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• W4385983265 abstract "With the rapid development of computing power, image analysis and artificial intelligence, computational microscopy techniques using non-classical imaging methods are making their way to fast label-free diagnostics. One of them is Raman microscopy using inelastic scattering of light. The molecular composition of a given sampling site, a pixel of the image, can be read from the spectrum. We used this technique to analyse acute myeloid leukemia (AML) cells. The aim of the study was to determine the possibility of assessing the presence of mutations in the key genes for the development of leukemia. To achieve the goal, we made genetic models of leukemia carrying selected mutations by transforming myeloid origin cell lines (THP1, HEL, HL60) with wild and mutated forms of genes. We selected 3 of the genes that mutate frequently in AML: FLT3, IDH1/2 and MLL. We confirmed the desired phenotype of cells resulting from the mutation, collected Raman maps and analysed with K-means cluster analysis (KMCA) followed by Partial Least Squares–Discrimination Analysis (PLS-DA) and Principal Component Analysis (PCA). In the second step we selected clinical samples carrying the NGS confirmed mutations, collected Raman maps and applied same analysis. The Raman-based distinction between cells with wild-type FLT3 and FLT3/ITD was subtle but significant. Obtained results indicate differences in lipids (1440, 1240, 1660 and 2850 cm-1) and hemoproteins content (740-760 cm-1). We were also able to distinguish cells carrying IDH1/2 and MLL mutations from the lines with the wild form of the genes. We conclude Raman imaging is a potent tool for the detection and study of leukemia driver mutations. The „Label-free and rapid optical imaging, detection and sorting of leukemia cells” project is carried out within the Team-Net program of the Foundation for Polish Science. With the rapid development of computing power, image analysis and artificial intelligence, computational microscopy techniques using non-classical imaging methods are making their way to fast label-free diagnostics. One of them is Raman microscopy using inelastic scattering of light. The molecular composition of a given sampling site, a pixel of the image, can be read from the spectrum. We used this technique to analyse acute myeloid leukemia (AML) cells. The aim of the study was to determine the possibility of assessing the presence of mutations in the key genes for the development of leukemia. To achieve the goal, we made genetic models of leukemia carrying selected mutations by transforming myeloid origin cell lines (THP1, HEL, HL60) with wild and mutated forms of genes. We selected 3 of the genes that mutate frequently in AML: FLT3, IDH1/2 and MLL. We confirmed the desired phenotype of cells resulting from the mutation, collected Raman maps and analysed with K-means cluster analysis (KMCA) followed by Partial Least Squares–Discrimination Analysis (PLS-DA) and Principal Component Analysis (PCA). In the second step we selected clinical samples carrying the NGS confirmed mutations, collected Raman maps and applied same analysis. The Raman-based distinction between cells with wild-type FLT3 and FLT3/ITD was subtle but significant. Obtained results indicate differences in lipids (1440, 1240, 1660 and 2850 cm-1) and hemoproteins content (740-760 cm-1). We were also able to distinguish cells carrying IDH1/2 and MLL mutations from the lines with the wild form of the genes. We conclude Raman imaging is a potent tool for the detection and study of leukemia driver mutations. The „Label-free and rapid optical imaging, detection and sorting of leukemia cells” project is carried out within the Team-Net program of the Foundation for Polish Science." @default.
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• W4385983265 date "2023-01-01" @default.
• W4385983265 modified "2023-10-14" @default.
• W4385983265 title "3137 – ACUTE MYLOID LEUKEMIA KEY MUTATIONS IN THE LENS OF RAMAN MICROSCOPY." @default.
• W4385983265 doi "https://doi.org/10.1016/j.exphem.2023.06.244" @default.
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