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中国防痨杂志 ›› 2025, Vol. 47 ›› Issue (3): 362-368.doi: 10.19982/j.issn.1000-6621.20240512

• 综述 • 上一篇    下一篇

单细胞转录组测序技术在结核病研究中的应用

石红雨1,2, 张国良1,2(), 肖国辉2   

  1. 1西南医科大学附属医院感染性疾病科,泸州 646000
    2深圳市第三人民医院/国家感染病临床医学研究中心,深圳 518112
  • 收稿日期:2024-11-19 出版日期:2025-03-10 发布日期:2025-02-27
  • 通信作者: 张国良,Email:szdsyy@aliyun.com
  • 基金资助:
    深圳市科技计划项目(RCJC20221008092726022);深圳市“医疗卫生三名工程”项目(SZZYSM202311009);深圳市高水平医院建设专项经费

Application of single-cell transcriptome sequencing technology in tuberculosis research

Shi Hongyu1,2, Zhang Guoliang1,2(), Xiao Guohui2   

  1. 1Department of Infectious Diseases, Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
    2Shenzhen Third People’s Hospital/National Clinical Research Center for Infectious Diseases, Shenzhen 518112, China
  • Received:2024-11-19 Online:2025-03-10 Published:2025-02-27
  • Contact: Zhang Guoliang, Email: szdsyy@aliyun.com
  • Supported by:
    Shenzhen Science and Technology Program Project(RCJC20221008092726022);Sanming Project of Medicine in Shenzhen(SZZYSM202311009);Shenzhen High-level Hospital Construction Fund

摘要:

结核病是结核分枝杆菌感染引起的全球死亡率最高的传染病之一,严重威胁公共卫生。目前,对于结核分枝杆菌感染宿主后引起的细胞免疫应答机制还不是很清晰。单细胞转录组测序技术能在单个细胞的分辨率上揭示病理过程中的细胞异质性,可以帮助研究人员更好地理解结核病的发病机制,并为靶向药物研发、新型诊断标志物及疫苗研发提供有力支持。本文综述了该技术在结核病致病机制的探究、在不同临床样本中细胞亚群异质性的分析,以及免疫微环境揭示等方面的应用,并探讨该技术的局限性、未来的挑战,展望了其在结核病研究中潜在的应用方向。

关键词: 结核, RNA, 免疫,细胞, 单细胞转录组测序

Abstract:

Tuberculosis, caused by Mycobacterium tuberculosis (MTB) infection, is one of the infectious diseases with the highest mortality rates globally, posing a severe threat to public health. The cellular immune response mechanisms triggered by MTB infection in the host are not yet fully understood. Single-cell transcriptome sequencing technology can reveal cellular heterogeneity at the resolution of individual cells, which can help researchers better understand the pathogenesis of tuberculosis and provide strong support for the development of targeted drugs, new diagnostic markers, and vaccines. This article reviewed the application of this technology in the exploration of tuberculosis pathogenesis, the analysis of cell subgroup heterogeneity in different clinical samples, and the disclosure of immune microenvironment, and discussed the limitations and future challenges of this technology, and looked forward to its potential application in tuberculosis research.

Key words: Tuberculosis, RNA, Immunity, cellular, Single cell RNA sequencing

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