Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1213709 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene expression profiles of human cell (THP-1) lines exposed to a novel Daboiatoxin (DbTx) isolated from Daboia russelli russelli, and specific cytokines and inflammatory pathways involved in acute infection caused by Burkholderia pseudomallei. Keywords: Melioidosis, Burkholderia pseudomallei, Daboiatoxin, Cytokines, Inflammation.
2010-05-31 | GSE7577 | GEO
Project description:Recent progress in unbiased metagenomic next-generation sequencing (mNGS) allows simultaneous examination of microbial and host genetic material in a single test. Leveraging affordable bronchoalveolar lavage fluid (BALF) mNGS data, we employed machine learning to create a diagnostic approach distinguishing lung cancer from pulmonary infections, conditions prone to misdiagnosis in clinical settings. This prospective study analyzed BALF-mNGS data from lung cancer and pulmonary infection patients, delineating differences in DNA/RNA microbial composition, bacteriophage abundances, and host responses, including gene expression, transposable element levels, immune cell composition, and tumor fraction derived from copy number variation (CNV). Integrating these metrics into a host/microbe metagenomics-driven machine learning model (Model VI) demonstrated robustness, achieving an AUC of 0.87 (95% CI = 0.857-0.883), sensitivity = 73.8%, and specificity = 84.5% in the training cohort, and an AUC of 0.831 (95% CI = 0.819-0.843), sensitivity = 67.1%, and specificity = 94.4% in the validation cohort for distinguishing lung cancer from pulmonary infections. The application of a rule-in and rule-out strategy-based composite predictive model significantly enhances accuracy (ACC) in distinguishing between lung cancer and tuberculosis (ACC=0.913), fungal infection (ACC=0.955), and bacterial infection (ACC=0.836). These findings highlight the potential of cost-effective mNGS-based analysis as a valuable tool for early differentiation between lung cancer and pulmonary infections, offering significant benefits through a single comprehensive testing.
2024-01-08 | GSE252118 | GEO
Project description:Melioidosis, caused by the Gram-negative bacterium Burkholderia pseudomallei, is a disease endemic to South-East Asia and Northern Australia. Clinical presentation is highly variable, ranging from asymptomatic to fatal septicaemia, and thus the outcome of infection can depend on the host immune responses. The aim of this study was to characterise the macrophage immune response to B. pseudomallei in the presence of novel inhibitors targeting the virulence factor, Macrophage Infectivity Potentiator (Mip) protein. To do this. murine macrophage J774A.1 cells were infected with B. pseudomallei K96243 in the presence and absence of two small-molecule inhibitors designed to target the Mip protein. Global transcriptional profiling of macrophages infected with B. pseudomallei was analysed by RNA-Seq four hours post-infection. In the presence of Mip inhibitors, we found a significant reduction in the expression of pro-inflammatory cytokines highlighting the potential to utilize Mip inhibitors to dampen potentially harmful pro-inflammatory responses resulting from B. pseudomallei infection in macrophages. We then performed gene expression profiling analysis using data obtained from RNA-seq of J774A.1 macrophages infected with Burkholderia pseudomallei in the presence of two Mip inhibitors or vehicle control 4 hours post-infection
2024-03-06 | GSE244127 | GEO
Project description:Array-CGH analysis and Burkholderia pseudomallei isolates pre and post ceftazidime relapse.
2011-10-07 | GSE25832 | GEO
Project description:Gene expression profiles of human cell (THP-1) lines exposed to a novel Daboiatoxin (DbTx) isolated from Daboia russelli russelli, and specific cytokines and inflammatory pathways involved in acute infection caused by Burkholderia pseudomallei. Experiment Overall Design: 1. Group I:- Human monocytic macrophage (THP-1) cell lines grown in the culture medium without any bacterial infection served as untreated control group (Three Biological Replicates). Experiment Overall Design: 2. Group II:- THP-1 cells were infected with Burkholderia pseudomallei (A600 nm = OD 0.6, ~5 x 107 cfu/ml) for 24h served as a disease control group (Three Biological Replicates). Experiment Overall Design: 3. Group III:- THP-1 cells were infected with B. pseudomallei and treated with Daboiatoxin (0.5 mM) isolated from Daboia russelli russelli venom served as a treatment group (Three Biological Replicates). Experiment Overall Design: 4. Group IV:- THP-1 cells were infected with B. pseudomallei (A600 nm = OD 0.6, ~5 x 107 cfu/ml) treated with standard antimicrobial drug ceftazidime (10mg/ml) served as a drug control (Three Biological Replicates). Experiment Overall Design: 5. Group V:- THP-1 cells were exposed to Daboiatoxin (0.5 mM) without bacterial infection (Three Biological Replicates).
2009-04-04 | E-GEOD-7577 | biostudies-arrayexpress
Project description:Burkholderia pseudomallei serial patient
| PRJEB2119 | ENA
Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of DNA methylations in Burkholderia pseudomallei. SMRTbell™ sequencing
2014-09-15 | E-GEOD-55168 | biostudies-arrayexpress