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The transcriptome of Mycobacterium tuberculosis in a lipid-rich dormancy model through RNAseq analysis

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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.
Keywords
GENE-EXPRESSION-DATA, CHOLESTEROL, METABOLISM, MACROPHAGES, PERSISTENCE, VIRULENCE, SURVIVAL, INSIGHTS, PACKAGE, FAT

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Chicago
Aguilar-Ayala, Diana, Laurentijn Tilleman, Filip Van Nieuwerburgh, Dieter Deforce, Juan Carlos Palomino, Peter Vandamme, Jorge A Gonzalez-Y-Merchand, and Anandi Martin. 2017. “The Transcriptome of Mycobacterium Tuberculosis in a Lipid-rich Dormancy Model Through RNAseq Analysis.” Scientific Reports 7.
APA
Aguilar-Ayala, D., Tilleman, L., Van Nieuwerburgh, F., Deforce, D., Palomino, J. C., Vandamme, P., Gonzalez-Y-Merchand, J. A., et al. (2017). The transcriptome of Mycobacterium tuberculosis in a lipid-rich dormancy model through RNAseq analysis. SCIENTIFIC REPORTS, 7.
Vancouver
1.
Aguilar-Ayala D, Tilleman L, Van Nieuwerburgh F, Deforce D, Palomino JC, Vandamme P, et al. The transcriptome of Mycobacterium tuberculosis in a lipid-rich dormancy model through RNAseq analysis. SCIENTIFIC REPORTS. 2017;7.
MLA
Aguilar-Ayala, Diana, Laurentijn Tilleman, Filip Van Nieuwerburgh, et al. “The Transcriptome of Mycobacterium Tuberculosis in a Lipid-rich Dormancy Model Through RNAseq Analysis.” SCIENTIFIC REPORTS 7 (2017): n. pag. Print.
@article{8542420,
  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.},
  articleno    = {17665},
  author       = {Aguilar-Ayala, Diana and Tilleman, Laurentijn and Van Nieuwerburgh, Filip and Deforce, Dieter and Palomino, Juan Carlos and Vandamme, Peter and Gonzalez-Y-Merchand, Jorge A and Martin, Anandi},
  issn         = {2045-2322},
  journal      = {SCIENTIFIC REPORTS},
  language     = {eng},
  pages        = {13},
  title        = {The transcriptome of Mycobacterium tuberculosis in a lipid-rich dormancy model through RNAseq analysis},
  url          = {http://dx.doi.org/10.1038/s41598-017-17751-x},
  volume       = {7},
  year         = {2017},
}

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