ArticleFrontiers in microbiology2010
Transcriptional profiling of mycobacterium tuberculosis during infection: lessons learned.
Article in Frontiers in microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Comparative transcriptomic signatures of virulent and attenuatedFrontiers in cellular and infection microbiology · 2025Article
- Model systems to studyFrontiers in cellular and infection microbiology · 2025Review
- The Immunogenicity and Safety ofMicroorganisms · 2023Article
- TheFrontiers in immunology · 2021Article
- Transcriptional signatures of Mycobacterium tuberculosis in mouse model of intraocular tuberculosis.Pathogens and disease · 2019Article
- Transcriptional Profile ofFrontiers in cellular and infection microbiology · 2018Article
- Metabolic Perspectives on Persistence.Microbiology spectrum · 2017Review
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- Article
- Mycobacterium tuberculosis Transcriptome Profiling in Mice with Genetically Different Susceptibility to Tuberculosis.Acta naturae · 2013Article
- Different transcriptional profiles of RAW264.7 infected with Mycobacterium tuberculosis H37Rv and BCG identified via deep sequencing.PloS one · 2012Article
- Characterization of a novel heat shock protein (Hsp22.5) involved in the pathogenesis of Mycobacterium tuberculosis.Journal of bacteriology · 2011Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infection with Mycobacterium tuberculosis, the causative agent of tuberculosis, is considered one of the biggest infectious disease killers worldwide. A significant amount of attention has been directed toward revealing genes involved in the virulence and pathogenesis of this air-born pathogen. With the advances in technologies for transcriptional profiling, several groups, including ours, took advantage of DNA microarrays to identify transcriptional units differentially regulated by M. tuberculosis within a host. The main idea behind this approach is that pathogens tend to regulate their gene expression levels depending on the host microenvironment, and preferentially express those needed for survival. Identifying this class of genes will improve our understanding of pathogenesis. In our case, we identified an in vivo expressed genomic island that was preferentially active in murine lungs during early infection, as well as groups of genes active during chronic tuberculosis. Other studies have identified additional gene groups that are active during macrophage infection and even in human lungs. Despite all of these findings, one of the lingering questions remaining was whether in vivo expressed transcripts are relevant to the virulence, pathogenesis, and persistence of the organism. The work of our group and others addressed this question by examining the contribution of in vivo expressed genes using a strategy based on gene deletions followed by animal infections. Overall, the analysis of most of the in vivo expressed genes supported a role of these genes in M. tuberculosis pathogenesis. Further, these data suggest that in vivo transcriptional profiling is a valid approach to identify genes required for bacterial pathogenesis.
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