ArticleScientific reports2016
Non-label immune cell state prediction using Raman spectroscopy.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 74 citations in OpenAlex.
- Raman spectroscopy combined with multiple technologies for label-free identification of immune cells: An overview.Journal of pharmaceutical analysis · 2026Review
- Dynamic, single-cell monitoring of CAR T cell identity and activation with Raman spectroscopy.bioRxiv : the preprint server for biology · 2026Article
- Current Trends in In Vitro Diagnostics Using Surface-Enhanced Raman Scattering in Translational Biomedical Research.Biosensors · 2025Review
- Unveiling the Molecular Secrets: A Comprehensive Review of Raman Spectroscopy in Biological Research.ACS omega · 2024Review
- Raman Spectroscopy of Optically Trapped Living Human T Cell Subsets and Monocytes.International journal of molecular sciences · 2024Article
- Imaging immunometabolismImmunometabolism (Cobham, Surrey) · 2024Article
- Label-free morpho-molecular phenotyping of living cancer cells by combined Raman spectroscopy and phase tomography.Communications biology · 2024Article
- Non-invasive detection of regulatory T cells with Raman spectroscopy.Scientific reports · 2024Article
- Raman Spectroscopy as a Research and Diagnostic Tool in Clinical Hematology and Hematooncology.International journal of molecular sciences · 2024Review
- Yuragi biomarker concept for evaluating human induced pluripotent stem cells using heterogeneity-based Raman finger-printing.Biophysics and physicobiology · 2024Article
- Advancing precision cancer immunotherapy drug development, administration, and response prediction with AI-enabled Raman spectroscopy.Frontiers in immunology · 2024Review
- Review
- Raman Spectroscopy Profiling of Splenic T-Cells in Sepsis and Endotoxemia in Mice.International journal of molecular sciences · 2023Article
- Toward Gene-Correlated Spatially Resolved Metabolomics with Fingerprint Coherent Raman Imaging.The journal of physical chemistry. B · 2023Article
- Simultaneous Dual-Band Hyperspectral Stimulated Raman Scattering Microscopy with Femtosecond Optical Parametric Oscillators.The journal of physical chemistry. B · 2023Article
- Touch-free optical technologies to streamline the production of T cell therapies.Current opinion in biomedical engineering · 2023Article
- Non-invasive monitoring of T cell differentiation through Raman spectroscopy.Scientific reports · 2023Article
- Label-Free Characterization of Macrophage Polarization Using Raman Spectroscopy.International journal of molecular sciences · 2023Article
- γδ T cells recruitment and local proliferation in brain parenchyma benefit anti-neuroinflammation after cerebral microbleeds.Frontiers in immunology · 2023Article
- Application of the Dynamical Network Biomarker Theory to Raman Spectra.Biomolecules · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The acquired immune system, mainly composed of T and B lymphocytes, plays a key role in protecting the host from infection. It is important and technically challenging to identify cell types and their activation status in living and intact immune cells, without staining or killing the cells. Using Raman spectroscopy, we succeeded in discriminating between living T cells and B cells, and visualized the activation status of living T cells without labeling. Although the Raman spectra of T cells and B cells were similar, they could be distinguished by discriminant analysis of the principal components. Raman spectra of activated T cells with anti-CD3 and anti-CD28 antibodies largely differed compared to that of naïve T cells, enabling the prediction of T cell activation status at a single cell level. Our analysis revealed that the spectra of individual T cells gradually change from the pattern of naïve T cells to that of activated T cells during the first 24 h of activation, indicating that changes in Raman spectra reflect slow changes rather than rapid changes in cell state during activation. Our results indicate that the Raman spectrum enables the detection of dynamic changes in individual cell state scattered in a heterogeneous population.
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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.