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Triplet Analysis That Identifies Unpaired Regions of Functional RNAs

机译:三重态分析可识别功能性RNA的未配对区域

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摘要

We developed a novel method for analyzing RNA sequences, deemed triplet analysis, and applied the method in an in vitro RNA selection experiment in which HIV-1 Tat was the target. Aptamers are nucleic acids that bind a desired target (bait), and to date, many aptamers have been identified by in vitro selection from enough concentrated libraries in which many RNAs had an obvious consensus primary sequence after sufficient cycles of the selection. Therefore, the higher-order structural features of the aptamers that are indispensable for interaction with the bait must be determined by additional investigation of the aptamers. In contrast, our triplet analysis enabled us to extract important information on functional primary and secondary structure from minimally concentrated RNA libraries. As a result, by using our method, an important unpaired region that is similar to the bulge of TAR was readily predicted from a partially concentrated library in which no consensus sequence was revealed by a conventional sequence analysis. Moreover, our analysis method may be used to assess a variety of structural motifs with desired function.
机译:我们开发了一种用于分析RNA序列的新方法,称为三重态分析,并将该方法应用于以HIV-1 Tat为靶标的体外RNA选择实验。适体是结合所需靶标(诱饵)的核酸,迄今为止,已经通过从足够浓缩的文库中进行体外选择来鉴定出许多适体,其中在足够的选择循环后,许多RNA具有明显的共有一级序列。因此,必须通过对适配子的进一步研究来确定适配子与诱饵相互作用所必需的高级结构特征。相反,我们的三重态分析使我们能够从最低浓缩的RNA文库中提取有关功能性一级和二级结构的重要信息。结果,通过使用我们的方法,很容易从部分浓缩的文库中预测出与TAR凸起相似的重要未配对区域,在该文库中,常规序列分析无法揭示共有序列。此外,我们的分析方法可用于评估具有所需功能的各种结构基序。

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