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Selective 2′-hydroxyl acylation analyzed by primer extension and mutational profiling (SHAPE-MaP) for direct versatile and accurate RNA structure analysis

机译:通过引物延伸和突变谱分析(SHAPE-MaP)分析选择性2-羟基酰化反应可进行直接通用和准确的RNA结构分析

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摘要

SHAPE chemistries exploit small electrophilic reagents that react with the 2′-hydroxyl group to interrogate RNA structure at single-nucleotide resolution. Mutational profiling (MaP) identifies modified residues based on the ability of reverse transcriptase to misread a SHAPE-modified nucleotide and then counting the resulting mutations by massively parallel sequencing. The SHAPE-MaP approach measures the structure of large and transcriptome-wide systems as accurately as for simple model RNAs. This protocol describes the experimental steps, implemented over three days, required to perform SHAPE probing and construct multiplexed SHAPE-MaP libraries suitable for deep sequencing. These steps include RNA folding and SHAPE structure probing, mutational profiling by reverse transcription, library construction, and sequencing. Automated processing of MaP sequencing data is accomplished using two software packages. ShapeMapper converts raw sequencing files into mutational profiles, creates SHAPE reactivity plots, and provides useful troubleshooting information, often within an hour. SuperFold uses these data to model RNA secondary structures, identify regions with well-defined structures, and visualize probable and alternative helices, often in under a day. We illustrate these algorithms with the E. coli thiamine pyrophosphate riboswitch, E. coli 16S rRNA, and HIV-1 genomic RNAs. SHAPE-MaP can be used to make nucleotide-resolution biophysical measurements of individual RNA motifs, rare components of complex RNA ensembles, and entire transcriptomes. The straightforward MaP strategy greatly expands the number, length, and complexity of analyzable RNA structures.
机译:SHAPE化学方法利用与2'-羟基反应的小型亲电试剂,以单核苷酸分辨率询问RNA结构。突变谱(MaP)根据逆转录酶误读SHAPE修饰的核苷酸,然后通过大规模平行测序对产生的突变进行计数的能力来鉴定修饰的残基。 SHAPE-MaP方法可以像简单模型RNA一样准确地测量大型转录组系统的结构。该协议描述了执行SHAPE探测并构建适用于深度测序的多重SHAPE-MaP库所需的三天实验步骤。这些步骤包括RNA折叠和SHAPE结构探测,通过反转录进行突变谱分析,文库构建和测序。使用两个软件包可以自动处理MaP测序数据。 ShapeMapper通常将在一小时内将原始测序文件转换为突变谱,创建SHAPE反应性图并提供有用的故障排除信息。 SuperFold使用这些数据来建模RNA二级结构,识别具有明确结构的区域,并可视化通常在一天之内的可能螺旋螺旋和替代螺旋。我们用大肠杆菌硫胺素焦磷酸核糖开关,大肠杆菌16S rRNA和HIV-1基因组RNA说明了这些算法。 SHAPE-MaP可用于对单个RNA基序,复杂RNA集合的稀有成分以及整个转录组进行核苷酸分辨率的生物物理测量。简单的MaP策略大大扩展了可分析RNA结构的数量,长度和复杂性。

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