Mycobacterium tuberculosis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA240291 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Bacterial persister cells are phenotypic variants of regular cells that are tolerant to antibiotics. High-persister (hip) mutants of Mycobacterium tuberculosis produce 10- to 1,000-fold more persister cells than the wild type strain when challenged with various antibiotics. Comparison of gene expression pattern of the hip mutants may provide clues as to the genetic mechanisms underlying persister formation. Transcriptome analysis will provide information on what differentiates M. tuberculosis hip strains from regular strains, which will be useful in the development of anti-persister therapy for persister cell eradication.
2014-04-07 | GSE55647 | GEO
Project description:Bacterial persister cells are phenotypic variants of regular cells that are tolerant to antibiotics. High-persister (hip) mutants of Mycobacterium tuberculosis produce 10- to 1,000-fold more persister cells than the wild type strain when challenged with various antibiotics. Comparison of gene expression pattern of the hip mutants may provide clues as to the genetic mechanisms underlying persister formation. Transcriptome analysis will provide information on what differentiates M. tuberculosis hip strains from regular strains, which will be useful in the development of anti-persister therapy for persister cell eradication. Twelve independent M. tuberculosis hip mutants and the wild type strain were grown to stationary phase in duplicate. To avoid analyzing the drug effect, total RNA was extracted from the cultures prior to the addition of antibiotic for hybridization to Affymetrix microarrays. Data analysis was performed by comparing the hip mutants to the wild type control.
2014-04-07 | E-GEOD-55647 | biostudies-arrayexpress
Project description:Bacterial persister cells are phenotypic variants of regular cells that are tolerant to antibiotics. Analysis of clinical isolates of M. tuberculosis showed that strains vary substantially in their tolerance to antibiotics. The level of persisters was very high is some isolates, suggesting that these are hip mutants. We investigated gene expression differences in eight clinical isolates, four of which we characterized as high-persister strains and four as low-persister, or regular, strains. Comparison of gene expression patterns may provide clues as to the genetic mechanisms underlying persister formation.
2015-01-01 | GSE62025 | GEO
Project description:Mycobacterium tuberculosis Persister Stimulon
| PRJNA340377 | ENA
Project description:Mycothiol (MSH) and ergothioneine (ERG) are thiols able to compensate for each other to protect mycobacteria such as Mycobacterium smegmatis against oxidative stress. Gamma-glutamylcysteine (GGC), another thiol and an intermediate in ERG biosynthesis has detoxification abilities. Five enzymes are involved in ERG biosynthesis, namely EgtA, EgtB, EgtC, EgtD and EgtE. The role of these enzymes in the production of ERG had been unclear. On the other hand, the enzyme MshA is known to be essential for MSH biosynthesis. In this manuscript, we describe the raw data of the generation and characterization of Mycobacterium tuberculosis (M.tb) mutants harbouring a deletion of the gene coding for each of these enzymes, and the raw data of the phenotypic characterization of the obtained thiol-deficient M.tb mutants. Through a high throughput screening approach, compounds not previously used in a tuberculosis (TB) regimen were identified. Raw data depicting the effect of these compounds on the generated thiol-deficient M.tb mutants, on the production of reactive oxygen species (ROS) and thiols in the M.tb wild type strain are described in this study.
2018-07-05 | MTBLS661 | MetaboLights
Project description:LC-MS/MS tryptic peptide data comprising both label free (phosphoproteome) and TMT10 (global and phosphoproteome) analysis of mycobacterium tuberculosis mutants (WT, GoF, and LoF) grown at stationary phase. Data was searched with MS-GF+ (TMT) and MaxQuant (label free).
2021-10-21 | MSV000088254 | MassIVE
Project description:Comparison of gene expression profile of the whiB4 mutant strain of Mycobacterium tuberculosis with the wild type Mycobacterium tuberculosis H37RV Mtb WhiB4 mutant mRNA was compared with the mRNA of wtMtb H37RV under aerobic conditons
2012-07-24 | GSE37840 | GEO
Project description:Transcriptional profiling of SirR and manganese regulated expression of genes in Mycobacterium tuberculosis strains comparing high manganese vs. low manganese in Rv (wild type Mycobacterium tuberculosis) and ST70 (mntR mutant strain of Mycobacterium tuberculosis)
2015-12-08 | GSE70812 | GEO
Project description:Transcriptional profiling of SirR and manganese regulated expression of genes in Mycobacterium tuberculosis strains comparing high manganese vs. low manganese in Rv (wild type Mycobacterium tuberculosis) and ST70 (mntR mutant strain of Mycobacterium tuberculosis) Two strains each with two conditions experiment, Rv (Mycobacterium tuberculosis wild type strain) high manganese vs. low manganese and ST70 (mntR mutant strain of Mycobacterium tuberculosis) high manganese vs. low manganese. Number of biological replicates is 3 for each condition for each strain.
2015-12-08 | E-GEOD-70812 | biostudies-arrayexpress
Project description:Beste2007 - Genome-scale metabolic network of
Mycobacterium tuberculosis (GSMN_TB)
This model is described in the article:
GSMN-TB: a web-based
genome-scale network model of Mycobacterium tuberculosis
metabolism.
Beste DJ, Hooper T, Stewart G, Bonde
B, Avignone-Rossa C, Bushell ME, Wheeler P, Klamt S, Kierzek AM,
McFadden J.
Genome Biol. 2007; 8(5): R89
Abstract:
BACKGROUND: An impediment to the rational development of
novel drugs against tuberculosis (TB) is a general paucity of
knowledge concerning the metabolism of Mycobacterium
tuberculosis, particularly during infection. Constraint-based
modeling provides a novel approach to investigating microbial
metabolism but has not yet been applied to genome-scale
modeling of M. tuberculosis. RESULTS: GSMN-TB, a genome-scale
metabolic model of M. tuberculosis, was constructed, consisting
of 849 unique reactions and 739 metabolites, and involving 726
genes. The model was calibrated by growing Mycobacterium bovis
bacille Calmette Guérin in continuous culture and
steady-state growth parameters were measured. Flux balance
analysis was used to calculate substrate consumption rates,
which were shown to correspond closely to experimentally
determined values. Predictions of gene essentiality were also
made by flux balance analysis simulation and were compared with
global mutagenesis data for M. tuberculosis grown in vitro. A
prediction accuracy of 78% was achieved. Known drug targets
were predicted to be essential by the model. The model
demonstrated a potential role for the enzyme isocitrate lyase
during the slow growth of mycobacteria, and this hypothesis was
experimentally verified. An interactive web-based version of
the model is available. CONCLUSION: The GSMN-TB model
successfully simulated many of the growth properties of M.
tuberculosis. The model provides a means to examine the
metabolic flexibility of bacteria and predict the phenotype of
mutants, and it highlights previously unexplored features of M.
tuberculosis metabolism.
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2015-07-30 | MODEL1507180021 | BioModels