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ABSTRACT:
PROVIDER: PRJEB49093 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| ERR9030270_1.fastq.gz | Fastqsanger.gz | |||
| ERR9030270_2.fastq.gz | Fastqsanger.gz | |||
| ERR9030280.fastq.gz | Fastqsanger.gz | |||
| ERR9030300_1.fastq.gz | Fastqsanger.gz |
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Project description:Genomic Sequencing from Sputum for Tuberculosis Disease Diagnosis, Lineage Determination and Drug Susceptibility Prediction
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Project description:Tuberculosis (TB) is still a major global health challenge, killing over 1.5 million people each year, and hence, there is a need to identify and develop novel treatments for Mycobacterium tuberculosis (M. tuberculosis). The prevalence of infections caused by nontuberculous mycobacteria (NTM) is also increasing and has overtaken TB cases in the United States and much of the developed world. Mycobacterium abscessus (M. abscessus) is one of the most frequently encountered NTM and is difficult to treat. We describe the use of drug-disease association using a semantic knowledge graph approach combined with machine learning models that has enabled the identification of several molecules for testing anti-mycobacterial activity. We established that niclosamide (M. tuberculosis IC90 2.95 μM; M. abscessus IC90 59.1 μM) and tribromsalan (M. tuberculosis IC90 76.92 μM; M. abscessus IC90 147.4 μM) inhibit M. tuberculosis and M. abscessus in vitro. To investigate the mode of action, we determined the transcriptional response of M. tuberculosis and M. abscessus to both compounds in axenic log phase, demonstrating a broad effect on gene expression that differed from known M. tuberculosis inhibitors. Both compounds elicited transcriptional responses indicative of respiratory pathway stress and the dysregulation of fatty acid metabolism. Further testing against drug-resistant isolates and other NTM is warranted to clarify the usefulness of these repurposed drugs for mycobacteria.
2024-03-01 | E-MTAB-13761 | biostudies-arrayexpress
Project description:①Background:Tuberculosis is mainly a respiratory tract infection caused by mycobacterium tuberculosis and one of the leading causes of death worldwide. According to the Global Tuberculosis Report in 2021, About a quarter of the world's population is infected with Mycobacterium tuberculosis and China is the second highest burden of TB. Although TB diagnosis and prevention techniques have become more mature, the number of TB cases is still increasing, mainly due to: the prevalence of drug-resistant tuberculosis bacteria, tuberculosis and HIV co-infection, long incubation time of mycobacterium tuberculosis difficult to early diagnosis and so on. Therefore, it is of great significance to study the pathogenesis of mycobacterium tuberculosis infection.②Method: THP-1 cells were treated with 50ng/ml PMA for 24 hours, so that THP-1 cell can be induced into macrophages. After that THP-1 macrophages were infected with mycobacterium tuberculosis H37Rv(MOI=1), which were collected and applied to RNA-sequencing. The constructed sequencing library was sequenced using an Illumina Novaseq 6000 system.
2022-08-31 | GSE203261 | GEO
Project description:Transcriptional profiling of mycobacterium tuberculosis clinical isolates in China comparing extensively drug-resistant tuberculosis with drug sensitive one.
2009-04-04 | GSE15540 | GEO
Project description:Jamshidi2007 - Genome-scale metabolic network
of Mycobacterium tuberculosis (iNJ661)
This model is described in the article:
Investigating the metabolic
capabilities of Mycobacterium tuberculosis H37Rv using the in
silico strain iNJ661 and proposing alternative drug
targets.
Jamshidi N, Palsson BØ.
BMC Syst Biol 2007; 1: 26
Abstract:
BACKGROUND: Mycobacterium tuberculosis continues to be a
major pathogen in the third world, killing almost 2 million
people a year by the most recent estimates. Even in
industrialized countries, the emergence of multi-drug resistant
(MDR) strains of tuberculosis hails the need to develop
additional medications for treatment. Many of the drugs used
for treatment of tuberculosis target metabolic enzymes.
Genome-scale models can be used for analysis, discovery, and as
hypothesis generating tools, which will hopefully assist the
rational drug development process. These models need to be able
to assimilate data from large datasets and analyze them.
RESULTS: We completed a bottom up reconstruction of the
metabolic network of Mycobacterium tuberculosis H37Rv. This
functional in silico bacterium, iNJ661, contains 661 genes and
939 reactions and can produce many of the complex compounds
characteristic to tuberculosis, such as mycolic acids and
mycocerosates. We grew this bacterium in silico on various
media, analyzed the model in the context of multiple
high-throughput data sets, and finally we analyzed the network
in an 'unbiased' manner by calculating the Hard Coupled
Reaction (HCR) sets, groups of reactions that are forced to
operate in unison due to mass conservation and connectivity
constraints. CONCLUSION: Although we observed growth rates
comparable to experimental observations (doubling times ranging
from about 12 to 24 hours) in different media, comparisons of
gene essentiality with experimental data were less encouraging
(generally about 55%). The reasons for the often conflicting
results were multi-fold, including gene expression variability
under different conditions and lack of complete biological
knowledge. Some of the inconsistencies between in vitro and in
silico or in vivo and in silico results highlight specific loci
that are worth further experimental investigations. Finally, by
considering the HCR sets in the context of known drug targets
for tuberculosis treatment we proposed new alternative, but
equivalent drug targets.
This model is hosted on
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and identified by:
MODEL1507180001.
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BioModels Database:
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quantitative kinetic models.
To the extent possible under law, all copyright and related or
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the public domain worldwide. Please refer to
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2024-10-15 | MODEL1507180001 | BioModels
Project description:Transcriptional profiling of mycobacterium tuberculosis clinical isolates in China comparing extensively drug-resistant tuberculosis with drug sensitive one. The same condition experiment. The samples were from the different drug-resistant strains. Only one replicate.
2009-04-04 | E-GEOD-15540 | biostudies-arrayexpress
Project description:Neutrophils are accumulated in mouse lungs following Mycobacterium tuberculosis infections. Increased influx of neutrophils is associated with increased susceptibility to disease, but the underlying mechanisms of neutrophil mediated Tuberculosis disease pathogenesis is poorly understood. To understand the transcriptomic differences between resistant (C57 BL/6) and susceptible (C3HeB/FeJ) mouse lung neutrophils, we sorted them at Day 29 post infection and analyzed them by bulk mRNA sequencing.
2024-09-27 | GSE244230 | GEO
Project description:Pyrazinamide Susceptibility Testing in M. tuberculosis
| PRJEB42011 | ENA
Project description:pan-susceptible mycobacterium tuberculosis from Georgia
| PRJEB50582 | ENA