Mycobacterium tuberculosis (Mtb) remains a global human health threat. However, understanding effects of the microbe on cellular interactions in infected tissue has been hindered by inability to discriminate between infected versus un-infected cells. We included the H37Rv Mtb reference genome when assembling scRNA seq libraries from fine needle aspirate samples of peripheral nodal TB patients. Using the 10X Genomics Cell Ranger tool to align sequencing reads, we consistently detected bacterial small and large ribosomal subunit RNA sequences. We interpret Mtb reads associated with a cell's UMI and transcriptome to indicate infection of that individual host cell. This provides a new window into the status of infected cells in the context of the bystander cells in the infected tissue. We investigated these Mtb transcripts to explore their clinical utility. The Mtb transcripts showed frequent sequence variation from the reference genome, with greater than 90 percent of the rrs or rrl reads from many clinical samples having at least one sequence difference. The highly conserved nature of the rrs and rrl gene sequences limited the ability to assign bacterial lineage based solely transcriptome analysis. However, rapid improvements in sequencing depth may soon allow transcriptome analysis of infecting microbes and improved certainty regarding their lineage, drug resistance and virulence factors.
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Philip J. Moos
University of Utah
Allison F. Carey
West Virginia University
Jacklyn Joseph
Port Moresby General Hospital
Virulence
University of Utah
University of Papua New Guinea
National Department of Health
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Moos et al. (Sat,) studied this question.
synapsesocial.com/papers/68c1c64554b1d3bfb60f27db — DOI: https://doi.org/10.1080/21505594.2025.2547326
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