ArticleMethods in molecular biology (Clifton, N.J.)2023
A Murine Mycobacterium marinum Infection Model for Longitudinal Analyses of Disease Development and the Inflammatory Response.
Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- In vivo regulation of the monocyte phenotype by Mycobacterium marinum and the ESX-1 type VII secretion system.Scientific reports · 2025Article
- Cytosolic serpins act in a cytoprotective feedback loop that limits ESX-1-dependent death ofmBio · 2024Article
- Enhance the Antimycobacterial Activity of Streptomycin with Ebselen as an Antibiotic Adjuvant Through Disrupting Redox Homeostasis.Drug design, development and therapy · 2024Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mycobacterial infections, including tuberculosis, are a major health problem globally. Prevention and treatments of tuberculosis are challenging due to the poor efficacy of the current vaccine and the emergence of drug-resistant strains. Therefore, it is critical to increase our basic understanding of mycobacterial virulence strategies as well as the host immune response during infection in the complex in vivo setting. While existing infection models provide valuable tools for investigating mycobacterial pathogenesis, they also exhibit limitations that can be addressed by the development of complementary models. Here we describe recent advances to the murine Mycobacterium marinum infection model, in which the bacteria produce a local infection restricted to the tail tissue. The M. marinum model has the advantage of mimicking some of the key hallmarks of human tuberculosis not replicated in the conventional murine Mycobacterium tuberculosis model, such as the formation of granulomas with central caseating necrosis and the spontaneous development of a latency-like stage. Moreover, the model is non-lethal and enables longitudinal analysis of disease development in live animals. In this chapter, we report protocols to prepare infected tissue samples for detailed and quantitative analysis of the immune response by flow cytometry, immunofluorescence microscopy, RT-qPCR, ELISA, and Western blot, as well as for the analysis of bacterial load and localization.
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