ArticlePloS one2014
Visualizing cell state transition using Raman spectroscopy.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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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.
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Who cites it
47 citing papers in PubMed, 102 citations in OpenAlex.
- Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns.eLife · 2026Article
- Holotomography-based, label-free quantification of cellular dry mass as a biophysical indicator of microglial Aβ phagocytosis during senescence.Biogerontology · 2026Article
- Automated High-Throughput Raman Spectral Framework for Cellular Differentiation Monitoring.Nano letters · 2026Article
- Holotomography-Based, Label-Free Quantification of Cellular Dry Mass as a Biophysical Indicator of Microglial Aβ Phagocytosis during Senescence.Research square · 2026Article
- Qualitative Evaluation of Binding States of Lipid Membranes to Mesoporous Silica Microspheres via Single-Particle Inductively Coupled Plasma Mass Spectrometry.Molecules (Basel, Switzerland) · 2025Article
- Live-cell omics with Raman spectroscopy.Microscopy (Oxford, England) · 2025Review
- Noninvasive andThe Analyst · 2025Article
- Quantitative Evaluation of Iron-Containing Proteins Bound to Mesoporous Silica Microspheres by Inductively Coupled Plasma Mass Spectrometry and Confocal Laser Raman Microscopy.Molecules (Basel, Switzerland) · 2025Article
- Unveiling the Molecular Secrets: A Comprehensive Review of Raman Spectroscopy in Biological Research.ACS omega · 2024Review
- Use of optical techniques to evaluate the ionizing radiation effects on biological specimens.Journal of radiation research · 2024Review
- Observation of biological and emulsion samples by newly developed three-dimensional impedance scanning electron microscopy.Computational and structural biotechnology journal · 2024Article
- Prediction of single-cell RNA expression profiles in live cells by Raman microscopy with Raman2RNA.Nature biotechnology · 2024Article
- Yuragi biomarker concept for evaluating human induced pluripotent stem cells using heterogeneity-based Raman finger-printing.Biophysics and physicobiology · 2024Article
- Review
- Simultaneous Dual-Band Hyperspectral Stimulated Raman Scattering Microscopy with Femtosecond Optical Parametric Oscillators.The journal of physical chemistry. B · 2023Article
- Correlative Fluorescence and Raman Microscopy to Define Mitotic Stages at the Single-Cell Level: Opportunities and Limitations in the AI Era.Biosensors · 2023Review
- Application of the Dynamical Network Biomarker Theory to Raman Spectra.Biomolecules · 2022Article
- Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression Prediction.Genes · 2022Review
- Raman Spectroscopy for Chemical Biology Research.Journal of the American Chemical Society · 2022Review
- Non-Invasive Three-Dimensional Cell Analysis in Bioinks by Raman Imaging.ACS applied materials & interfaces · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
System level understanding of the cell requires detailed description of the cell state, which is often characterized by the expression levels of proteins. However, understanding the cell state requires comprehensive information of the cell, which is usually obtained from a large number of cells and their disruption. In this study, we used Raman spectroscopy, which can report changes in the cell state without introducing any label, as a non-invasive method with single cell capability. Significant differences in Raman spectra were observed at the levels of both the cytosol and nucleus in different cell-lines from mouse, indicating that Raman spectra reflect differences in the cell state. Difference in cell state was observed before and after the induction of differentiation in neuroblastoma and adipocytes, showing that Raman spectra can detect subtle changes in the cell state. Cell state transitions during embryonic stem cell (ESC) differentiation were visualized when Raman spectroscopy was coupled with principal component analysis (PCA), which showed gradual transition in the cell states during differentiation. Detailed analysis showed that the diversity between cells are large in undifferentiated ESC and in mesenchymal stem cells compared with terminally differentiated cells, implying that the cell state in stem cells stochastically fluctuates during the self-renewal process. The present study strongly indicates that Raman spectral morphology, in combination with PCA, can be used to establish cells' fingerprints, which can be useful for distinguishing and identifying different cellular states.
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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.