Ritchey Laura E, Su Zhao, Tang Yin, Tack David C, Assmann Sarah M, Bevilacqua Philip C
Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA.
Center for RNA Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA.
Nucleic Acids Res. 2017 Aug 21;45(14):e135. doi: 10.1093/nar/gkx533.
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.
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。