ArticleJournal of clinical microbiology2010
Evaluation of Escherichia coli cell response to antibiotic treatment by use of Raman spectroscopy with laser tweezers.
Article in Journal of clinical microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Antibiotic Susceptibility Testing with Raman Biosensing.Antibiotics (Basel, Switzerland) · 2022Review
- Discriminating cell line specific features of antibiotic-resistant strains of Escherichia coli from Raman spectra via machine learning analysis.Journal of biophotonics · 2022Article
- Development and Automation of a Bacterial Biosensor to the Targeting of the Pollutants Toxic Effects by Portable Raman Spectrometer.Sensors (Basel, Switzerland) · 2022Article
- Raman-Deuterium Isotope Probing and Metagenomics Reveal the Drought Tolerance of the Soil Microbiome and Its Promotion of Plant Growth.mSystems · 2022Article
- Role of Brownian Particle Velocity in Bioelectronic Emissions of DNA.Bioelectricity · 2020Article
- In vitro antimicrobial susceptibility testing methods: agar dilution to 3D tissue-engineered models.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018Review
- Raman spectral signature reflects transcriptomic features of antibiotic resistance inCommunications biology · 2018Article
- Antimicrobial susceptibility testing of Gram-positive and -negative bacterial isolates directly from spiked blood culture media with Raman spectroscopy.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017Article
- Phenotypic profiling of antibiotic response signatures in Escherichia coli using Raman spectroscopy.Antimicrobial agents and chemotherapy · 2014Article
- The thuEFGKAB operon of rhizobia and agrobacterium tumefaciens codes for transport of trehalose, maltitol, and isomers of sucrose and their assimilation through the formation of their 3-keto derivatives.Journal of bacteriology · 2013Article
- Antimicrobial effect of diallyl sulphide on Campylobacter jejuni biofilms.The Journal of antimicrobial chemotherapy · 2012Article
- Fast characterisation of cell-derived extracellular vesicles by nanoparticles tracking analysis, cryo-electron microscopy, and Raman tweezers microspectroscopy.Journal of extracellular vesicles · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Laser tweezers Raman spectroscopy was used to detect the cellular response of Escherichia coli cells to penicillin G-streptomycin and cefazolin. Time-dependent intensity changes of several Raman peaks at 729, 1,245, and 1,660 cm(-1) enabled untreated cells and cells treated with the different antibiotic drugs to be distinguished.
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Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.