Ontology highlight
ABSTRACT:
PROVIDER: PRJNA504928 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8183390_1.fastq.gz | Fastqsanger.gz | |||
| SRR8183390_2.fastq.gz | Fastqsanger.gz | |||
| SRR8183391_1.fastq.gz | Fastqsanger.gz | |||
| SRR8183391_2.fastq.gz | Fastqsanger.gz | |||
| SRR8183392_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
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.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180020.
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2015-07-30 | MODEL1507180020 | BioModels
Project description:Pseudomonas aeruginosa is an opportunistic pathogen which causes acute and chronic infections that are difficult to treat. Comparative genomic analysis has showed a great genome diversity among P. aeruginosa clinical strains and revealed important regulatory traits during chronic adaptation. While current investigation of epigenetics of P. aeruginosa is still lacking, understanding the epigenetic regulation may provide biomarkers for diagnosis and reveal important regulatory mechanisms. The present study focused on characterization of DNA methyltransferases (MTases) in a chronically adapted P. aeruginosa clinical strain TBCF10839. Single-molecule real-time sequencing (SMRT-seq) was used to characterize the methylome of TBCF. RCCANNNNNNNTGAR and TRGANNNNNNTGC were identified as target motifs of DNA MTases, M.PaeTBCFI and M.PaeTBCFII, respectively.
2023-07-22 | GSE209530 | GEO
Project description:Pseudomonas aeruginosa is an opportunistic human pathogen, infecting immuno-compromised patients and causing persistent respiratory infections in people affected from cystic fibrosis. Pseudomonas strain Pseudomonas aeruginosa PA14 shows higher virulence than Pseudomonas aeruginosa PAO1 in a wide range of hosts including insects, nematodes and plants but the precise cause of this difference is not fully understood. Little is known about the host response upon infection with Pseudomonas and whether or not transcription is being affected as a host defense mechanism or altered in the benefit of the pathogen. In this context the social amoeba Dictyostelium discoideum has been described as a suitable host to study virulence of Pseudomonas and other opportunistic pathogens.
2008-07-09 | E-TABM-464 | biostudies-arrayexpress
Project description:We examined whether the budding yeast Saccharomyces cerevisiae can sense chemical signals from prokaryotes, specifically a variety of quorum sensing molecules from different bacteria species and from Candida albicans. We found that only N-acyl-3-oxo-dodecanoyl homoserine lactone (C12) from the opportunistic human pathogen Pseudomonas aeruginosa induces a stress response in yeast. Microarray experiments were performed in order to continue investigating the stress response. We treated S. cerevesiae (WT strain W303) with N-(3-oxo-dodecanoyl) homoserine lactone (C12), a quorum sensing molecule of Pseudomonas aeruginosa, which we found causes a stress response using a GFP reporter for HSP-12. Treatment conditions: 100 uM C12, 100 uM C12-lactam (control: synthetic analogue of C12 that is inactive in P. aeruginosa), DMSO (control: solvent), and 0.3 mM H2O2 (for comparison to oxidative stress).
2020-03-02 | E-MTAB-4802 | biostudies-arrayexpress
Project description:Opportunistic pathogen that causes melioidosis
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