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首页> 外文期刊>Journal of biomedical optics >Early spectral changes of cellular malignant transformation using Fourier transform infrared microspectroscopy
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Early spectral changes of cellular malignant transformation using Fourier transform infrared microspectroscopy

机译：傅立叶变换红外显微术对细胞恶变的早期光谱变化

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摘要

Fourier transform infrared microspectroscopy (FTIR-MSP) is potentially a powerful analytical method for identifying the spectral properties of biological activity in cells. The goal of the present research is the implementation of FTIR-MSP to study early spectral changes accompanying malignant transformation of cells. As a model system, cells in culture are infected by the murine sarcoma virus (MuSV), which induces malignant transformation. The spectral measurements are taken at various postinfection time intervals. To follow up systematically the progress of the spectral changes at early stages of cell transformation, it is essential first to determine and validate consistent and significant spectral parameters (biomarkers), which can evidently discriminate between normal and cancerous cells. Early stages of cell transformation are classified by an array of spectral biomarkers utilizing cluster analysis and discriminant classification function techniques. The classifications indicate that the first spectral changes are detectable much earlier than the first morphological signs of cell transformation. Our results point out that the first spectral signs of malignant transformation are observed on the first and third day of postinfection (PI) (for NIH/3T3 and MEF cell cultures, respectively), while the first visible morphological alterations are observed only on the third and seventh day, respectively. These results strongly support the potential of developing FTIR microspectroscopy as a simple, reagent-free method for early detection of malignancy.
机译：傅里叶变换红外光谱（FTIR-MSP）可能是一种强大的分析方法，可用于识别细胞中生物活性的光谱特性。本研究的目的是实施FTIR-MSP，以研究伴随细胞恶性转化的早期光谱变化。作为模型系统，培养的细胞被鼠肉瘤病毒（MuSV）感染，后者诱导恶性转化。在不同的感染后时间间隔进行光谱测量。为了系统地跟踪细胞转化早期光谱变化的进展，必须首先确定并验证一致且重要的光谱参数（生物标记物），这可以明显区分正常细胞和癌细胞。利用聚类分析和判别分类功能技术，通过一系列光谱生物标记物对细胞转化的早期阶段进行分类。分类表明，可以比细胞转化的第一形态学迹象更早地检测到第一光谱变化。我们的结果指出，在感染后（PI）的第一天和第三天（分别用于NIH / 3T3和MEF细胞培养）观察到了恶性转化的第一个光谱信号，而仅在第三天观察到了第一个可见的形态学改变。和第七天。这些结果有力地支持了开发FTIR显微技术作为早期检测恶性肿瘤的简单，无试剂的方法的潜力。

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