Mycobacterium tuberculosis subsp. tuberculosis strain:Lineage 4
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA549270 | ENA |
REPOSITORIES: ENA
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Project description:Tuberculosis (TB) is one of the top ten causes of death worldwide and the leading cause of death from a single infectious agent. Globally, an estimated of 10 million people developed TB in 2018 according to WHO report. An estimated one third of all TB cases are not diagnosed or notified, partly due to the major limitations of current diagnostic tools. To achieve the goals of the WHO’s End TB Strategy, which targets for 2030 a 90% reduction in the number of TB deaths and an 80% reduction in the TB incidence rate compared with levels in 2015, diagnostic tools are critically important. Among the three diagnostic priorities identified by the WHO and the TB community is the development of a point-of-care biomarker-based non-sputum-based test to diagnose pulmonary TB, and ideally also extrapulmonary TB. To be successfully implemented at point-of-cares, a new test should use an easily accessible sample, such as urine, blood or breath condensate. Here, we explored whether bacilli-derived molecules released in the extracellular milieu during infection could be detected in the exhaled breath condensate, allowing a specific diagnosis of TB. Interestingly, we detected by proteomic analysis a set of Mycobacterium tuberculosis proteins in all smear-positive and smear-negative adult patients, as well as of children with TB
2023-03-10 | PXD028477 | Pride
Project description:The ability of Mycobacterium tuberculosis (Mtb) to adopt heterogeneous physiological states, underlies it’s success in evading the immune system and tolerating antibiotic killing. Drug tolerant phenotypes are a major reason why the tuberculosis (TB) mortality rate is so high, with over 1.8 million deaths annually. To develop new TB therapeutics that better treat the infection (faster and more completely), a systems-level approach is needed to reveal the complexity of network-based adaptations of Mtb. Here, we report the transcriptional response of Mtb to the drug clofazamine. We performed transcriptomic sequencing (RNA-seq) on Mtb bacilli at 4, 24, 72 h following exposure to the drug.
2021-12-15 | GSE165913 | GEO
Project description:The ability of Mycobacterium tuberculosis (Mtb) to adopt heterogeneous physiological states, underlies it’s success in evading the immune system and tolerating antibiotic killing. Drug tolerant phenotypes are a major reason why the tuberculosis (TB) mortality rate is so high, with over 1.8 million deaths annually. To develop new TB therapeutics that better treat the infection (faster and more completely), a systems-level approach is needed to reveal the complexity of network-based adaptations of Mtb. Here, we report the transcriptional response of Mtb to the drug pretomanid. We performed transcriptomic sequencing (RNA-seq) on Mtb bacilli at 4, 24, 72 h following exposure to the drug.
2021-12-15 | GSE165671 | GEO
Project description:The ability of Mycobacterium tuberculosis (Mtb) to adopt heterogeneous physiological states, underlies it’s success in evading the immune system and tolerating antibiotic killing. Drug tolerant phenotypes are a major reason why the tuberculosis (TB) mortality rate is so high, with over 1.8 million deaths annually. To develop new TB therapeutics that better treat the infection (faster and more completely), a systems-level approach is needed to reveal the complexity of network-based adaptations of Mtb. Here, we report the transcriptional response of Mtb to the drug isoniazid. We performed transcriptomic sequencing (RNA-seq) on Mtb bacilli at 4, 24, 72 h following exposure to the drug.
2021-12-15 | GSE165581 | GEO
Project description:The ability of Mycobacterium tuberculosis (Mtb) to adopt heterogeneous physiological states, underlies it’s success in evading the immune system and tolerating antibiotic killing. Drug tolerant phenotypes are a major reason why the tuberculosis (TB) mortality rate is so high, with over 1.8 million deaths annually. To develop new TB therapeutics that better treat the infection (faster and more completely), a systems-level approach is needed to reveal the complexity of network-based adaptations of Mtb. Here, we report the transcriptional response of Mtb to the drug Rifampicin. We performed transcriptomic sequencing (RNA-seq) on Mtb bacilli at 4, 24, 72 h following exposure to the drug.
2021-12-15 | GSE166622 | GEO
Project description:The ability of Mycobacterium tuberculosis (Mtb) to adopt heterogeneous physiological states, underlies it’s success in evading the immune system and tolerating antibiotic killing. Drug tolerant phenotypes are a major reason why the tuberculosis (TB) mortality rate is so high, with over 1.8 million deaths annually. To develop new TB therapeutics that better treat the infection (faster and more completely), a systems-level approach is needed to reveal the complexity of network-based adaptations of Mtb. Here, we report the transcriptional response of Mtb to the drug Bedaquiline. We performed transcriptomic sequencing (RNA-seq) on Mtb bacilli at 4, 24, 72 h following exposure to the drug.
2021-12-15 | GSE166546 | GEO
Project description:The ability of Mycobacterium tuberculosis (Mtb) to adopt heterogeneous physiological states, underlies it’s success in evading the immune system and tolerating antibiotic killing. Drug tolerant phenotypes are a major reason why the tuberculosis (TB) mortality rate is so high, with over 1.8 million deaths annually. To develop new TB therapeutics that better treat the infection (faster and more completely), a systems-level approach is needed to reveal the complexity of network-based adaptations of Mtb. Here, we report the transcriptional response of Mtb to the drug Moxifloxacin. We performed transcriptomic sequencing (RNA-seq) on Mtb bacilli at 4, 24, 72 h following exposure to the drug.
2021-12-15 | GSE166501 | GEO
Project description:The ability of Mycobacterium tuberculosis (Mtb) to adopt heterogeneous physiological states, underlies it’s success in evading the immune system and tolerating antibiotic killing. Drug tolerant phenotypes are a major reason why the tuberculosis (TB) mortality rate is so high, with over 1.8 million deaths annually. To develop new TB therapeutics that better treat the infection (faster and more completely), a systems-level approach is needed to reveal the complexity of network-based adaptations of Mtb. Here, we report the transcriptional response of Mtb to the drug linezolid. We performed transcriptomic sequencing (RNA-seq) on Mtb bacilli at 4, 24, 72 h following exposure to the drug.
2021-12-15 | GSE166271 | GEO
Project description:The ability of Mycobacterium tuberculosis (Mtb) to adopt heterogeneous physiological states, underlies it’s success in evading the immune system and tolerating antibiotic killing. Drug tolerant phenotypes are a major reason why the tuberculosis (TB) mortality rate is so high, with over 1.8 million deaths annually. To develop new TB therapeutics that better treat the infection (faster and more completely), a systems-level approach is needed to reveal the complexity of network-based adaptations of Mtb. Here, we report the transcriptional response of Mtb to the drug Pyrazinoic acid . We performed transcriptomic sequencing (RNA-seq) on Mtb bacilli at 4, 24, 72 h following exposure to the drug.
2021-12-15 | GSE166677 | GEO
Project description:Tuberculosis (TB) remains one of the world’s major infectious diseases affecting nations with limited public health resources. Multidrug resistance development has seriously compromised therapeutic treatment choices. The pathology of latent TB shows evidence of a reservoir of Mycobacterium tuberculosis (Mtb) in the lungs of affected individuals. If the pathogen is contained by the immune system, no overt disease symptoms occur. The environmental and internal triggers leading to disease reactivation are not well understood. Proteomic investigations of blood plasma and sputum derived from subjects with active TB versus latent TB versus healthy individuals may yield new biomarkers and, when surveying larger longitudinally monitored cohorts, may discriminate infection outcomes in an endemic setting.
2021-05-26 | PXD012412 | Pride