ArticleAntimicrobial agents and chemotherapy2014
Phenotypic profiling of antibiotic response signatures in Escherichia coli using Raman spectroscopy.
Article in Antimicrobial agents and chemotherapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed, 106 citations in OpenAlex.
- Stringent Response Regulates the Persister Formation and Virulence ofMicroorganisms · 2026Article
- HoloMoA: a holography and deep learning tool for the identification of antimicrobial mechanisms of action and the detection of novel MoA.Frontiers in microbiology · 2025Article
- Unlocking the mechanism of action: a cost-effective flow cytometry approach for accelerating antimicrobial drug development.Microbiology spectrum · 2024Article
- Nanogap traps for passive bacteria concentration and single-point confocal Raman spectroscopy.Biomicrofluidics · 2023Article
- Rapid discrimination ofFrontiers in microbiology · 2023Article
- Opportunities in optical and electrical single-cell technologies to study microbial ecosystems.Frontiers in microbiology · 2023Review
- Adaptive laboratory evolution ofFrontiers in microbiology · 2023Article
- Development and Automation of a Bacterial Biosensor to the Targeting of the Pollutants Toxic Effects by Portable Raman Spectrometer.Sensors (Basel, Switzerland) · 2022Article
- Discrimination of Stressed and Non-Stressed Food-Related Bacteria Using Raman-Microspectroscopy.Foods (Basel, Switzerland) · 2022Article
- Raman Spectroscopy-A Novel Method for Identification and Characterization of Microbes on a Single-Cell Level in Clinical Settings.Frontiers in cellular and infection microbiology · 2022Review
- Phenotypic convergence of bacterial adaption to sub-lethal antibiotic treatment.Frontiers in cellular and infection microbiology · 2022Article
- Rapid label-free detection of cholangiocarcinoma from human serum using Raman spectroscopy.PloS one · 2022Article
- Single-cell Raman spectroscopy identifiesFrontiers in microbiology · 2022Article
- Alterations in the molecular composition of COVID-19 patient urine, detected using Raman spectroscopic/computational analysis.PloS one · 2022Article
- Fast Antibiotic Susceptibility Testing via Raman Microspectrometry on Single Bacteria: An MRSA Case Study.ACS omega · 2021Article
- Campylobacter jejuni Antimicrobial Resistance Profiles and Mechanisms Determined Using a Raman Spectroscopy-Based Metabolomic Approach.Applied and environmental microbiology · 2021Article
- Technologies for High-Throughput Identification of Antibiotic Mechanism of Action.Antibiotics (Basel, Switzerland) · 2021Review
- Microbial phenomics linking the phenotype to fonction: The potential of Raman spectroscopy.Journal of microbiology (Seoul, Korea) · 2021Review
- Biogenic Silver Nanoparticles as a Strategy in the Fight Against Multi-ResistantFrontiers in bioengineering and biotechnology · 2021Article
- Fingerprinting Bacterial Metabolic Response to Erythromycin by Raman-Integrated Mid-Infrared Photothermal Microscopy.Analytical chemistry · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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