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Identification of antimicrobial targets using a comprehensive genomic approach
Dezhong Yin1, Brian Fox, Michael L Lonetto
1Department of Microbiology, GlaxoSmithKline Pharmaceuticals Research and Development, Collegeville, PA 19462, USA.
Pharmacogenomics
|December 20, 2003
Summary
Regulated antisense RNA technology was enhanced to screen for novel antimicrobial drug targets. This method identified specific gene targets, isoleucine tRNA synthetase and enoyl-[acyl-carrier-protein] reductase, for existing antibiotics.
Area of Science:
- Molecular Biology
- Antimicrobial Drug Discovery
- Genetics
Background:
- Regulated antisense RNA technology allows for conditional control of gene expression, enabling the creation of growth-defective/lethal strains.
- Identifying novel antimicrobial drug targets is crucial for combating antibiotic resistance.
Purpose of the Study:
- To expand regulated antisense RNA interference technology for high-throughput screening of potential antimicrobial drug targets.
- To validate the identification of specific gene targets for existing antibiotics.
Main Methods:
- Construction of a specific antisense RNA sublibrary targeting essential open reading frames.
- Treatment of pooled antisense strains with sublethal levels of mupirocin, triclosan, and gentamicin.
- Selective detection of sensitized strains using DNA subtractive hybridization, microarray, and whole-cell analyses.
Main Results:
- No strains showed supersensitivity to gentamicin, as no target-specific antisense strain was included for this antibiotic.
- Antisense strains targeting isoleucine tRNA synthetase (ileS) and enoyl-[acyl-carrier-protein] reductase (fabI) were identified.
- The ileS and fabI antisense strains exhibited increased susceptibility specifically to mupirocin and triclosan, respectively.
Conclusions:
- Regulated antisense RNA expression libraries provide an effective tool for identifying potential targets of novel antibacterial agents.
- The study successfully demonstrated the utility of this screening strategy in validating known drug-target interactions.