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Micro-Raman Spectroscopy Detects Individual Neoplastic and Normal Hematopoietic Cells

机译:显微拉曼光谱检测单个肿瘤细胞和正常造血细胞

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摘要

Current methods for identifying neoplastic cells and discerning them from their normal counterparts are often nonspecific, slow, biologically perturbing, or a combination thereof. Here, we show that single-cell micro-Raman spectroscopy averts these shortcomings and can be used to discriminate between unfixed normal human lymphocytes and transformed Jurkat and Raji lymphocyte cell lines based on their biomolecular Raman signatures. We demonstrate that single-cell Raman spectra provide a highly reproducible biomolecular fingerprint of each cell type. Characteristic peaks, mostly due to different DNA and protein concentrations, allow for discerning normal lymphocytes from transformed lymphocytes with high confidence (p ≪ 0.05). Spectra are also compared and analyzed by principal component analysis to demonstrate that normal and transformed cells form distinct clusters that can be defined using just two principal components. The method is shown to have a sensitivity of 98.3% for cancer detection, with 97.2% of the cells being correctly classified as belonging to the normal or transformed type. These results demonstrate the potential application of confocal micro-Raman spectroscopy as a clinical tool for single cancer cell detection based on intrinsic biomolecular signatures, therefore eliminating the need for exogenous fluorescent labeling.
机译:当前鉴定肿瘤细胞并使它们与正常细胞区别的方法通常是非特异性的,缓慢的,生物学上易扰的或其组合。在这里,我们显示单细胞显微拉曼光谱避免了这些缺点,可用于根据其生物分子拉曼特征区分未固定的正常人淋巴细胞和转化的Jurkat和Raji淋巴细胞细胞系。我们证明了单细胞拉曼光谱提供了每种细胞类型的高度可重现的生物分子指纹。特征峰主要归因于不同的DNA和蛋白质浓度,可高可信度地将正常淋巴细胞与转化淋巴细胞区分开(p≪ 0.05)。还通过主成分分析对光谱进行了比较和分析,以证明正常细胞和转化细胞形成了仅使用两个主成分即可定义的独特簇。该方法对癌症的检测灵敏度为98.3%,其中97.2%的细胞被正确分类为正常或转化类型。这些结果证明了共聚焦显微拉曼光谱法作为基于内在生物分子特征的单癌细胞检测的临床工具的潜在应用,因此消除了对外源荧光标记的需求。

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