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先进的拉曼光谱技术在核酸碱基氧化损伤检测中的应用:在超低浓度下探测鸟嘌呤中的化学变化和分子间相互作用。

Advanced Raman Spectroscopy Detection of Oxidative Damage in Nucleic Acid Bases: Probing Chemical Changes and Intermolecular Interactions in Guanosine at Ultralow Concentration.

机构信息

Department of Physics, Sapienza University of Rome, P.le A. Moro 5, Rome, Italy.

Department of Physics and Geology, University of Perugia, Via Alessandro Pascoli, Perugia, Italy.

出版信息

Anal Chem. 2021 Aug 10;93(31):10825-10833. doi: 10.1021/acs.analchem.1c01049. Epub 2021 Jul 29.

Abstract

DNA/RNA synthesis precursors are especially vulnerable to damage induced by reactive oxygen species occurring following oxidative stress. Guanosine triphosphates are the prevalent oxidized nucleotides, which can be misincorporated during replication, leading to mutations and cell death. Here, we present a novel method based on micro-Raman spectroscopy, combined with calculations, for the identification, detection, and quantification of oxidized nucleotides at low concentration. We also show that the Raman signature in the terahertz spectral range (<100 cm) contains information on the intermolecular assembly of guanine in tetrads, which allows us to further boost the oxidative damage detection limit. Eventually, we provide evidence that similar analyses can be carried out on samples in very small volumes at very low concentrations by exploiting the high sensitivity of surface-enhanced Raman scattering combined with properly designed superhydrophobic substrates. These results pave the way for employing such advanced spectroscopic methods for quantitatively sensing the oxidative damage of nucleotides in the cell.

摘要

DNA/RNA 合成前体特别容易受到氧化应激后产生的活性氧物质诱导的损伤。三磷酸鸟苷是普遍存在的氧化核苷酸,在复制过程中可能会被错误掺入,导致突变和细胞死亡。在这里,我们提出了一种基于微拉曼光谱的新方法,结合计算,用于在低浓度下识别、检测和定量氧化核苷酸。我们还表明,太赫兹光谱范围(<100cm)中的拉曼特征包含四联体中鸟嘌呤分子间组装的信息,这使我们能够进一步提高氧化损伤检测的下限。最终,我们提供的证据表明,通过利用表面增强拉曼散射的高灵敏度并结合适当设计的超疏水基底,可以在非常低的浓度下对非常小体积的样品进行类似的分析。这些结果为采用这种先进的光谱方法定量检测细胞中核苷酸的氧化损伤铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71cc/8382216/9b5d4a54a7e6/ac1c01049_0002.jpg

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