Transcriptional Responses of M. tuberculosis to inhibitors of metabolism
Ontology highlight
ABSTRACT:
ORGANISM(S): Mycobacterium tuberculosis Mycobacterium tuberculosis H37Rv
PROVIDER: GSE1642 | GEO | 2004/09/01
SECONDARY ACCESSION(S): PRJNA90691
REPOSITORIES: GEO
Similar Datasets
Project description:Transcriptional profiling of M.tuberculosis was performed using 430 whole-genome microarrays to measure the effects of 75 different drugs, drug combinations or different growth conditions at various times relative to a sample of logarithmically growing MTb. Analysis of this data set revealed 150 underlying clusters of coordinately regulated genes as described in Boshoff et al., 2004. Keywords = Gene clusters Keywords = Mechanism of action Keywords = tuberculosis Keywords = antimycobacterial drugs Keywords = natural product Keywords = respiration
2004-09-01 | E-GEOD-1642 | biostudies-arrayexpress
Project description: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 conditions (carbon source, drugs, stress), little is known about the transcriptome of Mtb in a lipid environment. Here we determine the transcriptome of Mtb H37Rv in a lipid-rich environment (mixture of cholesterol, palmitic, stearic and oleic acids), under aerobic and hypoxic conditions, using RNAseq technology. 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.
2018-01-12 | GSE100097 | GEO
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:Mass spectrometry is the current technique of choice in studying drug metabolism. High-resolution mass spectrometry (HR-MS) in combination with fragment analysis (MS/MS) has the potential to contribute to rapid advances in this field. However, the data emerging from such fragmentation spectra pose challenges to downstream analysis, given their complexity and size. Here we apply a molecular networking approach to seek drugs and their metabolites, in fragmentation spectra from urine derived from a cohort of 26 patients on antihypertensive therapy. In total, 165 separate drug metabolites were found and structurally annotated (17 by spectral matching and 122 by classification based on a clustered fragmentation pattern). The clusters could be traced to 13 drugs including the known antihypertensives verapamil, losartan and amlopidine. The molecular networking approach also generated networks of endogenous metabolites, including carnitine derivatives, and conjugates containing glutamine, glutamate and trigonelline. The approach offers unprecedented capability in the untargeted identification of drugs and their metabolites at the population level and has great potential to contribute to understanding stratified responses to drugs where differences in drug metabolism may determine treatment outcome. Keywords: Antihypertensive drugs, Drug metabolism, Fragmentation, High-resolution mass spectrometry, Metabolomics, Urine.
2016-05-23 | MTBLS307 | MetaboLights
Project description:The gene expression profiles of Mtb after treatment at the minimal inhibitory concentration (MIC) or 4 X MIC at an early stage (up to 6 hours) was compared to untreated Mtb. Our experiment is designed to in order to ensure that the primary effects (0-6h) of the drugs and any dose (1X MIC and 4X MIC) responses would be captured.
2010-05-16 | E-GEOD-16626 | biostudies-arrayexpress
Project description:Introduction: Tuberculosis (TB) is a serious human disease caused by the bacterium Mycobacterium tuberculosis (Mtb). One third of the worldâs population is estimated to be latently infected with Mtb. Exact mechanisms and properties of latent TB infection (LTBI) are not fully elucidated. In essence, the pathogen can enter a dormant or latent state characterized by limited growth and metabolism, resulting in absence of clinical symptoms in the host, and most importantly by increased phenotypic tolerance to the commonly used medications, thereby allowing indefinite persistence in the human body. This persistence is the main reason why the current treatment of new-onset pulmonary TB is very long, consisting of a six months therapy of four antibiotics (rifampicin, isoniazid, pyrazinamide, and ethambutol for the first two months, and only rifampicin and isoniazid for the last four months). Current state of the art: To fight TB globally and more efficiently, it is essential to shorten the treatment for TB with new drugs that are efficient also against LTBI. To facilitate discovery of such drugs, in vitro models for LTBI can be used for high throughput screening of chemical libraries. Current in vitro models such as nutrient starvation (Betts et al. 2002), nutrient depletion (Hampshire et al. 2004; Rifat, Bishai, and Karakousis 2009), progressive hypoxia (Wayne and Hayes 1996), nitric oxide treatment (Martin I. Voskuil et al. 2003) and multiple stress (Deb et al. 2009) mimic the dormant state of Mtb, but the technical settings and equipment required for these models obstruct high throughput applications. Proposed model: The streptomycin (STR)-starved 18b model (SS18b) is a simple and drug discovery efficient Mtb latency model successfully applicable to both in vitro and in vivo settings (Zhang et al. 2012). It is based on the Mtb strain 18b, which is a STR-dependent mutant that enters a viable but nonreplicating state in the absence of STR (Hashimoto 1955). Despite the successful model, we know very little about 18b. How well does SS18b mimic the bacterial response to the complex host-pathogen interactions underlying LTBI, and how does the SS18b response compare to that of other dormancy models are still open questions. In this work we analyse the complete genome of 18b and describe the transcriptomic response of 18b to STR depletion. 12 samples were analyzed. Four biological replicates were sampled during the exponential growth phase, in presence of streptomycin. Four biological replicates derived after 2 weeks of streptomycin depletion, and two biological replicates derive after 4 weeks of streptomycin depletion. Two replicates derive from the resubmission of streptomycin after four weeks of depletion.
