ArticleScientific reports2023
Non-invasive monitoring of T cell differentiation through Raman spectroscopy.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 18 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
- Single-cell Raman profiling of B cell differentiation and leukemic transformation with transcriptome inference.Frontiers in immunology · 2026Article
- Label-free estimation of regulatory T cell activation markers using Raman spectroscopy with machine learning.Scientific reports · 2025Article
- Raman Spectroscopy of Optically Trapped Living Human T Cell Subsets and Monocytes.International journal of molecular sciences · 2024Article
- Neural Network-Based Filter Design for Compressive Raman Classification of Cells.Journal of chemical information and modeling · 2024Article
- Imaging immunometabolismImmunometabolism (Cobham, Surrey) · 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
- Advancing precision cancer immunotherapy drug development, administration, and response prediction with AI-enabled Raman spectroscopy.Frontiers in immunology · 2024Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The monitoring of dynamic cellular behaviors remains a technical challenge for most established techniques used nowadays for single-cell analysis, as most of them are either destructive, or rely on labels that can affect the long-term functions of cells. We employ here label-free optical techniques to non-invasively monitor the changes that occur in murine naive T cells upon activation and subsequent differentiation into effector cells. Based on spontaneous Raman single-cell spectra, we develop statistical models that allow the detection of activation, and employ non-linear projection methods to delineate the changes occurring over a several day period spanning early differentiation. We show that these label-free results have very high correlation with known surface markers of activation and differentiation, while also providing spectral models that allow the identification of the underlying molecular species that are representative of the biological process under study.
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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.