PAO1 gene expression at 22M-BM-0C and 37M-BM-0C in Lysogeny broth
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ABSTRACT:
ORGANISM(S): Pseudomonas aeruginosa PAO1
SUBMITTER: Mariette Barbier
PROVIDER: E-GEOD-51409 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Pseudomonas aeruginosa strain PAO1 was grown at 22°C and 37°C in Lysogeny broth (LB) and RNA was hybridized on the Affymetrix P. aeruginosa chip.
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Project description:P. aeruginosa is known to cause acute cytotoxicity against various human and animal cells and tissues. We identified bacterial metabolite - phenylacetic acid (PAA) which acts as an inhibitory molecule counteracting its pathogenic infection. Microarray and genetic analyses were conducted to investigate the inhibitory mechanism of the identified inhibitor PAA on bacterial virulence. Microarray analysis revealed that treatment of P. aeruginosa with PAA down-regulated the transcriptional expression of type 3 secretion systems (T3SS) genes and related regulatory genes including rsmA and vfr, which were confirmed by transcriptional and translational analysis. Our findings present a new insight to the puzzle of high-cell-density-modulated virulence attenuation in P. aeruginosa and the regulatory mechanisms of T3SS which is associated with bacterial acute infection. Overnight PAO1 culture were diluted 1:200 to fresh LB medium supplemented with nitriloacetic acid (NTA) with or without addition of 1 mM of phenylacetic acid (PAA). The growth was continued with shaking at 37M-BM-0C for 4 h to allow OD600 reaching about 1.5 and the cells were used for RNA extraction and hybridization on Affymetrix microarrays.
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Project description:The transcriptome of P. aeruginosa PAO1 in the presence of extracelluar 2-oxoglutarate at a concentration of 20 mM. We determined the transcriptional response of P. aeruignosa PAO1 to extracellular 2-oxoglutarate. P. aeruginosa PAO1 was grown in nutrient broth (Oxoid number 2) and induced with 20 mM 2-oxoglutarate. At 30 min post induction, total RNA was isolated and prepped for Affymetrix GeneChips.
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2014-05-23 | E-GEOD-51193 | biostudies-arrayexpress
Project description:Biofilms are ubiquitous in natural, medical, and engineering environments. While most antibiotics that primarily aim to inhibit cell growth may result in bacterial drug resistance, biofilm inhibitors do not affect cell growth and there is less chance of developing resistance. This work sought to identify novel, non-toxic and potent biofilm inhibitors from Streptomyces bacteria for reducing the biofilm formation of Pseudomonas aeruginosa PAO1. Out of 4300 Streptomyces strains, one species produced and secreted peptide(s) to inhibit P. aeruginosa biofilm formation by 93% without affecting the growth of planktonic cells. Global transcriptome analyses (DNA microarray) revealed that the supernatant of the Streptomyces 230 strain induced phenazine, pyoverdine, and pyochelin synthesis genes. Electron microscopy showed that the supernatant of Streptomyces 230 strain reduced the production of polymeric matrix in P. aeruginosa biofilm cells, while the Streptomyces species enhanced swarming motility of P. aeruginosa. Therefore, current study suggests that Streptomyces bacteria are an important resource of biofilm inhibitors as well as antibiotics. For the microarray experiments, P. aeruginosa were inoculated in 25 0ml of LB medium in 1000 ml shake flasks with overnight cultures that were diluted 1:100. Streptomyces 230 strain culture media was added in at 1% . Cells were cultured with 10g of glass wool in LB at 37M-BM-0C with 100 rpm shaking for 7 hrs. Cells were immediately chilled with dry ice and 95% ethanol (to prevent RNA degradation) for 30 sec before centrifugation in 50 ml centrifuge tubes at 13,000 g for 2 min; cell pellets were frozen immediately with dry ice and stored -80M-BM-0C. RNA was isolated using Qiagen RNeasy mini Kit (Valencia, CA, USA). RNA quality was assessed by Agilent 2100 bioanalyser using the RNA 6000 Nano Chip (Agilent Technologies, Amstelveen, The Netherlands), and quantity was determined by ND-1000 Spectrophotometer (NanoDrop Technologies, Inc., DE, USA).
