Pseudomonas aeruginosa AES-1R
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA64619 | ENA |
REPOSITORIES: ENA
Similar Datasets
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
2009-02-05 | GSE10304 | GEO
Project description:Pseudomonas aeruginosa infections for individuals with Cystic Fibrosis (CF), result in high morbidity and mortality, with premature death often occurring. These infections are complicated by the formation of biofilms in the sputum. Antibiotic therapy is stymied by antibiotic resistance of the biofilm matrix, making novel anti-biofilm strategies highly desirable. Within the P. aeruginosa biofilm, the redox factor pyocyanin enhances biofilm integrity by intercalating with extracellular DNA. The antioxidant glutathione (GSH) reacts with pyocyanin to disrupt intercalation. This study investigated GSH disruption by assaying the physiological effects of GSH and DNase I on biofilms of clinical CF isolates grown in artificial CF sputum media (ASMDM+). Confocal scanning laser microscopy showed that 2mM GSH alone or combined with DNase I significantly disrupted the immature (24 hour) biofilms of Australian Epidemic Strain (AES) isogens AES-1R and AES-1M. GSH alone greatly disrupted the mature (72 hour) biofilm of AES-1R, resulting in significant differential expression of 587 genes, as evidenced by RNA-sequencing. Upregulated systems included cyclic diguanylate and pyoverdine biosynthesis, the Type VI secretion system, nitrate metabolism and translational machinery. Physiochemical biofilm disruption with GSH revealed a metabolically active cellular physiology distinct from either mature or dispersed biofilm physiology. RNA-seq results were validated by biochemical assay and qPCR. Biofilms of a range of CF isolates disrupted with GSH and DNase I were significantly more susceptible to ciprofloxacin, and increased antibiotic effectiveness was achieved at 10mM GSH. This study demonstrated that GSH alone or with DNase I represent effective anti-biofilm treatments when combined with appropriate antibiotics.
2016-02-01 | GSE75334 | GEO
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-1), 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
2008-12-05 | GSE6122 | GEO
Project description:Pseudomonas aeruginosa is a common bacteria leading to exacerbations of chronic obstructive pulmonary disease (COPD) patients while this bacteria can be easily eradicated by the immune systems of healthy individuals. Human airway organoids derived from healthy individuals and COPD patients were infected with pseudomonas aeruginosa. This project aims (1) to understand the differences in gene expressions in healthy and COPD airway organoids during stable condition, without infection and (2) to investigate differential pathogenic mechanism (i.e. antimicrobial defense) of pseudomonoas aeruginosa infection in healthy and COPD populations. Three healthy donors and three COPD patients were included in this study and samples were collected with and without pseudomonas aeruginosa infection.
2022-11-10 | GSE201465 | GEO
Project description:To further determine the origin of the increased virulence of Pseudomonas aeruginosa PA14 compared to Pseudomonas aeruginosa PAO1, we report a transcriptomic approach through RNA sequencing. Next-generation sequencing (NGS) has revolutioned sistems-based analsis of transcriptomic pathways. The goals of this study are to compare the transcriptomic profile of all 5263 orthologous genes of these nearly two strains of Pseudomonas aeruginosa.
2019-09-23 | GSE125646 | GEO
Project description:Analysis of Pseudomonas aeruginosa PAO1 treated with 200 µM sphingomyelin. Results provide insight into the response to sphingomyelin in P. aeruginosa.
2017-02-12 | GSE83078 | GEO
Project description:Gene expression in AES-2 clonal isolates of Pseudomonas aeruginosa
| PRJNA108523 | ENA
Project description:We report RNA sequencing data for mRNA transcripts obtained from tobramycin exposed phoenix colonies, VBNCs, and various controls (untreated lawn, edge of the zone of clearance of tobramycin, treated outer background lawn). Extracted mRNA was sequenced using an Illumina HiSeq 4000, mapped to a Pseudomonas aeruginosa PAO1 reference genome, and processed to obtain counts for all gene transcripts for each sample. This is the first sequencing data generated for Pseudomonas aeruginosa phoenix colonies and VBNCs.
2022-03-27 | GSE199323 | GEO
Project description:We report the transcriptome of Pseudomonas aeruginosa PA14 under swarming conditions as compared to a swimming control
2019-12-23 | GSE121504 | GEO
Project description:Oberhardt2008 - Genome-scale metabolic
network of Pseudomonas aeruginosa (iMO1056)
This model is described in the article:
Genome-scale metabolic
network analysis of the opportunistic pathogen Pseudomonas
aeruginosa PAO1.
Oberhardt MA, Puchałka J, Fryer
KE, Martins dos Santos VA, Papin JA.
J. Bacteriol. 2008 Apr; 190(8):
2790-2803
Abstract:
Pseudomonas aeruginosa is a major life-threatening
opportunistic pathogen that commonly infects immunocompromised
patients. This bacterium owes its success as a pathogen largely
to its metabolic versatility and flexibility. A thorough
understanding of P. aeruginosa's metabolism is thus pivotal for
the design of effective intervention strategies. Here we aim to
provide, through systems analysis, a basis for the
characterization of the genome-scale properties of this
pathogen's versatile metabolic network. To this end, we
reconstructed a genome-scale metabolic network of Pseudomonas
aeruginosa PAO1. This reconstruction accounts for 1,056 genes
(19% of the genome), 1,030 proteins, and 883 reactions. Flux
balance analysis was used to identify key features of P.
aeruginosa metabolism, such as growth yield, under defined
conditions and with defined knowledge gaps within the network.
BIOLOG substrate oxidation data were used in model expansion,
and a genome-scale transposon knockout set was compared against
in silico knockout predictions to validate the model.
Ultimately, this genome-scale model provides a basic modeling
framework with which to explore the metabolism of P. aeruginosa
in the context of its environmental and genetic constraints,
thereby contributing to a more thorough understanding of the
genotype-phenotype relationships in this resourceful and
dangerous pathogen.
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2015-07-30 | MODEL1507180020 | BioModels