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EXPLOITING COLD SENSITIVITY IN ESCHERICHIA COLI TO IDENTIFY NOVEL ANTIBACTERIAL MOLECULES / BACTERIAL COLD STRESS AND ANTIBIOTIC DISCOVERY

The widespread emergence of antibiotic resistance determinants for nearly all drug classes threatens human health on a global scale. It is therefore essential to discover antibiotics with novel functions that are less likely to be influenced by pre-existing resistance mechanisms. An emerging approach to identify inhibitors of investigator-defined cellular processes involves screening compounds for antimicrobial activity under non-standard growth conditions. Indeed, by growing cells under conditions of stress, inhibitors of specific cellular targets can be enriched, thereby allowing for the identification of molecules with predictable activities in the complex environment of the cell. Here, I exploit cold stress in Escherichia coli to identify molecules targeting ribosome biogenesis and outer membrane biosynthesis. First, through a screen of 30,000 small molecules for growth inhibition exclusively at 15°C, I was able to identify the first small molecule inhibitor of bacterial ribosome biogenesis, lamotrigine. Second, by leveraging the idiosyncratic cold sensitivity of E. coli to vancomycin, I developed a novel screening technology designed to enrich for non-lethal inhibitors of Gram- negative outer membrane biosynthesis. From this platform, I identified pentamidine as an efficient outer membrane perturbant that was able to potentiate Gram-positive antibiotics against Gram-negative pathogens, similar to the polymyxins. Remarkably, however, this compound was able to overcome mcr-1 mediated polymyxin resistance. Together, this thesis highlights the utility of exploiting the bacterial cold stress response in antibiotic discovery. / Thesis / Doctor of Philosophy (PhD)

Identiferoai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/20502
Date January 2016
CreatorsStokes, Jonathan Michael
ContributorsBrown, Eric David, Biochemistry and Biomedical Sciences
Source SetsMcMaster University
Languageen_US
Detected LanguageEnglish
TypeThesis

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