Watters Kyle E, Yu Angela M, Strobel Eric J, Settle Alex H, Lucks Julius B
School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, United States.
School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, United States; Tri-Institutional Program in Computational Biology and Medicine, Cornell University, Ithaca, New York, Weill Cornell Medical College, New York, New York, Memorial Sloan-Kettering Cancer Center, New York, New York, United States; Computational Biology Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, United States.
Methods. 2016 Jul 1;103:34-48. doi: 10.1016/j.ymeth.2016.04.002. Epub 2016 Apr 12.
RNA molecules adopt a wide variety of structures that perform many cellular functions, including, among others, catalysis, small molecule sensing, and cellular defense. Our ability to characterize, predict, and design RNA structures are key factors for understanding and controlling the biological roles of RNAs. Fortunately, there has been rapid progress in this area, especially with respect to experimental methods that can characterize RNA structures in a high throughput fashion using chemical probing and next-generation sequencing. Here, we describe one such method, selective 2'-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq), which measures nucleotide resolution flexibility information for RNAs in vitro and in vivo. We outline the process of designing and performing a SHAPE-Seq experiment and describe methods for using experimental SHAPE-Seq data to restrain computational folding algorithms to generate more accurate predictions of RNA secondary structure. We also provide a number of examples of SHAPE-Seq reactivity spectra obtained in vitro and in vivo and discuss important considerations for performing SHAPE-Seq experiments, both in terms of collecting and analyzing data. Finally, we discuss improvements and extensions of these experimental and computational techniques that promise to deepen our knowledge of RNA folding and function.
RNA分子具有多种结构,这些结构执行许多细胞功能,包括催化、小分子传感和细胞防御等。我们表征、预测和设计RNA结构的能力是理解和控制RNA生物学作用的关键因素。幸运的是,该领域已取得快速进展,特别是在使用化学探针和下一代测序以高通量方式表征RNA结构的实验方法方面。在此,我们描述一种这样的方法,即通过引物延伸测序分析的选择性2'-羟基酰化(SHAPE-Seq),它可在体外和体内测量RNA的核苷酸分辨率灵活性信息。我们概述设计和进行SHAPE-Seq实验的过程,并描述使用实验性SHAPE-Seq数据来约束计算折叠算法以生成更准确的RNA二级结构预测的方法。我们还提供了一些在体外和体内获得的SHAPE-Seq反应性谱的示例,并讨论进行SHAPE-Seq实验在数据收集和分析方面的重要注意事项。最后,我们讨论这些实验和计算技术的改进与扩展,它们有望加深我们对RNA折叠和功能的认识。