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通过解析三线态荧光数据研究抗肿瘤药物柔红霉素和荧光探针溴化乙锭与DNA的竞争相互作用:平行因子分析(PARAFAC)及其改进方法的应用

Competitive interaction of the antitumor drug daunorubicin and the fluorescence probe ethidium bromide with DNA as studied by resolving trilinear fluorescence data: the use of PARAFAC and its modification.

作者信息

Xie Ping, Jiang Hui, Chu Xia, Cui Hui, Wu Long, Shen Li, Yu Qin

机构信息

State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, China.

出版信息

Anal Bioanal Chem. 2002 Jun;373(3):159-62. doi: 10.1007/s00216-002-1306-y. Epub 2002 May 4.

Abstract

The competitive interaction with DNA of daunorubicin (DR), being present in the clinical anti-tumor drug daunoblastina, and the fluorescence probe ethidium bromide (EB) has been studied by parallel-factor analysis (PARAFAC) and full-rank parallel-factor analysis (FRA-PARAFAC) of a fluorescence excitation-emission three-way data array. The PARAFAC algorithm can furnish stable resolution results for the data array studied, if the estimated number of chemical components is consistent with the real number. The FRA-PARAFAC algorithm is not sensitive to the estimated number of components of the fluorescence data array if the estimated number is not less than the real number. Both algorithms gave identical resolution for the three components concerned DR, EB, and the complex EB-DNA. Variations of the equilibrium concentrations of free DR, EB, and the complex EB-DNA were resolved by both algorithms. Experimental observation confirms the hypothesis that DR is an intercalator of DNA and that the binding interactions of DR and EB with DNA are a pair of parallel competitive intercalation reactions on same base sites of DNA. The method exemplified by this study provides a useful approach for studying competitive interactions of different drugs with DNA in the presence of interferents.

摘要

通过对荧光激发 - 发射三维数据阵列进行平行因子分析(PARAFAC)和满秩平行因子分析(FRA - PARAFAC),研究了临床抗肿瘤药物柔红霉素(DR,存在于柔红霉素中)与DNA以及荧光探针溴化乙锭(EB)之间的竞争相互作用。如果估计的化学成分数量与实际数量一致,PARAFAC算法可以为所研究的数据阵列提供稳定的解析结果。如果估计数量不小于实际数量,FRA - PARAFAC算法对荧光数据阵列的估计成分数量不敏感。两种算法对所涉及的三种成分(DR、EB和复合物EB - DNA)给出了相同的解析结果。两种算法都解析了游离DR、EB和复合物EB - DNA平衡浓度的变化。实验观察证实了以下假设:DR是DNA的嵌入剂,并且DR和EB与DNA的结合相互作用是在DNA相同碱基位点上的一对平行竞争嵌入反应。本研究举例说明的方法为研究在存在干扰物的情况下不同药物与DNA的竞争相互作用提供了一种有用的方法。

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