Mycobacterium tuberculosis (Mtb) is the causative agent of Tuberculosis (TB), a life-threatening disease primarily affecting the lungs that infects about one third of the world's population and causes 1.3 million deaths annually. It is estimated that TB has been infecting humans for around 70,000 years and has killed more people than any other infectious disease. The highly effective, persistent, and multifaceted virulence strategies that have allowed Mtb to continue to spread and thrive for so long are still poorly understood at the molecular level. This lack of knowledge contributes to ongoing challenges to curing TB. Although drugs capable of killing Mtb exist, even strains that are susceptible to these drugs remain so difficult to treat that stringent six- to nine-month courses of four-drug cocktails are required. Practical difficulties in administering full treatments and patient noncompliance have contributed to a rise in drug-resistant TB cases globally. To combat this increasing world health problem, new antibiotic treatments that kill Mtb and drug-resistant Mtb more effectively via new mechanisms of action are necessary. Discovering these antibiotics expediently requires that innovative Mtb-specific drug-screening assays are developed. An ideal and innovative TB drug screening method would target validated protein-protein interactions (PPI) essential to Mtb's pathogenesis and would be performed on whole Mtb cells under relevant in vivo-like conditions. This project focused on engineering several tools relevant to creating an ideal TB drug screen. A protein fragment complementation assay capable of studying PPI of the TB gyrase complex was created, and this assay was assessed for future HTS applications. To streamline the readout, this assay was re-engineered to include green fluorescent protein.
Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:honorstheses1990-2015-1603 |
Date | 01 January 2015 |
Creators | Wilburn, Kaley |
Publisher | STARS |
Source Sets | University of Central Florida |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | HIM 1990-2015 |
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