Single-cell RNA sequencing in tuberculosis: Application and future perspectives.
10.1097/CM9.0000000000003095
- Author:
Yuejuan ZHAN
1
;
Qiran ZHANG
2
;
Wenyang WANG
3
;
Wenyi LIANG
2
;
Chengdi WANG
1
Author Information
1. 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.
2. West China School of Medicine, Sichuan University, Chengdu, Sichuan 610041, China.
3. Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
- Publication Type:Review
- Keywords:
Host-directed immunotherapy;
Immunoregulation;
Single-cell RNA sequencing;
Tuberculosis
- MeSH:
Humans;
Single-Cell Analysis/methods*;
Tuberculosis/genetics*;
Sequence Analysis, RNA/methods*;
Transcriptome/genetics*
- From:
Chinese Medical Journal
2025;138(14):1676-1686
- CountryChina
- Language:English
-
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.
