ReviewJournal of microbiology (Seoul, Korea)2021
Microbial phenomics linking the phenotype to fonction: The potential of Raman spectroscopy.
Review in Journal of microbiology (Seoul, Korea), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 25 citations in OpenAlex.
- Intratumoral microbiome: implications for immune modulation and innovative therapeutic strategies in cancer.Journal of biomedical science · 2025Review
- Illuminating the Tiny World: A Navigation Guide for Proper Raman Studies on Microorganisms.Molecules (Basel, Switzerland) · 2024Review
- Development of Polyhydroxybutyrate-Based Packaging Films and Methods to Their Ultrasonic Welding.Materials (Basel, Switzerland) · 2023Article
- Formation and emergent dynamics of spatially organized microbial systems.Interface focus · 2023Review
- Phenotypic shifts induced by environmental pre-stressors modify antibiotic resistance inFrontiers in microbiology · 2023Article
- Discrimination of Stressed and Non-Stressed Food-Related Bacteria Using Raman-Microspectroscopy.Foods (Basel, Switzerland) · 2022Article
- Phenotypic convergence of bacterial adaption to sub-lethal antibiotic treatment.Frontiers in cellular and infection microbiology · 2022Article
- Flow cytometric monitoring of the bacterial phenotypic diversity in aquatic ecosystems.Journal of microbiology (Seoul, Korea) · 2021Article
- Omics-based microbiome analysis in microbial ecology: from sequences to information.Journal of microbiology (Seoul, Korea) · 2021Article
- Roles of Phosphate Solubilizing Microorganisms from Managing Soil Phosphorus Deficiency to Mediating Biogeochemical P Cycle.Biology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Raman spectroscopy is a promising tool for identifying microbial phenotypes based on single cell Raman spectra reflecting cellular biochemical biomolecules. Recent studies using Raman spectroscopy have mainly analyzed phenotypic changes caused by microbial interactions or stress responses (e.g., antibiotics) and evaluated the microbial activity or substrate specificity under a given experimental condition using stable isotopes. Lack of labelling and the nondestructive pretreatment and measurement process of Raman spectroscopy have also aided in the sorting of microbial cells with interesting phenotypes for subsequently conducting physiology experiments through cultivation or genome analysis. In this review, we provide an overview of the principles, advantages, and status of utilization of Raman spectroscopy for studies linking microbial phenotypes and functions. We expect Raman spectroscopy to become a next-generation phenotyping tool that will greatly contribute in enhancing our understanding of microbial functions in natural and engineered systems.
Indexed as
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.