NIPH_MDRTB
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB74241 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Efforts to eradicate TB are largely threatened by drug-resistant tuberculosis, particularly, multidrug-resistant tuberculosis (MDR-TB). It is imperative to find one or more specific biomarkers for diagnosing MDR-TB earlier and declining the incidence. Growing evidences have showed lncRNAs are widely expressed and take part in the genesis and development of many diseases, including tuberculosis. Therefore, to screen the differential lncRNAs among MDR-TB, drug-sensitive tuberculosis(DS-TB) and healthy controls(HCs) is a good strategy to acquire potential biomarkers for MDR-TB diagnosis and partly describe the mechanism of MDR-TB. Here, the present study aimed to investigate the differential expression profile of lncRNAs in serum among patients with MDR-TB ,DS-TB and HCs using lncRNA microarray
2021-09-10 | GSE183787 | GEO
Project description:A mass spectrometry strategy of parallel reaction monitoring was used to detect and validate differential proteins in serum. Here are the data including 3 groups of MDR-TB, DS-TB and HC.
2020-09-25 | PXD019604 | Pride
Project description:A mass spectrometry strategy of data-independent acquisition was used to detect differential proteins in serum. Here are the data including 3 groups of MDR-TB, DS-TB and HC.
2020-09-24 | PXD019856 |
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:Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis (TB), latently infects one quarter of the world’s population. The rise of multidrug resistant (MDR) Mtb infections worldwide presents a significant obstacle to curb TB globally. While human studies report dysregulated immune responses in MDR TB patients, there is a lack of clear understanding of the host-pathogen interactions following MDR Mtb infection. We recently showed that Mtb carrying a rifampicin drug resistance (RDR)-conferring single nucleotide polymorphism in the RNA polymerase-B gene (Mtb rpoB-H445Y) can modulate host macrophage metabolic reprogramming by production of Type I IFNs. Here, using a mouse model, we have characterized the host immune response in vivo following RDR Mtb infection. We show that despite establishment of Mtb infection in the lung and dissemination to the peripheral organs, lung myeloid and lymphoid immune responses to RDR Mtb is suppressed through a Type I IFN-dependent mechanism. These results coincide with a muted responses in the bone marrow hematopoietic stem and progenitor cells (HSPCs) and progenitors following RDR Mtb infection. These results suggest that host directed therapeutics and vaccines for drug resistant TB may need to be target specific host immune pathways for protection.
2022-06-01 | GSE176423 | GEO
Project description:Tuberculosis (TB) is still a major life-threatening infectious disease, within which especially the rise of multidrug resistant TB (MDR-TB) is currently worrying. This study focuses on mechanisms of development of rifampicin resistance, since rifampicin seems to play an important role in the development of MDR-TB. To provide further insight in rifampicin resistance, we performed a genome-wide transcriptional profile analysis for Mycobacterium tuberculosis (M. tuberculosis) using microarray technology and qRT-PCR analysis. We exposed a rifampicin-susceptible H37Rv wild type (H37Rv-WT) and a rifampicin-resistant progeny H37Rv strain with a H526Y mutation in the rpoB gene (H37Rv-H526Y) to several concentrations of rifampicin, to define the effect of rifampicin on the transcription profile. Our study showed that there are resistance-dependant differences in response between both M. tuberculosis strains. Gene clusters associated with efflux, transport and virulence were altered in the rifampicin-resistant H37Rv mutant compared to the rifampicin-susceptible H37Rv-WT strain after exposure to rifampicin. We conclude that the small gene cluster Rv0559c-Rv0560c in the H37Rv-H526Y strain was remarkably up-regulated in the microarray analysis and qRT-PCR results and appeared to be dependent on rifampicin concentration and time of exposure. Therefore this study suggests that Rv0559c and Rv0560c play a pivotal role in rifampicin resistance of M. tuberculosis. Further investigation of Rv0559c and Rv0560c is needed to reveal function and mechanism of both genes that were triggered upon rifampicin exposure. [Data is also available from http://bugs.sgul.ac.uk/E-BUGS-139]
2013-04-21 | E-BUGS-139 | biostudies-arrayexpress
Project description:Tuberculosis (TB) accounts for disproportionate morbidity and mortality among persons living with HIV (PLWH). Conventional methods of TB diagnosis, including smear microscopy and Xpert MTB/RIF, have lower sensitivity in PLWH. Novel high-throughput approaches, such as miRNAomics and metabolomics, may advance our ability to diagnose subclinical and difficult to diagnose TB, especially in very advanced HIV. We conducted a case-control study leveraging REMEMBER, a multi-country, open-label randomized controlled trial comparing 4-drug empiric standard TB treatment with isoniazid preventive therapy in PLWH initiating ART with CD4 cell counts <50 cells/uL. Twenty-three cases of incident TB were site-matched with 32 controls to identify miRNAs, cytokines/chemokines, and metabolites associated with the development of newly diagnosed TB in PLWH. Differentially expressed miRNA analysis revealed 11 altered miRNAs with a fold change higher than ±1.4 in cases relative to controls (p<0.05). Differentially altered metabolite analysis showed no significant alterations in metabolites between cases and controls. We found higher TNFα and IP-10/CXCL10 in cases (p=0.011, p=0.0005), and higher MDC/CCL22 in controls (p=0.0072). A decision tree algorithm identified gamma-glutamylthreonine and hsa-miR-215-5p as the optimal variables to classify incident TB cases (AUC 0.965). hsa-miR-215-5p, which targets genes in the TGF-β signaling pathway, was downregulated in cases. Gamma-glutamylthreonine, a breakdown product of protein catabolism, was less abundant in cases. To our knowledge, this is one of the first uses of a multi-omics approach to identify incident TB in a severely immunosuppressed PLWH study.
2021-06-30 | GSE166557 | GEO
Project description:The presence of over-expressed receptors in triple-negative breast cancer (TNBC) leads to the absence of targeted therapy. Tumor budding (TB) has emerged as a recent prognostic indicator. It is essential to pinpoint genes unique to high TB cases to prevent tumor advancement and spread. In this study, we utilized TempO-Seq to profile transcriptomic data from breast cancer samples to identify biomarkers for high TB cases.
2024-09-13 | GSE262825 | GEO