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Serial analysis of mutation spectra (SAMS): a new approach for the determination of mutation spectra of site-specific DNA damage and their sequence dependence

机译:突变谱序列分析(SAMS):一种确定位点特异性DNA损伤突变谱及其序列依赖性的新方法

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摘要

Many mutations occur as a result of DNA synthesis past the site of DNA damage by DNA damage bypass polymerases. The frequency and types of mutations not only depend on the nature of the damage, but also on the sequence context, as revealed from analysis of mutation spectra of DNA exposed to mutagens. Herein we report a new method for the rapid determination of the effect of sequence context on mutagenesis called SAMS for serial analysis of mutation spectra. This technique makes use of the methodology that underlies serial analysis of gene expression (SAGE) to analyze mutations that result from DNA synthesis past a DNA lesion site-specifically embedded in a library of DNA sequences. To illustrate our technique we determined the effect of sequence context on mutations generated by DNA synthesis past a tetrahydrofuran abasic site model by the DNA damage bypass polymerase yeast polymerase >η.
机译:由于DNA合成绕过DNA损伤旁路聚合酶破坏DNA的位点而发生许多突变。突变的频率和类型不仅取决于损伤的性质,而且取决于序列背景,这是通过对暴露于诱变剂的DNA的突变谱进行分析而揭示的。在这里,我们报告了一种新的方法,用于快速确定序列背景对诱变的影响,称为SAMS,用于突变谱的串行分析。该技术利用了基因表达系列分析(SAGE)的基础方法,可分析由于DNA合成经过特定地嵌入DNA序列库中的DNA损伤位点而导致的DNA突变。为了说明我们的技术,我们确定了序列背景对通过DNA损伤旁路聚合酶酵母聚合酶>η通过四氢呋喃脱碱基位点模型的DNA合成产生的突变的影响。

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