Ontology highlight
ABSTRACT:
PROVIDER: PRJNA644497 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12162000_1.fastq.gz | Fastqsanger.gz | |||
| SRR12162000_2.fastq.gz | Fastqsanger.gz | |||
| SRR12162001_1.fastq.gz | Fastqsanger.gz | |||
| SRR12162001_2.fastq.gz | Fastqsanger.gz | |||
| SRR12162002_1.fastq.gz | Fastqsanger.gz |
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Project description:ErfA is a transcription factor of Pseudomonas aeruginosa. We here define the genome-wide binding sites of ErfA by DAP-seq in Pseudomonas aeruginosa PAO1 and IHMA87, Pseudomonas chlororaphis PA23, Pseudomonas protegens CHA0 and Pseudomonas putida KT2440.
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Project description:Oberhardt2008 - Genome-scale metabolic
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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
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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.
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BIOLOG substrate oxidation data were used in model expansion,
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Ultimately, this genome-scale model provides a basic modeling
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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
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This model is hosted on
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and identified by:
MODEL1507180020.
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2015-07-30 | MODEL1507180020 | BioModels
Project description:We investigated the specific interactions of the most dominant bacterial CF-pathogen, Pseudomonas aeruginosa, and the anaerobic bacterium Veilllonella parvula, that has been recovered at comparable cell numbers in the respiratory tract of CF patients. We used our recently established in-vivo murine tumor model to investigate mutual influences of the two pathogens during a biofilm-associated infection process. We found that although P. aeruginosa and V. parvula colonized distinct niches within the tumor, in mice that were co-infected with both bacterial species significant higher cell numbers of P. aeruginosa were recovered from the tumor tissue. Concordantly, in vivo transcriptional profiling implied that the presence of V. parvula supports P. aeruginosa growth at the infected host site, and the higher P. aeruginosa load correlated with clinical deterioration.
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Project description:ErfA is a transcription factor of Pseudomonas aeruginosa. We here define the genome-wide binding sites of ErfA by ChIP-seq.
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