2016-02-17 | E-GEOD-71066 | biostudies-arrayexpress
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:An accessible, simple, reliable, next-gen in-vitro platform to further the screening for Mtb drugs and understand TB host-pathogen interaction.
2023-01-30 | GSE216503 | GEO
Project description:A cell-based phenotypic screen for inhibitors of biofilm formation in Mycobacterium tuberculosis (Mtb) identified the small molecule TCA1, which has bactericidal activity against both drug susceptible and drug resistant Mtb, and synergizes with rifampicin (RIF) or isoniazid (INH) in sterilization of Mtb in vitro. In addition, TCA1 has bactericidal activity against non-replicating Mtb in vitro and is efficacious in acute and chronic Mtb infection mouse models, both alone and in combination with INH or RIF. Transcriptional analysis revealed that TCA1 down-regulates genes known to be involved in Mtb dormancy and drug tolerance. Mutagenesis and affinity-based methods identified DprE1 and MoeW, enzymes involved in cell wall and molybdenum cofactor biosynthesis, respectively, as the targets responsible for TCA1M-bM-^@M-^Ys activity. These in vitro and in vivo results indicate that TCA1functions by a novel mechanism and suggest that it may be the first product of a promising new approach for the development of anti-tuberculosis drugs. Transcriptional profile of TCA1-treated cells relative to DMSO-treated control. Three biological replicates, third is a dye flip.
2013-05-24 | E-GEOD-42151 | biostudies-arrayexpress
Project description:Introduction: Tuberculosis (TB) is a serious human disease caused by the bacterium Mycobacterium tuberculosis (Mtb). One third of the world’s population is estimated to be latently infected with Mtb. Exact mechanisms and properties of latent TB infection (LTBI) are not fully elucidated. In essence, the pathogen can enter a dormant or latent state characterized by limited growth and metabolism, resulting in absence of clinical symptoms in the host, and most importantly by increased phenotypic tolerance to the commonly used medications, thereby allowing indefinite persistence in the human body. This persistence is the main reason why the current treatment of new-onset pulmonary TB is very long, consisting of a six months therapy of four antibiotics (rifampicin, isoniazid, pyrazinamide, and ethambutol for the first two months, and only rifampicin and isoniazid for the last four months). Current state of the art: To fight TB globally and more efficiently, it is essential to shorten the treatment for TB with new drugs that are efficient also against LTBI. To facilitate discovery of such drugs, in vitro models for LTBI can be used for high throughput screening of chemical libraries. Current in vitro models such as nutrient starvation (Betts et al. 2002), nutrient depletion (Hampshire et al. 2004; Rifat, Bishai, and Karakousis 2009), progressive hypoxia (Wayne and Hayes 1996), nitric oxide treatment (Martin I. Voskuil et al. 2003) and multiple stress (Deb et al. 2009) mimic the dormant state of Mtb, but the technical settings and equipment required for these models obstruct high throughput applications. Proposed model: The streptomycin (STR)-starved 18b model (SS18b) is a simple and drug discovery efficient Mtb latency model successfully applicable to both in vitro and in vivo settings (Zhang et al. 2012). It is based on the Mtb strain 18b, which is a STR-dependent mutant that enters a viable but nonreplicating state in the absence of STR (Hashimoto 1955). Despite the successful model, we know very little about 18b. How well does SS18b mimic the bacterial response to the complex host-pathogen interactions underlying LTBI, and how does the SS18b response compare to that of other dormancy models are still open questions. In this work we analyse the complete genome of 18b and describe the transcriptomic response of 18b to STR depletion.
2016-02-17 | GSE71066 | GEO