Transcriptome Profiling of Antimicrobial Resistance in Pseudomonas aeruginosa.

ABSTRACT: Emerging resistance to antimicrobials and the lack of new antibiotic drug candidates underscore the need for optimization of current diagnostics and therapies to diminish the evolution and spread of multidrug resistance. As the antibiotic resistance status of a bacterial pathogen is defined by its genome, resistance profiling by applying next-generation sequencing (NGS) technologies may in the future accomplish pathogen identification, prompt initiation of targeted individualized treatment, and the implementation of optimized infection control measures. In this study, qualitative RNA sequencing was used to identify key genetic determinants of antibiotic resistance in 135 clinical Pseudomonas aeruginosa isolates from diverse geographic and infection site origins. By applying transcriptome-w

SUBMITTER: Khaledi A 

PROVIDER: S-EPMC4958182 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature