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首页> 外文会议>Conference on biomedical applications in molecular, structural, and functional imaging >Fourier transform infrared (FT-IR) spectroscopy and imaging of the nucleus to characterize DNA contributions in different phases of the cell cycle
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Fourier transform infrared (FT-IR) spectroscopy and imaging of the nucleus to characterize DNA contributions in different phases of the cell cycle

机译：傅里叶变换红外（FT-IR）光谱和细胞核成像可表征细胞周期不同阶段的DNA贡献

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Determination of neoplasia is largely dependent on the state of cell growth. Infrared (IR) spectroscopy has the potential to measure differences between normal and cancerous cells. When analyzing biopsy sections using IR spectroscopy, careful analyses become important since biochemical variations may be misinterpreted due to variations in cell cycle. Processes like DNA replication, transcription and translation to produce proteins are important in determining if the cells are actively dividing but no studies on this aspect using IR spectroscopy have been conducted on isolated cell nuclei. Nuclei hold critical information about the phase of cell and its capacity to divide, but IR spectra of nuclei are often confounded by cytoplasmic signals during data acquisition from intact cells and tissues. Therefore, we sought to separate nuclear signals from cytoplasmic signals and identify spectral differences that characterize different phases of the cell cycle. Both cells and isolated nuclei were analyzed to assess the effect of the cytoplasmic background and to identify spectral changes in nuclei in different phases of cell cycle. We observed that signals of DNA could be obtained when imaging nuclei isolated from cells in different phases of cell cycle, which is in contrast to the oft-cited case in cells wherein nuclear contributions are obscured. The differences across cell cycle phases were more pronounced in nucleic acid regions of the spectra, showing that the use of nuclear spectrum can provide additional information on cellular state. These results can aid in developing computational models that extract nuclear spectra from whole cells and tissues for more accurate assessment of biochemical variations.
机译：瘤形成的确定在很大程度上取决于细胞生长的状态。红外（IR）光谱技术有可能测量正常细胞与癌细胞之间的差异。当使用IR光谱分析活检切片时，仔细的分析变得很重要，因为由于细胞周期的变化，生化变化可能会被误解。 DNA复制，转录和翻译以产生蛋白质的过程对于确定细胞是否正在活跃分裂很重要，但是尚未对分离的细胞核进行使用IR光谱学的研究。细胞核拥有有关细胞相位及其分裂能力的关键信息，但是在从完整细胞和组织获取数据期间，细胞核信号常常混淆细胞核的红外光谱。因此，我们试图从细胞质信号中分离出核信号，并鉴定出表征细胞周期不同阶段的光谱差异。分析细胞和分离的细胞核，以评估细胞质背景的作用并鉴定细胞周期不同阶段中细胞核的光谱变化。我们观察到，当在细胞周期的不同阶段对从细胞中分离出的细胞核进行成像时，可以获得DNA信号，这与经常引用的细胞中核贡献被遮盖的情况相反。在光谱的核酸区域中，跨细胞周期阶段的差异更加明显，表明使用核光谱可以提供有关细胞状态的其他信息。这些结果可以帮助开发计算模型，该模型可以从整个细胞和组织中提取核光谱，以便更准确地评估生化变化。

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