析细胞因子活性和免疫细胞两极分化的工具.
主要方法:
- 在体内暴露于86种细胞因子的17种小鼠免疫细胞的单细胞转录特征.
- 将数据编制为免疫词典,包括超过1400种细胞因子组合.
- 开发了用于数据解释的免疫反应丰富分析软件.
主要成果:
- 对大多数细胞因子的高度细胞类型特异性反应,例如互白素-1β.
- 发现了超过66种细胞因子驱动的细胞极化状态,包括自然杀手细胞中的新状态.
- 在免疫检查点封锁后应用分析工具来揭示瘤微环境中的细胞因子网络.
结论:
- 免疫字典提供了细胞因子与免疫细胞相互作用的全球视图,揭示了细胞特异性反应和新型激活状态.
- 开发的软件有助于分析细胞因子活动和免疫细胞两极分化,有助于免疫学和疾病研究.
- 这项工作提供了一个研究细胞因子功能,变性和细胞间通信网络的框架.
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