ArticleScientific reports2017
The transcriptome of Mycobacterium tuberculosis in a lipid-rich dormancy model through RNAseq analysis.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 59 citations in OpenAlex.
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- Exploring the Protein Landscape of Dormant Mycobacterium tuberculosis Through In Vitro Functional Studies.Advances in experimental medicine and biology · 2026Review
- Lipid metabolism in the resuscitation of dormant mycobacterium tuberculosis: molecular resilience, host hijacking, and clinical opportunities.Frontiers in cellular and infection microbiology · 2026Review
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- The identification Mycobacterium tuberculosis genes that modulate long term survival in the presence of rifampicin and streptomycin.Scientific reports · 2025Article
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- Can lipid body-positive rates ofFrontiers in immunology · 2025Article
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- Cryo-EM structures of a mycobacterial ABC transporter that mediates rifampicin resistance.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Mycobacteria that cause tuberculosis have retained ancestrally acquired genes for the biosynthesis of chemically diverse terpene nucleosides.PLoS biology · 2024Article
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Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) is currently the number one killer among infectious diseases worldwide. Lipids are abundant molecules during the infectious cycle of Mycobacterium tuberculosis (Mtb) and studies better mimicking its actual metabolic state during pathogenesis are needed. Though most studies have focused on the mycobacterial lipid metabolism under standard culture conditions, little is known about the transcriptome of Mtb in a lipid environment. Here we determined the transcriptome of Mtb H37Rv in a lipid-rich environment (cholesterol and fatty acid) under aerobic and hypoxic conditions, using RNAseq. Lipids significantly induced the expression of 368 genes. A main core lipid response was observed involving efflux systems, iron caption and sulfur reduction. In co-expression with ncRNAs and other genes discussed below, may act coordinately to prepare the machinery conferring drug tolerance and increasing a persistent population. Our findings could be useful to tag relevant pathways for the development of new drugs, vaccines and new strategies to control TB.
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