ArticlemSphere2020
Raman Spectroscopy-Based Measurements of Single-Cell Phenotypic Diversity in Microbial Populations.
Article in mSphere, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
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Who cites it
13 citing papers in PubMed, 27 citations in OpenAlex.
- Overriding Bioprocess Perturbations With a Cell-Machine Interface for Reliable Microbial Stress-Response Control.Microbial biotechnology · 2026Article
- Microbial consortia for the conversion of biomass into fuels and chemicals.Nature communications · 2025Review
- Droplet microfluidics for single-cell studies: a frontier in ecological understanding of microbiomes.FEMS microbiology reviews · 2025Review
- Molecular mechanism and application of emerging technologies in study of bacterial persisters.BMC microbiology · 2024Review
- Feasibility of a Fiber-Dispersive Raman Spectrometer for Biomarker Detection.Applied spectroscopy · 2024Article
- The intersection of hostMicrobiology and molecular biology reviews : MMBR · 2024Review
- Fitness cost associated with cell phenotypic switching drives population diversification dynamics and controllability.Nature communications · 2023Article
- Robust Spontaneous Raman Flow Cytometry for Single-Cell Metabolic Phenome Profiling via pDEP-DLD-RFC.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Opportunities in optical and electrical single-cell technologies to study microbial ecosystems.Frontiers in microbiology · 2023Review
- Controlling microbial co-culture based on substrate pulsing can lead to stability through differential fitness advantages.PLoS computational biology · 2022Article
- A Single-Cell Raman Spectroscopy Analysis of Bone Marrow Mesenchymal Stem/Stromal Cells to Identify Inter-Individual Diversity.International journal of molecular sciences · 2022Article
- Measurement Techniques to Resolve and Control Population Dynamics of Mixed-Culture Processes.Trends in biotechnology · 2021Review
- Leveraging Experimental Strategies to Capture Different Dimensions of Microbial Interactions.Frontiers in microbiology · 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
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial cells experience physiological changes due to environmental change, such as pH and temperature, the release of bactericidal agents, or nutrient limitation. This has been shown to affect community assembly and physiological processes (e.g., stress tolerance, virulence, or cellular metabolic activity). Metabolic stress is typically quantified by measuring community phenotypic properties such as biomass growth, reactive oxygen species, or cell permeability. However, bulk community measurements do not take into account single-cell phenotypic diversity, which is important for a better understanding and the subsequent management of microbial populations. Raman spectroscopy is a nondestructive alternative that provides detailed information on the biochemical makeup of each individual cell. Here, we introduce a method for describing single-cell phenotypic diversity using the Hill diversity framework of Raman spectra. Using the biomolecular profile of individual cells, we obtained a metric to compare cellular states and used it to study stress-induced changes. First, in two
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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.