ArticleCommunications biology2018
Raman spectral signature reflects transcriptomic features of antibiotic resistance in
Article in Communications biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
What it found
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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
48 citing papers in PubMed, 100 citations in OpenAlex.
- Evaluating Limits of Machine Learning-Assisted Raman Spectroscopy in Classification of Biological Samples.ACS omega · 2026Article
- Stringent Response Regulates the Persister Formation and Virulence ofMicroorganisms · 2026Article
- Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns.eLife · 2026Article
- Label-Free Differentiation of Antimicrobial Resistance Groups Using Raman Spectroscopy.Analytical chemistry · 2026Article
- Evaluating Limits of Machine Learning-Assisted Raman Spectroscopy in Classification of Biological Samples.bioRxiv : the preprint server for biology · 2026Article
- Recent advances in Raman probes for multiplexed bioimaging.Inflammation and regeneration · 2025Review
- Single-cell Raman and mass spectrometry analysis to probe cellular heterogeneity in tamoxifen uptake and metabolism.Analytical and bioanalytical chemistry · 2025Article
- Article
- Live-cell omics with Raman spectroscopy.Microscopy (Oxford, England) · 2025Review
- A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization ofMicroorganisms · 2025Article
- Analytical techniques and molecular platforms for detection and surveillance of antimicrobial resistance: advancements of the past decade.3 Biotech · 2025Review
- Leveraging the microbiome to combat antibiotic resistant gynecological infections.npj antimicrobials and resistance · 2025Review
- Broadband coherent anti-Stokes Raman scattering (BCARS) microscopy for rapid, label-free biological imaging.The Review of scientific instruments · 2025Article
- Comparison of Raman spectroscopy with mass spectrometry for sequence typing ofMicrobiology spectrum · 2025Article
- Unveiling the Molecular Secrets: A Comprehensive Review of Raman Spectroscopy in Biological Research.ACS omega · 2024Review
- Lighting the Path: Raman Spectroscopy's Journey Through the Microbial Maze.Molecules (Basel, Switzerland) · 2024Article
- Molecular mechanism and application of emerging technologies in study of bacterial persisters.BMC microbiology · 2024Review
- Machine Learning in FTIR Spectrum for the Identification of Antibiotic Resistance: A Demonstration with Different Species of Microorganisms.Antibiotics (Basel, Switzerland) · 2024Article
- Rapid, antibiotic incubation-free determination of tuberculosis drug resistance using machine learning and Raman spectroscopy.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
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 at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To be able to predict antibiotic resistance in bacteria from fast label-free microscopic observations would benefit a broad range of applications in the biological and biomedical fields. Here, we demonstrate the utility of label-free Raman spectroscopy in monitoring the type of resistance and the mode of action of acquired resistance in a bacterial population of
Identifiers
What OpenQuestion holds
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.