Raman-based spectrophenotyping of the most important cells of the immune system

基于拉曼光谱对免疫系统最重要细胞进行分型

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作者:Aleksandra Borek-Dorosz, Anna Maria Nowakowska, Patrycja Leszczenko, Adriana Adamczyk, Anna Pieczara, Justyna Jakubowska, Agata Pastorczak, Kinga Ostrowska, Marta Ząbczyńska, Karol Sowinski, Wieslaw Ignacy Gruszecki, Malgorzata Baranska, Katarzyna Maria Marzec, Katarzyna Majzner

Conclusions

This proves the potential of Raman spectroscopy in clinical diagnostics to automatically differentiate between cells that are an important component of our immune system.

Methods

The immunomagnetic negative selection was used for the enrichment of B and T cells fractions, and their purity was assessed by flow cytometry. Isolated cells were fixed with 0.5% glutaraldehyde and measured using confocal Raman imaging. K-means cluster analysis, principal component analysis and partial least squares discriminant methods were applied for the identification of spectroscopic markers to distinguish B and T cells. HPLC was the reference method for identifying carotene in T cells.

Objective

B and T lymphocytes were isolated from peripheral blood obtained from healthy human donors.

Results

Reliable discrimination between T and B lymphocytes based on their spectral profile has been demonstrated using label-free Raman imaging and chemometric analysis. The presence of carotene in T lymphocytes (in addition to the previously reported in plasma) was confirmed and for the first time unequivocally identified as β-carotene. In addition, the molecular features of the lymphocytes nuclei were found to support the discriminant analysis. It has been shown that although the presence of carotenoids in T cells depends on individual donor variability, the reliable differentiation between lymphocytes is possible based on Raman spectra collected from individual cells. Conclusions: This proves the potential of Raman spectroscopy in clinical diagnostics to automatically differentiate between cells that are an important component of our immune system.

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