Pseudomonas aeruginosa
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Similar Datasets
Project description:Pseudomonas aeruginosa is known to tolerate antibiotic therapy during infection. This prevents clearance of infection and negatively impacts patient outcomes. Here, we report the transcriptome sequence of antibiotic-treated and untreated P. aeruginosa cultures and the differential gene expression observed when treated cells are compared to untreated cells.
2018-10-31 | GSE120602 | GEO
Project description:Pseudomonas aeruginosa PA3973 encodes a putative TetR family transcriptional regulator, with a helix-turn-helix motif involved in DNA binding. We applied phenotype analyses, as well as transcriptome profiling (RNA-seq), and genome-wide identification of binding sites using ChIP-seq to unravel the biological role of PA3973. The ChIP-seq analysis identified more than 300 PA3973 binding sites in the P. aeruginosa genome, among them 139 were located in intergenic regions. The 13 bp sequence was identified as the preferential binding site of PA3973. The PA3973 regulon encompasses genes involved in stress response, including the putative PA3973-PA3970 operon. Transcriptional profiling of P. aeruginosa PAO1161 overexpressing PA3973 showed changes in the mRNA level of 648 genes; among them, 374 were down-regulated. Concomitantly, ChIP-seq analysis identified more than 300 PA3973 binding sites in the P. aeruginosa genome, among them 139 were located in intergenic regions. The 13 bp sequence was identified as the preferential binding site of PA3973.
2022-11-22 | GSE211769 | GEO
Project description:Pseudomonas aeruginosa PARM801 complete genome sequence
| PRJNA328898 | ENA
Project description:A knockout of nrtR gene (PA4916) of Pseudomonas aeruginosa leads to the global changes in metabolic profile of the pathogen to its complete avirulence.
2014-02-01 | GSE39867 | 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:We report the transcriptome of Pseudomonas aeruginosa PA14 under swarming conditions as compared to a swimming control
2019-12-23 | GSE121504 | GEO
Project description:Transcriptional profile of Pseudomonas aeruginosa infected cells
2023-01-01 | GSE199424 | 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.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180020.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-07-30 | MODEL1507180020 | BioModels
Project description:Complete genome sequence of Pseudomonas aeruginosa NCGM1984
| PRJDB3032 | ENA
Project description:Complete genome sequence of Pseudomonas aeruginosa NCGM1900
| PRJDB2972 | ENA