GEO DataSets

(Submitter supplied) The bacterial heat-shock response is regulated by the alternative sigma factor sigma 32 (RpoH), which responds to misfolded protein stress and directs the RNA polymerase to the promoterss for genes required for protein refolding or degradation. In P. aeruginosa, RpoH is essential for viability under laboratory growth conditions. Here, we used a transcriptomics approach to identify the genes of the RpoH regulon, including RpoH-regulated genes that are essential for P. more...

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

6 Samples

Download data: CEL

(Submitter supplied) In this study, we describe a transcriptome analysis to compare the gene expression profile of P. aeruginosa PAO1 and its rhlA-knockout derivative, using Affymetrix GeneChipTM P. aeruginosa genome arrays and real-time qPCR analysis. We tested the hypothesis that RhlA-derived biosurfactants affect gene expression, under dynamic growth conditions, at stationary phase of growth. mRNA samples from cell lines were amplified, labeled, and hybridized to the GeneChip® P. more...

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

6 Samples

Download data: CEL, CHP

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Pseudomonas aeruginosa; Staphylococcus aureus; Acinetobacter baumannii AB5075

Type:

Expression profiling by array

Platforms:

GPL84 GPL30872 GPL1339

30 Samples

Download data: CEL, CHP, GPR

(Submitter supplied) Pseudomonas aeruginosa pathogenicity mainly relies on its ability to finely control the expression of virulence determinants via multiple quorum sensing (QS) systems. Despite the relevant role of the pqs QS system in controlling the expression of key virulence factors and biofilm formation in P. aeruginosa, our understanding of the molecular mechanisms governing this QS circuit, which employs 2-alkyl-4-quinolones (AQs) as signal molecules, is still preliminary, probably due to its complexity. more...

Organism:

Pseudomonas aeruginosa; Pseudomonas aeruginosa PAO1

Type:

Expression profiling by array

Platform:

GPL84

10 Samples

Download data: CEL, PDF, TXT

(Submitter supplied) In order to determine the effect of ALA on geneexpression, P. aeruginosa PAO1 was incubated with and without 30 μM ALA under T3SS-inducing conditions (calcium depletion by addition of NTA to growth medium), followed by RNA extraction and microarray analysis.

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

2 Samples

Download data: CEL, CHP

(Submitter supplied) MvaT and MvaU are two redundant xenogeneic silencing proteins of the H-NS family in Pseudomonas aeruginosa. Previous studies to investigate the physiological consequences of mvaT and mvaU depletion were hampered by activation of Pf4 prophage in the resulting mutants. In this study, an mvaT mvaU double knockout mutant (PAO△TU) was constructed in a strain of PAO1 (Δpf4) devoid of the Pf4 prophage on the chromosome.Transcriptome analysis by GeneChip (Affymetrix) revealed that over 227 genes were found up-regulated in PAO△TU, including several multi-gene loci for type III and type VI protein secretion systems, O-antigen, exopolysaccharide, pili assembly, and many others of unknown functions.

Organism:

Pseudomonas aeruginosa PAO1; Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

4 Samples

Download data: CEL, CHP

(Submitter supplied) Pseudomonas aeruginosa frequently resides among ethanol-producing microbes, making its response to these microbially-produced concentrations of ethanol relevant to understanding its biology. Transcriptome analysis found that the genes involved in trehalose metabolism were induced by low concentrations of ethanol, and levels of intracellular trehalose increased significantly upon growth with ethanol. more...

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

4 Samples

Download data: CEL, CHP

(Submitter supplied) In this study, the A-NO2- sensitivity of mucA22 mutant bacteria vs. a genome sequence-confirmed mucA deletion (∆mucA) mutant was determined. The ∆mucA is surprisingly more resistant to A-NO2- than mucA22 bacteria. The genes responsible for the disposal of nitric oxide (NO), a by-product of A-NO2-, were found to be near wild-type levels in the ∆mucA mutant yet were dramatically reduced in the mucA22 mutant.

Organism:

Pseudomonas aeruginosa; Pseudomonas aeruginosa PAO1

Type:

Expression profiling by array

Platform:

GPL84

9 Samples

Download data: CEL, CHP

(Submitter supplied) Analysis of a SigX knockout mutant of Pseudomonas aeruginosa H103 strain in LB.

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

6 Samples

Download data: CEL

(Submitter supplied) Transcriptomic, metabolomic, physiological, and computational modeling approaches were integrated to gain insight into the mechanisms of antibiotic tolerance in an in vitro biofilm system. Pseudomonas aeruginosa biofilms were grown in drip-flow reactors on a medium composed to mimic the exudate from a chronic wound (CWE). After 72 hours, the biofilms were treated with CWE (control biofilms) or CWE containing ciprofloxacin (treated biofilms) for an additional 24 hours. more...

