Project description:Pseudomonas aeruginosa is one of the most frequent pathogen dominant in complicated urinary tract infections (UTI). To unravel the adaptation strategies of P. aeruginosa to the conditions in the urinary tract and to define the underlying regulatory network an artificial growth system mimicking the conditions in the urinary tract was established. Transcriptome analyses were used to investigate the physiological status of P. aeruginosa under this conditions.
Project description:Urinary tract infections (UTIs) are the second most common infections encountered in the pediatric population, second only to respiratory tract infections. UTIs are also a major cause of morbidity and mortality. UTIs can often ascend causing infection in the upper urinary tract or even progress to bacteremia or urosepsis. Urosepsis accounts for 10-30% of septic shock cases and Uropathogenic E.coli (UPEC) is responsible for almost 75% of cases. Therefore, increased understanding of the effects of urosepsis at the cellular and organ specific level will provide the foundation for improvements in clinical care.
Project description:E. coli which cause urinary tract infections must respond to high osmolarity in the urinary tract as well as the presence of urea. We used microarrays to measure the differntial gene expression of uropathogenic strain CFT073 in conditions of high osmolarity of urea v. minimal media
Project description:E. coli which cause urinary tract infections must respond to high osmolarity in the urinary tract as well as the presence of urea. We used microarrays to measure the differntial gene expression of uropathogenic strain CFT073 in conditions of high osmolarity of urea v. minimal media RNA was extracted from CFT073 in each growth condition and hybridized to an Affymetrix microarray. The differentially expressed genes were analyzed by expression pattern and function.