Ontology highlight
ABSTRACT:
PROVIDER: PRJNA512266 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The emergence of multidrug resistant (MDR) Mycobacterium tuberculosis (Mtb) strains, resistant to the frontline anti-tubercular drugs rifampicin and isoniazid, forces treatment with less effective and toxic second-line drugs and stands to derail TB control efforts. However, the immune response to MDR Mtb infection remains poorly understood. Here, we determined the RNA transcriptional profile of in vitro generated macrophages to infection with either drug susceptible Mtb HN878 or MDR Mtb W_7642 infection.
2018-12-26 | GSE115495 | GEO
Project description:Transcriptional profiling of Mycobacterium tuberculosis H37Rv after 4 hours of combination isoniazid and cysteine treatment relative to treatment with isoniazid alone.
2017-03-27 | GSE86184 | GEO
Project description:Tuberculosis (TB) is still a major life-threatening infectious disease, within which especially the rise of multidrug resistant TB (MDR-TB) is currently worrying. This study focuses on mechanisms of development of rifampicin resistance, since rifampicin seems to play an important role in the development of MDR-TB. To provide further insight in rifampicin resistance, we performed a genome-wide transcriptional profile analysis for Mycobacterium tuberculosis (M. tuberculosis) using microarray technology and qRT-PCR analysis. We exposed a rifampicin-susceptible H37Rv wild type (H37Rv-WT) and a rifampicin-resistant progeny H37Rv strain with a H526Y mutation in the rpoB gene (H37Rv-H526Y) to several concentrations of rifampicin, to define the effect of rifampicin on the transcription profile. Our study showed that there are resistance-dependant differences in response between both M. tuberculosis strains. Gene clusters associated with efflux, transport and virulence were altered in the rifampicin-resistant H37Rv mutant compared to the rifampicin-susceptible H37Rv-WT strain after exposure to rifampicin. We conclude that the small gene cluster Rv0559c-Rv0560c in the H37Rv-H526Y strain was remarkably up-regulated in the microarray analysis and qRT-PCR results and appeared to be dependent on rifampicin concentration and time of exposure. Therefore this study suggests that Rv0559c and Rv0560c play a pivotal role in rifampicin resistance of M. tuberculosis. Further investigation of Rv0559c and Rv0560c is needed to reveal function and mechanism of both genes that were triggered upon rifampicin exposure. [Data is also available from http://bugs.sgul.ac.uk/E-BUGS-139]
2013-04-21 | E-BUGS-139 | biostudies-arrayexpress
Project description:The experiment was designed to infer the fitness cost of rifampicin-resistance in Mycobacterium tuberculosis through expression analysis. The approach relied on: 1. Tracking the expression changes occurring as a result of the rifampicin-resistance conferring mutation Ser450Leu in RpoB and subsequent gain of compensatory mutation Leu516Pro in RpoC. The hypothesis was that any cost-incurring expressional changes would be reversed in the presence of compensatory mutations. The strains in this set were described before here: PMID 22179134. 2. Comparing the impact of the same rifampicin-resistance mutation (RpoB Ser450Leu) in five different genetic backgrounds. Here the comparison was solely between RpoB Ser450Leu and their cognate drug susceptible wild type ancestor. One of the strain pairs is the same as in point 1. above.
2018-11-18 | E-MTAB-7359 | biostudies-arrayexpress
Project description:Antimicrobial resistance (AMR) poses a threat to global health and the economy. Rifampicin resistant Mycobacterium tuberculosis accounts for a third of the global AMR burden. Gaining the upper hand on AMR requires a deeper understanding of the physiology of resistance. AMR often results in the erosion of normal cell function: a fitness cost. Identifying intervention points in the mechanisms underpinning the cost of resistance in M. tuberculosis could play a pivotal role in strengthening future treatment regimens. We used a collection of M. tuberculosis strains providing an evolutionary and phylogenetic snapshot of rifampicin resistance and subjected them to genome-wide transcriptomic and proteomic profiling to identify key perturbations of normal physiology. We found that a rifampicin resistance-conferring mutation in RpoB imparts considerable gene expression changes, many of which are mitigated by a compensatory mutation in RpoC. However, our data also provide evidence for pervasive epistasis: the same resistance mutation imposed a different fitness cost and functionally unrelated changes to gene expression in clinical strains from unrelated genetic backgrounds. Rather than functional changes in specific pathways, our data suggest that the fitness cost of rifampicin resistance stems from a misallocation of resources: the greater the departure from the wild type baseline proteome investment, the greater the fitness cost of rifampicin resistance in a given strain. We summarize these observations in the “Burden of Expression” hypothesis of fitness cost and provide evidence that it can be used for suppressing the emergence of rifampicin resistance.
2021-03-12 | PXD011568 | Pride
Project description:Transcriptional profiling of Mycobacterium tuberculosis mc2 7000 surviving 4 days of isoniazid treatment relative to untreated to investigate genes relevant to survival in genotypically isoniazid-sensitive cells
2016-09-23 | GSE86141 | GEO
Project description:Rifampicin plays an important role during tuberculosis treatment, which historically contributed for shortening therapy; however, rifampicin resistance has been the intersection for the definition of multi (MDR-TB) and extensively (XDR-TB) resistant outcomes. A key aspect which has contributed for investigations of drug action/resistance is the understanding of the dynamic genome expression, as that analyzed by Proteomics. Proteins from the reference strain, Mycobacterium tuberculosis H37Rv were extracted after 12, 24 and 48 hours over rifampicin challenge at the minimal inhibitory concentration (0.03 μg•mL-1) and identified by LC-MS.
2021-05-04 | PXD014177 | Pride
Project description:To explore the mechanism of drug resistance, most works focused on resistance associated genetic mutations, whereas concerns for resistance related gene expression are relatively low. Here a global expression analysis was performed between a reference strain H37Rv and two clinical extensively drug-resistant (XDR) strains with three anti-TB drug exposures {isoniazid (INH), capreomycin (CAP), rifampicin (RIF)}
2014-01-07 | GSE53843 | GEO
Project description:Bacteria commonly adapt to stresses by altering gene expression. To understand the response of M. tuberculosis (MTB) to various antibacterial agents, we performed transcriptomics on MTB bacilli exposed to several test compounds as well as known drugs (capreomycin, cycloserine, ethionamide, isoniazid, kanamycin, moxifloxacin, PA-824, rifampicin, streptomycin).
2015-11-11 | GSE71200 | GEO
Project description:Out of the 10 million of tuberculosis (TB) cases estimated in the world, around 14% are isoniazid (INH) resistant among new cases and 29% among previously treated cases in the last decade. INH is one of the oldest but also one of the more potent drugs to eliminate Mycobacterium tuberculosis (Mtb), the causing agent of TB. Because of the efficiency of isoniazid (INH) against Mycobacterium tuberculosis (Mtb), many studies are still focused in better understand its role in different bacterial metabolic pathways. We recently conducted a study that evaluated the changes in the protein abundance at different cellular fractions when clonal strains of Mtb developed INH resistance in the clinical and laboratory setting. Here, we want to establish which of the protein changes occurred or started because of the initial exposure to INH. Additionally, we wanted to evaluate if those changes happen differently in strains that are sensitive or resistant to INH, evaluating different cellular compartments from two different genetic lineages of Mtb. For this purpose, we analyzed the proteome of each cellular compartment (cytosol, cell wall, membrane and secreted proteins) through liquid chromatography (nano-HPLC) coupled to mass spectrometry using the Orbitrap Velos instrument and a t-test to perform the statistical analysis for each pair comparison.
2019-06-17 | PXD007588 | Pride