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Structure-seq2:体内RNA结构的灵敏且准确的全基因组分析

Structure-seq2: sensitive and accurate genome-wide profiling of RNA structure in vivo.

作者信息

Ritchey Laura E, Su Zhao, Tang Yin, Tack David C, Assmann Sarah M, Bevilacqua Philip C

机构信息

Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA.

Center for RNA Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA.

出版信息

Nucleic Acids Res. 2017 Aug 21;45(14):e135. doi: 10.1093/nar/gkx533.

Abstract

RNA serves many functions in biology such as splicing, temperature sensing, and innate immunity. These functions are often determined by the structure of RNA. There is thus a pressing need to understand RNA structure and how it changes during diverse biological processes both in vivo and genome-wide. Here, we present Structure-seq2, which provides nucleotide-resolution RNA structural information in vivo and genome-wide. This optimized version of our original Structure-seq method increases sensitivity by at least 4-fold and improves data quality by minimizing formation of a deleterious by-product, reducing ligation bias, and improving read coverage. We also present a variation of Structure-seq2 in which a biotinylated nucleotide is incorporated during reverse transcription, which greatly facilitates the protocol by eliminating two PAGE purification steps. We benchmark Structure-seq2 on both mRNA and rRNA structure in rice (Oryza sativa). We demonstrate that Structure-seq2 can lead to new biological insights. Our Structure-seq2 datasets uncover hidden breaks in chloroplast rRNA and identify a previously unreported N1-methyladenosine (m1A) in a nuclear-encoded Oryza sativa rRNA. Overall, Structure-seq2 is a rapid, sensitive, and unbiased method to probe RNA in vivo and genome-wide that facilitates new insights into RNA biology.

摘要

RNA在生物学中发挥着多种功能,如剪接、温度感应和固有免疫。这些功能通常由RNA的结构决定。因此,迫切需要了解RNA结构及其在体内和全基因组范围内不同生物过程中的变化情况。在此,我们介绍Structure-seq2,它能在体内和全基因组范围内提供核苷酸分辨率的RNA结构信息。我们原始的Structure-seq方法的这个优化版本将灵敏度提高了至少4倍,并通过最大限度减少有害副产物的形成、降低连接偏差和改善读数覆盖范围来提高数据质量。我们还介绍了Structure-seq2的一种变体,即在逆转录过程中掺入生物素化核苷酸,这通过省去两个聚丙烯酰胺凝胶电泳(PAGE)纯化步骤极大地简化了实验方案。我们在水稻(Oryza sativa)的mRNA和rRNA结构上对Structure-seq2进行了基准测试。我们证明Structure-seq2能带来新的生物学见解。我们的Structure-seq2数据集揭示了叶绿体rRNA中隐藏的断裂点,并在一个核编码的水稻rRNA中鉴定出一个先前未报道的N1-甲基腺苷(m1A)。总体而言,Structure-seq2是一种快速、灵敏且无偏差的方法,用于在体内和全基因组范围内探测RNA,有助于对RNA生物学有新的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3e4/5737731/e3bf0d2aa17e/gkx533fig1.jpg

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