2013-03-21 | E-GEOD-28194 | biostudies-arrayexpress
Project description:Quorum-sensing (QS) is a cell-cell communication system that controls gene expression in many bacterial species, mediated by diffusible signal molecules. While the intracellular regulatory mechanisms of QS are often well-understood, the functional roles of QS remain controversial. In particular, the use of multiple signals by many bacterial species poses a serious challenge to current functional theories. Here we address this challenge by showing that bacteria can use multiple QS signals to infer both their social (density) and physical (mass-transfer) environment. Analytical and evolutionary simulation models show that the detection of and response to complex social/physical contrasts requires multiple signals with distinct half-lives and combinatorial (non-additive) responses to signal concentrations. We test these predictions using the opportunistic pathogen Pseudomonas aeruginosa, and demonstrate significant differences in signal decay between its two primary signal molecules as well as diverse combinatorial responses to dual signal inputs. QS is associated with the control of secreted factors, and we show that secretome genes are preferentially controlled by synergistic M-bM-^@M-^XAND-gateM-bM-^@M-^Y responses to multiple signal inputs, ensuring the effective expression of secreted factors in high density and low mass-transfer environments. Our results support a novel functional hypothesis for the use of multiple signals and, more generally, show that bacteria are capable of combinatorial communication. The two primary signal molecules of P. aeruginosa are the homoserine lactones N-(3-oxododecanoyl)-L-homoserine lactone (3-oxo-C12-HSL) and N-butyryl-homoserine lactone (C4-HSL). Effects of the different signal molecules was assessed using a double QS synthase mutant of Pseudomonas aeruginosa PAO1 lasI/rhlI grown at 37M-BM-0C in 25 ml LB broth and 250 ml flasks with shaking at 200 r.p.m. in four treatments, each with a replicate: (a) no addition; (b) 3-oxo- C12-HSL; (c) C4-HSL; and (d) both 3-oxo-C12-HSL and C4-HSL.
2014-03-04 | E-GEOD-55110 | biostudies-arrayexpress
Project description:Virulence factor production and the development of biofilms in Pseudomonas aeruginosa have been shown to be regulated by two hierarchically organised quorum sensing (QS) systems via small acyl-homoserine lactone (AHL) signal molecules. Recently, a third bacterial signal molecule, the Pseudomonas quinolone signal (PQS), has been identified, which positively regulates a subset of genes dependent on the QS systems. To further dissect the various independent regulation levels for many QS induced genes and to evaluate the impact of PQS on the QS circuitry, we performed a transcriptome analysis of PAO1 cultures supplemented with PQS. The global transcriptional profile in response to PQS revealed a marked up-regulation of genes belonging to the tightly interdependent functional groups of iron acquisition and oxidative stress response. Remarkably, not only most of the differentially regulated genes but also the induction of a lacZ transcriptional fusion of rhlR could be traced back to a iron chelating effect of PQS. Nevertheless, although iron deficiency per se induced rhlR, there seems to be PQS specific effects that are independent of the PQS effect on P. aeruginosa iron homeostasis Experiment Overall Design: For RNA extraction bacteria were harvested at early logarithmic, late logarithmic and stationary phase of growth. Three independent cultures of PQS-treated and untreated PAO1 each were pooled and the RNA was immediately stabilized with RNAprotect Bacteria Reagent (Qiagen, Valencia, CA). RNA was isolated using the RNeasy kit (Qiagen), treated with DNaseI (Roche) for 30 min at 37M-BM-0C and re-purified with the RNeasy spin column. The subsequent steps of cDNA generation and Biotin-ddUTP terminal labelling were performed as described in the manufacturerM-bM-^@M-^Ys instructions for the P. aeruginosa GeneChipM-CM-^R. Fragmented and labelled cDNA was hybridised to a GeneChip at 50 M-BM-0C for 16 h. The washing steps, staining and scanning of the microarrays were performed using the Affymetrix GeneChip system. Data analysis was performed using the Affymetrix Microarray Suite Software 5.0 with Affymetrix default parameters. As expression analysis was performed in duplicate, a total of two GeneChips per culture condition was scanned at 570 nm, 3 M-BM-5m resolution in an Affymetrix GeneChip scanner. The signals were multiplied by a scaling factor to make the average signal for all the arrays equivalent. The data were imported into a Microsoft Access database capable of searching for genes, which were found in all four pairings defined by the Affymetrix Microarray Suite Software as having significant changes in their signal intensities. Data were combined with the latest annotation from the website of the P. aeruginosa PAO1 sequence and the community annotation project provided at www.pseudomonas.com.
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