title: Phenotypic profiling of antibiotic response signatures in Escherichia coli using Raman spectroscopy.
abstract: Identifying the mechanism of action of new potential antibiotics is a necessary but time-consuming and costly process. Phenotypic profiling has been utilized effectively to facilitate the discovery of the mechanism of action and molecular targets of uncharacterized drugs. In this research, Raman spectroscopy was used to profile the phenotypic response of Escherichia coli to applied antibiotics. The use of Raman spectroscopy is advantageous because it is noninvasive, label free, and prone to automation, and its results can be obtained in real time. In this research, E. coli cultures were subjected to three times the MICs of 15 different antibiotics (representing five functional antibiotic classes) with known mechanisms of action for 30 min before being analyzed by Raman spectroscopy (using a 532-nm excitation wavelength). The resulting Raman spectra contained sufficient biochemical information to distinguish between profiles induced by individual antibiotics belonging to the same class. The collected spectral data were used to build a discriminant analysis model that identified the effects of unknown antibiotic compounds on the phenotype of E. coli cultures. Chemometric analysis showed the ability of Raman spectroscopy to predict the functional class of an unknown antibiotic and to identify individual antibiotics that elicit similar phenotypic responses. Results of this research demonstrate the power of Raman spectroscopy as a cellular phenotypic profiling methodology and its potential impact on antibiotic drug development research.
authors.affiliation: Department of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia, USA.
authors.forename: A I M
authors.initials: AI
authors.lastname: Athamneh
authors.forename: R A
authors.initials: RA
authors.lastname: Alajlouni
authors.forename: R S
authors.initials: RS
authors.lastname: Wallace
authors.forename: M N
authors.initials: MN
authors.lastname: Seleem
authors.forename: R S
authors.initials: RS
authors.lastname: Senger
mesh_terms: D000900:Anti-Bacterial Agents / Q000494:pharmacology*; D004926:Escherichia coli / Q000187:drug effects*; D008826:Microbial Sensitivity Tests; D010641:Phenotype; D013059:Spectrum Analysis, Raman
chemical_list: D000900:Anti-Bacterial Agents