Project description:Analysis of Pseudomonas aeruginosa PAO1 treated with 200 µM sphingomyelin. Results provide insight into the response to sphingomyelin in P. aeruginosa.
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare transcriptome profiling of control of P. aeruginosa PAO1 (RNA-seq) to transcriptome profiling of farnesol-treated P. aeruginosa PAO1 and to evaluate protocols for optimal high-throughput data analysis. Methods:LB medium (50 mL) was inoculated with exponential growth phase P. aeruginosa PAO1 at a concentration of 108 CFU/mL. Farnesol was then added at a concentration of either 0 (control) or 0.56 mg/mL, in triplicate. All six experiment groups were incubated in a water bath shaker at 37 ºC with a shaking rate of 180 rpm for 5 h. Cells were then sampled and centrifuged from the three control groups and three farnesol treatment groups, respectively. The cell precipitates were separately snap-frozen at -80ºC. Total RNA was isolated from cells using Trizol (Life Technologies, USA) according to the manufacturer’s protocol. Results: Our RNA-seq results showed that less than 100 genes of P. aeruginosa PAO1 were differentially expressed following farnesol treatment. We found that about 1.7% of all detected genes (96 of 5554 genes) were more than two-fold differentially expressed following farnesol treatment. Conclusions:
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare transcriptome profiling of control of P. aeruginosa PAO1 (RNA-seq) to transcriptome profiling of DAS-treated and DAE-treated P. aeruginosa PAO1 and to evaluate protocols for optimal high-throughput data analysis. Results: The transcriptome sequencing data of control, DAS-treated and DAE-treated groups were compared and analyzed in the form of the following: DAE vs DAS, control vs DAS, and control vs DAE. The details of the differentially expressed genes among the three groups showed that the amount of differential expressed genes between DAE-treated group and DAS-treated group was high (total 2195, up-regulated 1608, down-regulated 587). There were many differentially expressed genes in the PAO1 strain after DAS treatment (total 2771, up-regulated 1905, down-regulated 866), while the amount of differentially expressed genes after DAE treatment was relatively small (total 770, up-regulated 349, down-regulated 421).
Project description:Pseudomonas aeruginosa PAO1 persister and normal cells were treated with and without Granulocyte Macrophage Colony-Stimulating Factor (GM-CSF) to understand the effect of GM-CSF on gene expression of PAO1. We used DNA microarrays to identify the down-regulated and up-regulated genes after GM-CSF treatment.
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare transcriptome profiling of control of P. aeruginosa PAO1 (RNA-seq) to transcriptome profiling of diallyl disulphide-treated P. aeruginosa PAO1 and to evaluate protocols for optimal high-throughput data analysis. Methods: Every 50 mL LB medium was inoculated exponential growth phase of P. aeruginosa PAO1, with the bacterial concentration of 108 CFU/mL. Then DDS was added, with its concentrations were 0 (as control, three biological repeats numbered A1, A2, and A3) and 0.64 mg/mL (three biological repeats numbered B1, B2, and B3) separately, both with a triplicate. All the six experiment groups were incubated in a water bath shaker at 37 ºC with a shaking rate at 150 rpm for 5 hours. The cells were then sampled and centrifuged from the three control groups and three DDS treatment groups, respectively. The cell precipitates in the control and DDS-treated groups were quickly separately frozen at -80 ºC. Total RNA was isolated from cells using Trizol (Life Technologies, USA) according to the manufacturer’s protocol. Results: The RNA sequencing results revealed that a large number of genes in P. aeruginosa PAO1 were differentially expressed after DDS treatment. More than three thousands of genes were differentially expressed, with either up regulated (1649 genes) or down regulated (1725 genes) more than two-fold. Conclusions:
Project description:Pseudomonas aeruginosa PAO1 contacted with and without poplar roots gene expression Poplar contacted with and without PAO1 gene expression. All samples cultured in 1 x hrp + 0.25 % sucrose Keywords: Contact with different species
Project description:The ParS/ParR two component regulatory system plays important roles for multidrug resistance in Pseudomonas aeruginosa. In this study we report RNA-seq analyses of the transcriptomes of P. aeruginosa PAO1 wild type and par mutants growing in a minimal medium containing 2% casamino acids. This has allowed the quantification of PAO1 transcriptome, and further defines the regulon that is dependent on the ParS/ParR system for expression. Our RNA-seq analysis produced the first estimates of absolute transcript abundance for the 5570 coding genes in P. aeruginosa PAO1. Comparative transcriptomics of P. aeruginosa PAO1 and par mutants identified a total of 464 genes regulated by ParS and ParR. Results also showed that mutations in the parS/parR system abolished the expression of the mexEF-oprN operon by down-regulating the regulatory gene mexS. In addition to affecting drug resistance genes, transcripts of quorum sensing genes (rhlIR and pqsABCDE-phnAB), were significantly up-regulated in both parS and parR mutants. Consistent with these results, a significant portion of the ParS/ParR regulated genes belonged to the MexEF-OprN and quorum sensing regulons. Deletion of par genes also lead to overproduction of phenazines and increased swarming motility, consistent with the up-regulation of quorum sensing genes. Our results established a link among ParS/ParR, MexEF-OprN and quorum sensing in Pseudomonas aeruginosa. Based on these results, we propose a model to illustrate the relationship among these regulatory systems in P. aeruginosa.