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MFOLD预测的DNA二级结构与通过毛细管电泳单链构象多态性(CE-SSCP)分析获得的分离模式之间的相关性。

Correlation of MFOLD-predicted DNA secondary structures with separation patterns obtained by capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) analysis.

作者信息

Glavac Damjan, Potocnik Uros, Podpecnik Darja, Zizek Teofil, Smerkolj Sava, Ravnik-Glavac Metka

机构信息

Laboratory of Molecular Genetics, Institute of Pathology, Ljubljana, Slovenia.

出版信息

Hum Mutat. 2002 Apr;19(4):384-94. doi: 10.1002/humu.10086.

Abstract

We have studied 57 different mutations within three beta-globin gene promoter fragments with sizes 52 bp, 77 bp, and 193 bp by fluorescent capillary electrophoresis CE-SSCP analysis. For each mutation and wild type, energetically most-favorable predicted secondary structures were calculated for sense and antisense strands using the MFOLD DNA-folding algorithm in order to investigate if any correlation exists between predicted DNA structures and actual CE migration time shifts. The overall CE-SSCP detection rate was 100% for all mutations in three studied DNA fragments. For shorter 52 bp and 77 bp DNA fragments we obtained a positive correlation between the migration time shifts and difference in free energy values of predicted secondary structures at all temperatures. For longer 193 bp beta-globin gene fragments with 46 mutations MFOLD predicted different secondary structures for 89% of mutated strands at 25 degrees C and 40 degrees C. However, the magnitude of the mobility shifts did not necessarily correlate with their secondary structures and free energy values except for the sense strand at 40 degrees C where this correlation was statistically significant (r = 0.312, p = 0.033). Results of this study provided more direct insight into the mechanism of CE-SSCP and showed that MFOLD prediction could be helpful in making decisions about the running temperatures and in prediction of CE-SSCP data patterns, especially for shorter (50-100 bp) DNA fragments.

摘要

我们通过荧光毛细管电泳CE - SSCP分析,研究了三个β - 珠蛋白基因启动子片段(大小分别为52 bp、77 bp和193 bp)中的57种不同突变。对于每种突变和野生型,使用MFOLD DNA折叠算法计算有义链和反义链在能量上最有利的预测二级结构,以研究预测的DNA结构与实际CE迁移时间变化之间是否存在任何相关性。在三个研究的DNA片段中,所有突变的总体CE - SSCP检测率为100%。对于较短的52 bp和77 bp DNA片段,我们在所有温度下都获得了迁移时间变化与预测二级结构自由能值差异之间的正相关。对于含有46种突变的较长的193 bpβ - 珠蛋白基因片段,MFOLD在25℃和40℃时预测89%的突变链具有不同的二级结构。然而,迁移率变化的幅度不一定与其二级结构和自由能值相关,除了在40℃时的有义链,该相关性具有统计学意义(r = 0.312,p = 0.033)。本研究结果为CE - SSCP机制提供了更直接的见解,并表明MFOLD预测有助于确定运行温度以及预测CE - SSCP数据模式,特别是对于较短(50 - 100 bp)的DNA片段。

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