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

9 Samples

Download data: CEL

(Submitter supplied) To verify the imapct of DSF and C23 on P. aeruginosa during infection We used microarray to compare the effects of adding either DSF alone or DSF with C23 on P. aeruginosa gene expression during mouse lung infection relative to the gene expression of P. aeruginosa in the mouse lung with no compound.

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

9 Samples

Download data: CEL

(Submitter supplied) Purpose of study was to investigate whole genome expression changes of a strain with deletion of the two-component system TctD-TctE and determine genes dysregulate relative to the parental wildtype to gain insight into possible regulatory targets of TctD-TctE. TctD-TctE is a two-component system in Pseudomonas aeruginosa that responds to and regulates uptake of tricarboxylic acids such as citric acid. more...

Organism:

Pseudomonas aeruginosa; Pseudomonas aeruginosa UCBPP-PA14

Type:

Expression profiling by array

Platform:

GPL84

8 Samples

Download data: CEL

(Submitter supplied) P. aeruginosa PA14 mutant strain PA4496 expression in biofilm cells relative to PA14 wild-type strain expression in biofilm cells. All samples cultured in LB with glass wool

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

2 Samples

Download data: CEL, CHP

(Submitter supplied) Pseudomonas aeruginosa is a common bacterium in the terminal plumbing system of buildings and it is from this niche that a substantial fraction of infections are acquired. To better understand P. aeruginosa biology in this environment, we examined the transcriptomes in tap water and pond water.

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

9 Samples

Download data: CEL, CHP

(Submitter supplied) P. aeruginosa possesses the ability to utilize a wild range of compounds as the sole source of carbon and nitrogen, including proteogenic amino acids. In particular, utilization of L-Asp and L-Asn is insensitive to carbon catabolite repression as strong growth retains in the cbrAB mutants devoid of the essential regulators for the activation of most catabolic genes. Transcriptome analysis and functional characterization were conducted to identify genes that participate in the catabolism, uptake, and regulation of these two amino acids. more...

Organism:

Pseudomonas aeruginosa; Pseudomonas aeruginosa PAO1

Type:

Expression profiling by array

Platform:

GPL84

6 Samples

Download data: CEL, CHP

(Submitter supplied) The Pseudomonas aeruginosa response regulator AlgR is critical for the organism's virulence and controls up to 155 different genes. In order to determine which genes are controlled by phosphorylated and unphosphorylated AlgR, phosphomimetic and phosphoablative alleles were recombined onto the chromosome of PAO1. The algR gene was mutated at aspartate 54 to asparagine (D54N) for the phosphoablative allele and mutated at aspartete 54 to glutamate (D54E) for the phosphomimetic allele. more...

Organism:

Pseudomonas aeruginosa PAO1; Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

9 Samples

Download data: CEL, CHP

(Submitter supplied) In Pseudomonas aeruginosa, partitioning protein ParB facilitates segregation of newly replicated chromosomes but is not essential for cell survival. Unlike in other bacteria, inactivation of parB leads to major changes of the transcriptome, suggesting that, directly or indirectly, ParB plays a role in regulation of gene expression in this organism. To identify primary targets of ParB, we analysed the impact of a slight increase in ParB amount on the transcriptome using microarrays. more...

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

11 Samples

Download data: CEL

(Submitter supplied) Analysis of Pseudomonas aeruginosa PAO1 treated with 200 µM sphingomyelin. Results provide insight into the response to sphingomyelin in P. aeruginosa.

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

6 Samples

Download data: CEL

(Submitter supplied) We investigated fuel specific transcriptomic differences between these strains in order to ascertain the underlying mechanisms utilized by the adapted strain P. aeruginosa ATCC 33988 to jet fuel to Jet-fuel During growth in fuel, the genes related to alkane degradation, heat-shock response, membrane proteins, efflux pumps and several novel genes were upregulated in ATCC 33988

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

8 Samples

Download data: CEL, CHP

(Submitter supplied) This study examines the mechanisms underlying fumarate- and glyoxylate-mediated changes in tobraymcyin sensitivity in PAO1 cells Grant ID: NIH Grant K99 GM 118907 Grant title: Effects of Host Metabolic Variation on Antibiotic Susceptibility Funding Source: NIH NIGMS Name: Jason Yang

Organism:

Pseudomonas aeruginosa PAO1; Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

12 Samples

Download data: CEL