ArticleStem cell research & therapy2021
Single cell Raman spectroscopy to identify different stages of proliferating human hepatocytes for cell therapy.
Article in Stem cell research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Label-Free Hyperspectral Raman Imaging and Analysis of a 3D Spheroid Model for Liver Fibrosis Study.Chemical & biomedical imaging · 2026Article
- Integration of Raman spectroscopy and chemometric modeling to study lactose effects on human glioblastoma brain cells.RSC advances · 2026Article
- Expansion of human hepatocytes and their application in three-dimensional culture and genetic manipulation.Nature protocols · 2025Article
- Fluorescence Guided Raman Spectroscopy enables the training of robust support vector machines for the detection of tumour marker proteins.Scientific reports · 2025Article
- Raman analysis of lipids in cells: Current applications and future prospects.Journal of pharmaceutical analysis · 2025Review
- Alpha-synuclein aggregation induces prominent cellular lipid changes as revealed by Raman spectroscopy and machine learning analysis.Brain communications · 2025Article
- Article
- Label-Free, Noninvasive Bone Cell Classification by Hyperspectral Confocal Raman Microscopy.Chemical & biomedical imaging · 2024Article
- Assessment of Primary Human Liver Cancer Cells by Artificial Intelligence-Assisted Raman Spectroscopy.Cells · 2023Article
- Comparative Analysis Using Raman Spectroscopy of the Cellular Constituents ofMicroorganisms · 2023Article
- Quantitative chemometric phenotyping of three-dimensional liver organoids by Raman spectral imaging.Cell reports methods · 2023Article
- Integration of Computational Analysis and Spatial Transcriptomics in Single-cell Studies.Genomics, proteomics & bioinformatics · 2023Review
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9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundCell therapy provides hope for treatment of advanced liver failure. Proliferating human hepatocytes (ProliHHs) were derived from primary human hepatocytes (PHH) and as potential alternative for cell therapy in liver diseases. Due to the continuous decline of mature hepatic genes and increase of progenitor like genes during ProliHHs expanding, it is challenge to monitor the critical changes of the whole process. Raman microspectroscopy is a noninvasive, label free analytical technique with high sensitivity capacity. In this study, we evaluated the potential and feasibility to identify ProliHHs from PHH with Raman spectroscopy.
methodsRaman spectra were collected at least 600 single spectrum for PHH and ProliHHs at different stages (Passage 1 to Passage 4). Linear discriminant analysis and a two-layer machine learning model were used to analyze the Raman spectroscopy data. Significant differences in Raman bands were validated by the associated conventional kits.
resultsLinear discriminant analysis successfully classified ProliHHs at different stages and PHH. A two-layer machine learning model was established and the overall accuracy was at 84.6%. Significant differences in Raman bands have been found within different ProliHHs cell groups, especially changes at 1003 cm
conclusionsIn brief, Raman spectroscopy was successfully employed to identify different stages of ProliHHs during dedifferentiation process. The approach can simultaneously trace multiple changes of cellular components from somatic cells to progenitor cells.
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