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  2. Dual transcriptomic analysis unraveling the immune landscape and host-pathogen interactions during Mycobacterium tuberculosis infection

Dual transcriptomic analysis unraveling the immune landscape and host-pathogen interactions during Mycobacterium tuberculosis infection

  • iScience. 2025 Nov 17;28(12):114102. doi: 10.1016/j.isci.2025.114102.
Chenyan Shi 1 2 Xiaoqian Liu 3 Dan Chen 2 Tong Wang 1 Yu Wang 2 Ningjian Cai 2 Zhaodong Li 4 Yunlong Hu 2 Yi Cai 2 Xinchun Chen 2
Affiliations

Affiliations

  • 1 School of Public Health, Shenzhen University Medical School, Shenzhen, China.
  • 2 Guangdong Provincial Key Laboratory of Infection Immunity and Inflammation, Department of Pathogen Biology, Shenzhen University Medical School, Shenzhen, China.
  • 3 College of Life Science and Technology, Wuhan Polytechnic University, Wuhan, Hubei, China.
  • 4 Institute of Clinical Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Abstract

Elucidating the host-pathogen interactions is critical for uncovering the mechanisms controlling Mycobacterium tuberculosis (Mtb) Infection. Using dual RNA-seq with fluorescent Mtb, we simultaneously profiled macrophage and Bacterial transcriptomes to resolve dynamic intracellular responses. Macrophages containing dead Mtb exhibited strong immune activation, including enhanced antigen presentation and lysosomal function, whereas macrophages harboring live Mtb showed persistent NF-κB signaling and metabolic reprogramming. Mtb counteracted host defenses through upregulation of DNA repair genes and manipulation of extracellular matrix signaling via SPP1 and integrins, alongside tryptophan catabolism and lipid binding pathways supporting adaptation. Cross-species correlation analysis revealed coordinated transcriptional programs, notably a strong inverse association between Mtb aromatic compound catabolism and host receptor tyrosine kinase signaling. Additional correlations linked Bacterial metabolism with host lipid transport and steroid biosynthesis. Together, these results provide a high resolution view of macrophage and Mtb transcriptional interplay defining Bacterial persistence versus immune clearance.

Keywords

Immunology; Microbiology; Transcriptomics.

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