Ontology highlight
ABSTRACT:
PROVIDER: PRJNA718312 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Cystic fibrosis Stenotrophomonas maltophilia
| PRJNA799609 | ENA
Project description:We sought to determine how a cystic fibrosis isolate of Stenotrophomonas maltophilia responds to relevant pH gradients (pH 5, 7, and 9) by growing the bacterium in phosphate buffered media and conducting RNAseq experiments. Our data suggests acidic conditions are stressful for strain FLR19, as it responded by increasing expression of stress-response and antibiotic-resistance genes.
2018-10-17 | GSE121347 | GEO
Project description:Stenotrophomonas maltophilia is an emerging opportunistic multidrug-resistant pathogen frequently co-isolated with other relevant nosocomial pathogens in respiratory tract infections. S. maltophilia uses the endogenous DSF quorum sensing (QS) system to regulate virulence processes but can also respond to exogenous AHL signals produced by neighboring bacteria. A whole-transcriptome sequencing analysis was performed for S. maltophilia strain K279a in the exponential and stationary phases and in exponential cultures after a treatment with exogenous DSF or AHLs. Among the common top upregulated genes, the putative TetR-like regulator Smlt2053 was selected for functional characterization. This regulator was found to sense long-chain fatty acids, including the QS signal DSF, and activate a β-oxidation catabolic pathway.
2023-05-16 | GSE206554 | GEO
Project description:Rapid evaporative ionisation mass spectrometry (REIMS) is a novel technique for the real-time analysis of biological material. It works by conducting an electrical current through a sample, causing it to rapidly heat and evaporate, with the analyte containing vapour channelled to a mass spectrometer. It was used to characterise the metabolome of 45 Pseudomonas aeruginosa (P. aeruginosa) isolates from cystic fibrosis (CF) patients and compared to 80 non-CF P. aeruginosa. Phospholipids gave the highest signal intensity; 17 rhamnolipids and 18 quorum sensing molecules were detected, demonstrating that REIMS has potential for the study of virulence-related metabolites. P. aeruginosa isolates obtained from respiratory samples showed a higher diversity, which was attributed to the chronic nature of most respiratory infections. The analytical sensitivity of REIMS allowed the detection of a metabolome that could be used to classify individual P. aeruginosa isolates after repeated culturing with 81% accuracy, and an average 83% concordance with multilocus sequence typing. This study underpins the capacities of REIMS as a tool with clinical applications, such as metabolic phenotyping of the important CF pathogen P. aeruginosa, and highlights the potential of metabolic fingerprinting for fine scale characterisation at a sub-species level.
2022-01-26 | MTBLS644 | MetaboLights
Project description:The interactions between Gram-negative respiratory pathogens and the host environment at the site of infection largely unknown. Pulmonary surfactant serves as an initial point of contact for inhaled bacteria entering the lung and is thought to contain molecular cues that aid colonization and pathogenesis. To gain insight into this ecological transition, we characterized the transcriptional responses of Pseudomonas aeruginosa PA14, Burkholderia thailandensis E264, Klebsiella pneumoniae MGH 78578, and Stenotrophomonas maltophilia K279A exposed to purified pulmonary surfactant (Survanta) through microarrays. This study provides novel insight into the interactions occurring between Gram-negative opportunistic pathogens and the host at an important infection site, and demonstrates the utility of purified lung surfactant preparations for dissecting host-lung pathogen interactions in vitro. The goal of this study was to compare the transcriptional responses of Pseudomonas aeruginosa PA14, Burkholderia thailandensis E264, Klebsiella pneumoniae MGH 78578, and Stenotrophomonas maltophilia K279A exposed to pulmonary surfactant using a custom affymetrix chip designed for their genomes. The goal of this study was to compare the transcriptional responses of Pseudomonas aeruginosa PA14, Burkholderia thailandensis E264, Klebsiella pneumoniae MGH 78578, and Stenotrophomonas maltophilia K279A exposed to pulmonary surfactant using a custom affymetrix chip designed for their genomes.
2018-03-30 | GSE110628 | GEO
Project description:Pseudomonas aeruginosa airway infection is the primary cause of death in Cystic Fibrosis (CF). During early infection P. aeruginosa produces multiple virulence factors, which cause acute pulmonary disease and are largely regulated by quorum sensing (QS) intercellular signalling networks. Longitudinal clinical studies have observed the loss, through adaptive mutation, of QS and QS-related virulence in late chronic infection. Although the mechanisms are not understood, infection with QS mutants has been linked to a worse outcome for CF patients. By comparing QS-active and QS-inactive P. aeruginosa CF isolates, we have identified novel virulence factors and pathways associated with QS disruption. In particular, we noted factors implicating increased intra-phagocyte survival. Our data present novel targets as candidates for future CF therapies. Some of these targets are already the subject of drug development programmes for the treatment of other bacterial pathogens and may provide cross-over benefit to the CF population. Refer to individual Series. This SuperSeries is composed of the following subset Series: GSE25128: Gene expression data from Pseudomonas aeruginosa strains isolated from cystic fibrosis lung infections GSE25129: Comparative genomic hybridisation data from Pseudomonas aeruginosa strains isolated from cystic fibrosis lung infections
2010-11-04 | E-GEOD-25130 | biostudies-arrayexpress
Project description:Draft genomes of two cystic fibrosis isolates of Stenotrophomonas maltophilia, AU30115 and AU32848
| PRJNA483996 | ENA
Project description:Within this work we identified and characterized gene Bmul_2557 (ldhR) of B. multivorans ATCC 17616, a bacterial species associated with chronic respiratory infections in cystic fibrosis patients. LdhR belongs to the LysR-type family of transcriptional regulators and its deletion from the B. multivorans genome affected considerably the formation of planktonic cellular aggregates and surface-attached biofilms.
2017-07-28 | GSE97006 | GEO
Project description:Secondhand smoke exposure (SHSe) is a common environmental factor known to increase asthma severity and respiratory infections in children, as well disrupt metabolic signals and host immune responses in patients with cystic fibrosis (CF). This study defines biomarkers and metabolic profiles of SHSe (includes ENDS exposure) in the young CF population and determines how SHSe impacts regulation of infection, inflammation, and respiratory health.
2018-10-10 | ST001079 | MetabolomicsWorkbench