Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of genes induced in P. aeruginosa biofilms by microarray analysis

ABSTRACT: Transcriptome analysis was applied to characterize the physiological activities of Psuedomonas aeruginosa cells grown for three days in drip flow biofilm reactors when compared to the activities of P. aeruginosa grown planktonically to exponential phase in the same media. Here, rather than examining the effect of an individual gene on biofilm antibiotic tolerance, we used a transcriptomics approach to identify regulons and groups of related genes that are induced during biofilm growth of Pseudomonas aeruginosa. We then tested for statistically significant overlap between the biofilm-induced genes and independently compiled gene lists corresponding to stress responses and other putative antibiotic protective mechanisms. This data was evaluated and used to select strains that carry transposon mutations in genes that might play a role in antibiotic tolerance of biofilms. The strains were evaluated for defects in biofilm tolerance.

ORGANISM(S): Pseudomonas aeruginosa

PROVIDER: GSE65869 | GEO | 2015/05/11

SECONDARY ACCESSION(S): PRJNA275290

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Shared Molecules

Only show the datasets with similarity scores above: 0.5

Threshold

0.5

Similar Datasets

Identification of genes induced in P. aeruginosa biofilms by microarray analysis

Project description:Transcriptome analysis was applied to characterize the physiological activities of Psuedomonas aeruginosa cells grown for three days in drip flow biofilm reactors when compared to the activities of P. aeruginosa grown planktonically to exponential phase in the same media. Here, rather than examining the effect of an individual gene on biofilm antibiotic tolerance, we used a transcriptomics approach to identify regulons and groups of related genes that are induced during biofilm growth of Pseudomonas aeruginosa. We then tested for statistically significant overlap between the biofilm-induced genes and independently compiled gene lists corresponding to stress responses and other putative antibiotic protective mechanisms. This data was evaluated and used to select strains that carry transposon mutations in genes that might play a role in antibiotic tolerance of biofilms. The strains were evaluated for defects in biofilm tolerance. One planktonic condition with four biological replicates; One drip flow biofilm condition grown for 72 hours with three biological replicates; One drip flow biofilm condition grown for 84 hours with three biological replicates.

2015-05-11 | E-GEOD-65869 | biostudies-arrayexpress

Identification of genes involved with P. aeruginosa biofilm antibiotic resistance by microarray analysis

2015-05-11 | GSE65870 | GEO

Identification of genes involved with P. aeruginosa biofilm antibiotic resistance by microarray analysis

Project description:Microarray analysis was used to identify changes in the level of transcription of genes in P. aeruginosa drip flow biofilms in response to ciprofloxacin and tobramycin exposure. This data was evaluated and used to select strains that carry transposon mutations in genes that might play a role in antibiotic tolerance of biofilms. The strains were evaluated for defects in biofilm tolerance. Four drip flow biofilm conditions with three replicates each: (1) baseline controls at 72 hours, (2) tobramycin treated for 12 hours past baseline, (3) ciprofloxacin treated for 12 hrs past baseline, and (4) no treatment for 12 hrs past baseline.

2015-05-11 | E-GEOD-65870 | biostudies-arrayexpress

Physiology of Pseudomonas aeruginosa in Biofilms Revealed by Comparative Transcriptomic Analysis.

Project description:Abstract: Transcriptome analysis was applied to characterize the physiological activities of Pseudomonas aeruginosa grown for three days in drip-flow biofilm reactors. Conventional applications of transcriptional profiling often compare two paired data sets that differ in a single experimentally controlled variable. In contrast this study obtained the transcriptome of a single biofilm state, ranked transcript signals to make the priorities of the population manifest, and compared rankings for a priori identified physiological marker genes between the biofilm and published data sets.

2010-11-20 | GSE22164 | GEO

Fitness Landscape of Antibiotic Tolerance in Pseudomonas aeruginosa Biofilms

Project description:Bacteria in biofilms have higher antibiotic tolerance than their planktonic counterparts. A major outstanding question is the degree to which the biofilm-specific cellular state and its constituent genetic determinants contribute to this hyper-tolerant phenotype. Here, using genome-wide functional profiling of a complex, heterogeneous mutant population of Pseudomonas aeruginosa MPAO1, we identified large sets of mutations that contribute to antibiotic tolerance predominantly in the biofilm or planktonic setting only. Our mixed population-based experimental design recapitulated the complexity of natural biofilms and, unlike previous studies, revealed clinically observed behaviors including the emergence of quorum sensing-deficient mutants. Our study revealed a substantial contribution of the cellular state to the antibiotic tolerance of biofilms, providing a rational foundation for the development of novel therapeutics against P. aeruginosa biofilm-associated infections. This dataset compares the expression of SAH108, a strain with enhanced antibiotic tolerance in the biofilm state, to expression in wild-type strains. We compared the expression of two biological replicates from strain SAH108 to samples from three wild-type, reference strains. All samples were collected from exponentially-growing planktonic cultures.

2011-11-21 | E-GEOD-26142 | biostudies-arrayexpress

Fitness Landscape of Antibiotic Tolerance in Pseudomonas aeruginosa Biofilms

2011-11-21 | GSE26142 | GEO

Expression profiling of Pseudomonas aeruginosa in chronic wound exudate media

Project description: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. Planktonic samples were cultivated to early logarithmic phase in CWE. The biofilm specific growth rate was estimated via elemental balances to be approximately 0.37 h-1, or one-third of the planktonic maximum specific growth rate. Global analysis of gene expression indicated decreased anabolic activity in biofilms compared to planktonic cells. A focused transcriptomic analysis revealed the induction of multiple stress responses in biofilm cells, including those associated with growth arrest, zinc limitation, hypoxia, and acyl-homoserine lactone quorum sensing.

2018-10-03 | GSE120760 | GEO

Physiology of Pseudomonas aeruginosa in Biofilms Revealed by Comparative Transcriptomic Analysis.

2010-11-20 | E-GEOD-22164 | biostudies-arrayexpress

Gene expression in AES-2 clonal isolates of Pseudomonas aeruginosa

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

Gene expression in PAO1, clonal AES-1 and non-clonal isolates of Pseudomonas aeruginosa

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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data