Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1215569 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR32120702_1.fastq.gz | Fastqsanger.gz | |||
| SRR32120702_2.fastq.gz | Fastqsanger.gz | |||
| SRR32120703_1.fastq.gz | Fastqsanger.gz | |||
| SRR32120703_2.fastq.gz | Fastqsanger.gz |
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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: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 TCA1’s 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.
2013-05-24 | GSE42151 | GEO
Project description:We profiled the transcriptional response of different, phylogenetically distinct Mycobacterium tuberculosis (Mtb) strains to isoniazid (INH) and rifampicin (RIF) using RNA-seq. We also hypothesized that an improved Mtb TRN could be inferred using a large, diverse compendium of RNA-seq data and therefore sought to supplement the existing repository of Mtb expression data available on SRA with additional conditions that could inform on Mtb's underlying regulatory programs. We went on to infer Mtb's TRN using a collection of inference methods in combination with this compendium, and employed it to build an interpretable machine learning model of Mtb fitness under stress.
2025-03-19 | GSE292409 | GEO
Project description:Background: Tuberculosis (TB) remains a major public health problem, especially in developing countries, with 1.5 million deaths annually worldwide. Antibiotics are commonly used in the treatment of bacterial infections. As with most drugs, antibiotic treatment can also alter host metabolism, leading to adverse side-effects. Antibiotics can also interfere with the immune system, indirectly through the disturbance of the body’s microbiota or directly by modulating the functions of immune cells. It is therefore important to understand how antibiotic treatment modulates immune cell functions. Here we aim to evaluate the impact of first-line anti-TB drugs on the response of human macrophages infected with Mycobacterium tuberculosis (MTB). Results: Human macrophages were stimulated with heat-killed Mycobacterium tuberculosis (hk-MTB) and treated with isoniazid (INH), rifampicin (RIF), ethambutol, pyrazinamide (PZA) or amikacin (AMK). After 24h of treatment, RNA was collected and we characterized the genome-wide gene expression profiles of drug-treated cells by RNAseq. 556, 752 and 7 genes were differentially expressed in hk-MTB-stimulated macrophages upon RIF, PZA and EMB treatment respectively, whereas in uninfected macrophages, 448 and 11 genes were differentially expressed upon RIF and PZA treatment respectively. No genes were differentially expressed upon INH and AMK treatment. We classified all modulated genes by performing gene-set enrichment analysis. The gene set regulated by PZA in infected macrophages was significantly enriched for genes involved in Integral to lumenal side of endoplasmic reticulum membrane, Cytokine-mediated signaling pathway or Interferon-gamma-mediated signaling pathway. In hk-MTB-stimulated macrophages treated by RIF, we found an enrichment in Endoplasmic reticulum unfolded protein response, NADP binding or Lipid metabolic process. Conclusions: Our results highlight the importance to understand how antibiotic treatment modulates macrophage (Mφ) functions, and more generally, how it impacts the host immune response.
2020-04-29 | GSE143731 | GEO
Project description:Iron is critical for the survival of both the host and pathogens. Dysregulated iron metabolism is reported in tuberculosis patients, and therefore represents an opportunity for developing host-directed therapeutics. In this study, antimycobacterial properties of an iron chelator, i.e. Deferoxamine (DFO) and its impact on the transcriptomic changes in Mycobacterium tuberculosis (Mtb) and its impact on limiting host iron in C57BL/6 mice were explored. A group of mice received ferric carboxymaltose to create an iron overload condition and were aerosol infected with H37Rv Mtb. Mtb-infected mice received isoniazid (INH) and rifampicin (RIF) with or without DFO for tissue CFU assay, liver metabolite, iron quantification using GC-MS and ICP-MS, respectively. DFO showed comparable antimycobacterial properties like INH in in-vitro conditions. DFO-treatment deregulated 137 transcript levels in Mtb and majority were involved in stress response, encoding iron-containing proteins and downregulation of genes involved in essential vitamins and amino acid metabolism. Iron-overloaded mice exhibited significantly higher tissue mycobacterial burden at two weeks post-infection and the efficacy of INH and RIF were compromised. Iron chelation by DFO significantly reduced the tissue mycobacterial burden at 4 weeks post-treatment and, as an adjunct to INH and RIF, significantly lowered lung mycobacterial load within the first and second weeks of treatment compared to the group that received only INH and RIF. The intracellular pro-inflammatory cytokine levels in the lung CD4+ T-cells of INH and RIF-treated groups with or without DFO were found to be similar. DFO with RIF and INH treatment significantly altered liver arginine biosynthesis, which has a direct role in neutralizing ammonia and has an immune-supportive role. Currently, DFO is used for treating acute iron toxicity and in iron-overloaded thalassemic patients and holds promise as adjunct therapeutics for tuberculosis.
2025-02-28 | GSE264613 | GEO
Project description:EXIT-RIF: Evaluating the Xpert Impact on Tuberculosis – RIFampicin Resistance
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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:The innate immune system provides the first response to pathogen infection and orchestrates the activation of the adaptive immune system. Though a large component of the innate immune response is common to all infections, pathogen-specific innate immune responses have been documented as well. The innate immune response is thought to be especially critical for fighting infection with Mycobacterium tuberculosis (MTB), the causative agent of tuberculosis (TB). While TB can be a deadly disease, only 5-10% of individuals infected with MTB develop active disease, and this inter-individual variation is, at least partly, heritable. Studies of inter-individual variation in the innate immune response to MTB infection may therefore shed light on the genetic basis for variation in susceptibility to TB. Yet, to date, we still do not know which properties of the innate immune response are specific to MTB infection and which represent a general response to pathogen infection. To begin addressing this gap, we infected macrophages with eight different bacterial pathogens, including different MTB strains and related mycobacteria, and studied the transcriptional response to infection. We found that although the gene expression changes were largely consistent across the bacterial infection treatments, we were able to identify a novel subset of genes whose regulation was affected specifically by infection with mycobacteria. Genetic variants that are associated with regulatory differences in these genes should be considered candidate loci for explaining inter-individual susceptibility TB. RNA-seq of monocyte-derived macrophages isolated from 6 healthy European males at 4, 18, and 48 hours post-infection with the following 8 bacteria: Mycobacterium tuberculosis (MTB) H37Rv, Mycobacterium tuberculosis GC1237, MTB GC1237, bacillus Calmette-Guérin (BCG), Mycobacterium smegmatis, Yersinia pseudotuberculosis, Salmonella typhimurium, and Staphylococcus epidermidis. table-s1.txt is a tab-delimited text file that contains the batch-corrected log2 counts per million for each of the 156 samples, as well as the Ensembl gene ID and gene name. BCG = bacillus Calmette-Guérin GC = Mycobacterium tuberculosis GC1237 Rv = Mycobacterium tuberculosis (MTB) H37Rv Rv+ = heat-inactivated MTB H37Rv Salm = Salmonella typhimurium Smeg = Mycobacterium smegmatis Staph = Staphylococcus epidermidis Yers = Yersinia pseudotuberculosis
2015-03-31 | E-GEOD-67427 | biostudies-arrayexpress