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首页> 外文会议>Diagnostic Optical Spectroscopy in Biomedicine IV; Progress in Biomedical Optics and Imaging; vol.8 no.41; Proceedings of SPIE-The International Society for Optical Engineering; vol.6628 >FT-Infrared Spectroscopic Studies of Lymphoma, Lymphoid and Myeloid Leukaemia Cell Lines
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FT-Infrared Spectroscopic Studies of Lymphoma, Lymphoid and Myeloid Leukaemia Cell Lines

机译：淋巴瘤，淋巴样和髓样白血病细胞系的FT红外光谱研究

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摘要

This paper presents a novel method to characterise spectral differences that distinguish leukaemia and lymphoma cell lines. This is based on objective spectral measurements of major cellular biochemical constituents and multivariate spectral processing. Fourier transform infrared (FT-IR) maps of the lymphoma, lymphoid and myeloid leukaemia cell samples were obtained using a Perkin-Elmer Spotlight 300 FT-IR imaging spectrometer. Multivariate statistical techniques incorporating principal component analysis (PCA) and linear discriminant analysis (LDA) were used to construct a mathematical model. This model was validated for reproducibility. Multivariate statistical analysis of FTIR spectra collected for each cell sample permit a combination of unsupervised and supervised methods of distinguishing cell line types. This resulted in the clustering of cell line populations, indicating distinct bio-molecular differences. Major spectral differences were observed in the 4000 to 800 cm~(-1) spectral region. Bands in the averaged spectra for the cell line were assigned to the major biochemical constituents including; proteins, fatty acids, carbohydrates and nucleic acids. The combination of FT-IR spectroscopy and multivariate statistical analysis provides an important insight into the fundamental spectral differences between the cell lines, which differ according to the cellular biochemical composition. These spectral differences can serve as potential biomarkers for the differentiation of leukaemia and lymphoma cells. Consequently these differences could be used as the basis for developing a spectral method for the detection and identification of haematological malignancies.
机译：本文提出了一种新的方法来表征区分白血病和淋巴瘤细胞系的光谱差异。这基于主要细胞生化成分的客观光谱测量和多元光谱处理。使用Perkin-Elmer Spotlight 300 FT-IR成像光谱仪获得淋巴瘤，淋巴样和髓样白血病细胞样品的傅里叶变换红外（FT-IR）图。结合主成分分析（PCA）和线性判别分析（LDA）的多元统计技术用于构建数学模型。验证了该模型的可重复性。对每个细胞样品收集的FTIR光谱进行多变量统计分析，可以将区分细胞系类型的无监督和有监督的方法结合起来。这导致细胞系群的聚集，表明明显的生物分子差异。在4000至800 cm〜（-1）的光谱范围内观察到主要光谱差异。细胞系平均光谱中的谱带被分配给主要的生化成分，包括：蛋白质，脂肪酸，碳水化合物和核酸。 FT-IR光谱学和多元统计分析的结合为细胞系之间的基本光谱差异提供了重要的见解，这些差异根据细胞的生化成分而有所不同。这些光谱差异可以用作分化白血病和淋巴瘤细胞的潜在生物标记。因此，这些差异可作为开发检测和鉴定血液系统恶性肿瘤的光谱方法的基础。

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