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A multi-omics investigation into the mechanisms of hyper-virulence in Mycobacterium tuberculosis

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NIAID Data Ecosystem2026-03-13 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE203662
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The result validated the connections between mutations, gene expression and mycobacterial pathogenicity, and identified new possible virulence-associated pathways in M. tuberculosis. We profiled the genome-wide expression pattern for hyper-virulent (H112) and low-virulent strains (H54) during exponential growth in a nutrient-rich condition (7H9 medium) and a physiologically relevant multi-stress condition (NR medium) using RNA-sequencing and label-free quantitative proteomics.
创建时间:
2022-07-13
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