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结核病中的单细胞RNA测序:应用与未来展望。

Single-cell RNA sequencing in tuberculosis: Application and future perspectives.

作者信息

Zhan Yuejuan, Zhang Qiran, Wang Wenyang, Liang Wenyi, Wang Chengdi

机构信息

Department of Pulmonary and Critical Care Medicine, Targeted Tracer Research and Development Laboratory, State Key Laboratory of Respiratory Health and Multimorbidity, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.

West China School of Medicine, Sichuan University, Chengdu, Sichuan 610041, China.

出版信息

Chin Med J (Engl). 2024 Aug 6. doi: 10.1097/CM9.0000000000003095.

DOI:10.1097/CM9.0000000000003095
PMID:39111829
Abstract

Tuberculosis (TB) has one of the highest mortality rates among infectious diseases worldwide. The immune response in the host after infection is proposed to contribute significantly to the progression of TB, but the specific mechanisms involved remain to be elucidated. Single-cell RNA sequencing (scRNA-seq) provides unbiased transcriptome sequencing of large quantities of individual cells, thereby defining biological comprehension of cellular heterogeneity and dynamic transcriptome state of cell populations in the field of immunology and is therefore increasingly applied to lung disease research. Here, we first briefly introduce the concept of scRNA-seq, followed by a summarization on the application of scRNA-seq to TB. Furthermore, we underscore the potential of scRNA-seq for clinical biomarker exploration, host-directed therapy, and precision therapy research in TB and discuss the bottlenecks that need to be overcome for the broad application of scRNA-seq to TB-related research.

摘要

结核病(TB)在全球传染病中死亡率位居前列。宿主感染后的免疫反应被认为对结核病的进展有显著影响,但其具体机制仍有待阐明。单细胞RNA测序(scRNA-seq)能对大量单个细胞进行无偏转录组测序,从而在免疫学领域定义细胞异质性和细胞群体动态转录组状态的生物学理解,因此越来越多地应用于肺部疾病研究。在此,我们首先简要介绍scRNA-seq的概念,接着总结scRNA-seq在结核病中的应用。此外,我们强调scRNA-seq在结核病临床生物标志物探索、宿主导向治疗和精准治疗研究方面的潜力,并讨论scRNA-seq广泛应用于结核病相关研究需要克服的瓶颈。

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本文引用的文献

1
Application of artificial intelligence in diagnosis of pulmonary tuberculosis.人工智能在肺结核诊断中的应用。
Chin Med J (Engl). 2024 Mar 5;137(5):559-561. doi: 10.1097/CM9.0000000000003018. Epub 2024 Feb 19.
2
Exposure to Mycobacterium remodels alveolar macrophages and the early innate response to Mycobacterium tuberculosis infection.暴露于分枝杆菌会重塑肺泡巨噬细胞,并重塑对结核分枝杆菌感染的早期先天免疫反应。
PLoS Pathog. 2024 Jan 18;20(1):e1011871. doi: 10.1371/journal.ppat.1011871. eCollection 2024 Jan.
3
Single-Cell Sequencing Reveals Functional Alterations in Tuberculosis.
单细胞测序揭示结核病中的功能改变。
Adv Sci (Weinh). 2024 Mar;11(11):e2305592. doi: 10.1002/advs.202305592. Epub 2024 Jan 8.
4
Early cellular mechanisms of type I interferon-driven susceptibility to tuberculosis.I 型干扰素驱动的结核病易感性的早期细胞机制。
Cell. 2023 Dec 7;186(25):5536-5553.e22. doi: 10.1016/j.cell.2023.11.002. Epub 2023 Nov 28.
5
CD8+ lymphocytes are critical for early control of tuberculosis in macaques.CD8+ 淋巴细胞对于猕猴早期控制结核分枝杆菌感染至关重要。
J Exp Med. 2023 Dec 4;220(12). doi: 10.1084/jem.20230707. Epub 2023 Oct 16.
6
Single-cell RNA-sequencing reveals heterogeneity and intercellular crosstalk in human tuberculosis lung.单细胞RNA测序揭示了人类肺结核肺组织中的细胞异质性和细胞间串扰。
J Infect. 2023 Nov;87(5):373-384. doi: 10.1016/j.jinf.2023.09.004. Epub 2023 Sep 9.
7
The interaction of macrophages and CD8 T cells in bronchoalveolar lavage fluid is associated with latent tuberculosis infection.支气管肺泡灌洗液中巨噬细胞与 CD8+T 细胞的相互作用与潜伏性结核感染有关。
Emerg Microbes Infect. 2023 Dec;12(2):2239940. doi: 10.1080/22221751.2023.2239940.
8
Single-cell profiling reveals distinct immune response landscapes in tuberculous pleural effusion and non-TPE.单细胞分析揭示结核性胸腔积液和非结核性胸腔积液中不同的免疫反应图谱。
Front Immunol. 2023 Jun 26;14:1191357. doi: 10.3389/fimmu.2023.1191357. eCollection 2023.
9
Single-cell transcriptomic landscape identifies the expansion of peripheral blood monocytes as an indicator of HIV-1-TB co-infection.单细胞转录组图谱确定外周血单核细胞的扩增是HIV-1与结核杆菌合并感染的一个指标。
Cell Insight. 2022 Jan 21;1(1):100005. doi: 10.1016/j.cellin.2022.100005. eCollection 2022 Feb.
10
Systemic immune dysregulation in severe tuberculosis patients revealed by a single-cell transcriptome atlas.单细胞转录组图谱揭示重症结核病患者的全身免疫失调
J Infect. 2023 May;86(5):421-438. doi: 10.1016/j.jinf.2023.03.020. Epub 2023 Mar 30.