Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR233147.fastq.gz | Fastqsanger.gz | |||
| ERR233148.fastq.gz | Fastqsanger.gz | |||
| ERR233149.fastq.gz | Fastqsanger.gz | |||
| ERR233150.fastq.gz | Fastqsanger.gz | |||
| ERR233151.fastq.gz | Fastqsanger.gz |
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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
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Project description:Pseudomonas aeruginosa (P. aeruginosa) lung infection is a significant cause of mortality in patients with cystic fibrosis (CF). Existing experimental data in our lab showed significantly different levels of virulence of "early" and "late" P. aeruginosa infection isolates in a C. elegans slow killing model. We wished to examine the expression profile of these isolates in order to explore genes that may be responsible for the observed differences. The expression profiles of two pairs of isolates (four isolates in total) were compared to each other using the Affymetrix P. aeruginosa PAO1 genome array, to gain insight into properties mediating virulence in these isolates. Data analysis was carried out using BIOCONDUCTOR software. Keywords: Comparative strain hybridization
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Project description:The opportunistic pathogen Pseudomonas aeruginosa is among the main colonizers of the lungs of cystic fibrosis (CF) patients. We have isolated and sequenced several P. aeruginosa isolates from the sputum of CF patients and used phenotypic, genomic and proteomic analyses to compare these CF derived strains with each other and with the model strain PAO1.
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Project description:Arrays comparing Pseudomonas aeruginosa growth in a defined synthetic cystic fibrosis sputum medium with and without aromatic amino acids. Additional arrays comparing wild-type Pseudomonas aeruginosa and phhR mutant P. aeruginosa in defined synthetic cystic fibrosis sputum medium.
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Project description:Pseudomonas aeruginosa (P. aeruginosa) lung infection is a significant cause of mortality in patients with cystic fibrosis (CF). Existing experimental data in our lab showed significantly different levels of virulence of "early" and "late" P. aeruginosa infection isolates in a C. elegans slow killing model. We wished to examine the expression profile of these isolates in order to explore genes that may be responsible for the observed differences. The expression profiles of two pairs of isolates (four isolates in total) were compared to each other using the Affymetrix P. aeruginosa PAO1 genome array, to gain insight into properties mediating virulence in these isolates. Data analysis was carried out using BIOCONDUCTOR software. Keywords: Comparative strain hybridization Two pairs of isolates (four isolates in total) were compared to each other when grown on Nematode Growth Medium (NGM).
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Project description:Pseudomonas aeruginosa undergoes genetic change during chronic infection of the airways of cystic fibrosis (CF) patients. One common change is mutation of lasR. LasR is a transcriptional regulator that responds to one of the quorum sensing signals in P. aeruginosa, and regulates acute virulence factor expression as well as central metabolic functions. P. aeruginosa mutants in which lasR was inactivated emerged in the airways of CF patients early during chronic infection, and during growth in the laboratory on Luria-Bertani agar. Both environments are rich in amino acids. Inactivation of lasR in these isolates conferred a growth advantage with amino acids, a phenotype that could account for selection of lasR mutants both in vivo and in vitro. P. aeruginosa lasR mutants were identified by their distinctive colony morphology, including autolysis that correlated with an imbalance in 4-hydroxy-2-alkylquinolines (HAQs), and an iridescent metallic sheen likely caused by the accumulation of one such HAQ. The alterations in transcriptional profile due to inactivation of lasR were conserved in isolates from multiple young CF patients. P. aeruginosa lasR mutations may represent surrogate markers to delineate stages in the natural history of CF airway disease, each with different prognostic and therapeutic implications, analogous to the markers used to direct cancer treatment. Similar to cancer cell mutations that promote unrestricted growth, lasR mutations may promote unrestricted growth of P. aeruginosa in the CF airway by enabling more efficient utilization of available amino acids. Analyse the effects of mutation of the lasR gene in Pseudomonas aeruginosa isolates from cystic fibrosis patients by comparing the transcriptional profile of an isolate from a young patient with that of an isogenic engineered lasR mutant.
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Project description:Pseudomonas aeruginosa (P. aeruginosa) lung infection is a significant cause of mortality in patients with cystic fibrosis (CF). Most CF patients acquire unique P. aeruginosa strains from the environment; however clonal strains have been identified in CF communities in several countries. Two clonal strains infect 10% to 40% of patients in three CF clinics in mainland eastern Australia. The expression profiles of four planktonically-grown isolates of one Australian clonal strain (AES-2), and four non–clonal CF P. aeruginosa isolates were compared to each other and to the reference strain PAO1 using the Affymetrix P. aeruginosa PAO1 genome array, to gain insight into properties mediating the enhanced infectivity of AES-1. The isolates were subsequently grown as 3-day old biofilms and similarly extracted for RNA and compared as above. Data analysis was carried out using BIOCONDUCTOR software. Keywords: Comparative strain hybridization
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