Project description:To further determine the origin of the increased virulence of Pseudomonas aeruginosa PA14 compared to Pseudomonas aeruginosa PAO1, we report a transcriptomic approach through RNA sequencing. Next-generation sequencing (NGS) has revolutioned sistems-based analsis of transcriptomic pathways. The goals of this study are to compare the transcriptomic profile of all 5263 orthologous genes of these nearly two strains of Pseudomonas aeruginosa.
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:Pseudomonas aeruginosa is a major cause of infection in hospitalised patients, with a large genome which makes it highly versatile and resistant to most antimicrobial agents. Ceftazidime-avibactam (CZA) offers an alternative treatment, but resistance is quickly evolving. There is limited knowledge on the exact resistance mechanisms to this drug, or on cross-resistance to meropenem (MEM). This laboratory experiment aimed to decipher these mechanisms in order to provide guidance for the best treatment choice in meropenem pre-treated P. aeruginosa infections. Six clinical isolates of P. aeruginosa were subjected to multistep resistance selection in sub inhibitory concentrations of CZA and MEM. MICs were also determined in the presence of the efflux pump inhibitor phenyl-Arginine-β-Naphthylamide (PAβN). Molecular analyses were performed by whole genome sequencing, whole -gene- and -protein expression profiles. CRISPR/Cas9 genome editing was performed using a two-plasmid method for selected mutations
Project description:We report RNA sequencing data for mRNA transcripts obtained from tobramycin exposed phoenix colonies, VBNCs, and various controls (untreated lawn, edge of the zone of clearance of tobramycin, treated outer background lawn). Extracted mRNA was sequenced using an Illumina HiSeq 4000, mapped to a Pseudomonas aeruginosa PAO1 reference genome, and processed to obtain counts for all gene transcripts for each sample. This is the first sequencing data generated for Pseudomonas aeruginosa phoenix colonies and VBNCs.
