Sztuba-Solinska Joanna, Le Grice Stuart F J
RT Biochemistry Section, HIV Drug Resistance Program, Frederick National Laboratory for Cancer Research, Frederick, MD, 21702, USA.
Methods Mol Biol. 2014;1138:225-39. doi: 10.1007/978-1-4939-0348-1_14.
Dengue virus (DENV) is a single-stranded positive-sense RNA virus belonging to the Flaviviridae family. The DENV RNA genome contains multiple cis-acting elements that continue to unravel their essential role in managing viral molecular processes. Attempts have been made to predict the secondary structure of DENV RNA using a variety of computational tools. Nevertheless, a greater degree of accuracy is achieved when these methods are complemented with structure probing experimentation. This chapter outlines detailed methodology for the structural study of DENV subgenomic minigenome RNA by applying high-throughput selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE). High-throughput SHAPE combines a novel chemical probing technology with reverse transcription, capillary electrophoresis, and secondary structure prediction software to rapidly and reproducibly determine the structure of RNAs from several hundred to several thousand nucleotides at single-nucleotide resolution. This methodology investigates local structure for all positions in a sequence-independent manner and as such it is particularly useful in predicting RNA secondary and tertiary interactions.
登革病毒(DENV)是一种属于黄病毒科的单链正链RNA病毒。登革病毒RNA基因组包含多个顺式作用元件,这些元件在调控病毒分子过程中的重要作用仍在不断被揭示。人们已尝试使用多种计算工具来预测登革病毒RNA的二级结构。然而,当这些方法与结构探测实验相结合时,能获得更高的准确性。本章概述了通过应用引物延伸分析的高通量选择性2'-羟基酰化法(SHAPE)对登革病毒亚基因组微型基因组RNA进行结构研究的详细方法。高通量SHAPE将一种新型化学探测技术与逆转录、毛细管电泳及二级结构预测软件相结合,以单核苷酸分辨率快速且可重复地确定几百到几千个核苷酸的RNA结构。该方法以不依赖序列的方式研究序列中所有位置的局部结构,因此在预测RNA二级和三级相互作用方面特别有用。