Project description:Escherichia coli (E. coli) amine oxidase (ECAO) encoded by tynA gene has been one of the model enzymes to study the mechanism of oxidative deamination of amines to the corresponding aldehydes by amine oxidases. The biological roles of ECAO have been less addressed. Therefore we have constructed a gene deletion Escherichia coli K-12 strain, E. coli tynA-, and used the microarray technique to address its function by comparing the total RNA gene expression to the one of the wt. Our results suggest that tynA is a reserve gene for stringent environmental conditions and its gene product ECAO a growth advantage compared to other bacteria due to H2O2 production.
Project description:The purpose of this study is to determine whether the presence of pathogenic Escherichia coli in colon is associated with psychiatric disorders.
Project description:Despite the characterization of many aetiologic genetic changes. The specific causative factors in the development of sporadic colorectal cancer remain unclear. This study was performed to detect the possible role of Enteropathogenic Escherichia coli (EPEC) in developing colorectal carcinoma.
Project description:Transcripitonal profiling of Escherichia coli K-12 W3110 comparing cells with and without hydrogen peroxide treatment, two biological replicates each
Project description:Analysis of gene expression of mid log phase cultures of Escherichia coli Ancestor strain, and high temperature evolved lines 42-1, 42-2 and 42-3. Keywords: other
Project description:When the survivors of antibiotic treatment (persisters) are repeatedly regrown and retreated with the same antibiotic for several cycles, the new population will soon adapt to the treatment condition and become tolerant to the drug. Here, we did evolution experiments on Escherichia coli populations by treating it with daily high concentration of different antibiotics (ampicillin, ciprofloxacin and apramycin) approximating clinical dosage, during the rapid growth-exponential phase. After a few cycles, we observed that the evolved populations exhibit extremely high tolerance to the drug, which are achieved by single point mutations in one of several genes. Interestingly, treatment with different antibiotics led to the selection of different mutants despite the shared persistence phenotype. Here, we applied spectral counting-based quantitative proteomics to study the proteome profile of the evolved E. coli populations from different cyclic antibiotic treatments.
