State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China.
Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China.
Nat Nanotechnol. 2022 Sep;17(9):976-983. doi: 10.1038/s41565-022-01169-2. Epub 2022 Jul 18.
RNA modifications play critical roles in the regulation of various biological processes and are associated with many human diseases. Direct identification of RNA modifications by sequencing remains challenging, however. Nanopore sequencing is promising, but the current strategy is complicated by sequence decoding. Sequential nanopore identification of enzymatically cleaved nucleoside monophosphates may simultaneously provide accurate sequence and modification information. Here we show a phenylboronic acid-modified hetero-octameric Mycobacterium smegmatis porin A nanopore, with which direct distinguishing between monophosphates of canonical nucleosides, 5-methylcytidine, N-methyladenosine, N-methylguanosine, N-methyladenosine, inosine, pseudouridine and dihydrouridine was achieved. A custom machine learning algorithm, which reports an accuracy of 0.996, was also applied to the quantitative analysis of modifications in microRNA and natural transfer RNA. It is generally suitable for sensing of a variety of other nucleoside or nucleotide derivatives and may bring new insights to epigenetic RNA sequencing.
RNA 修饰在调节各种生物过程中起着关键作用,并且与许多人类疾病有关。然而,通过测序直接鉴定 RNA 修饰仍然具有挑战性。纳米孔测序很有前途,但目前的策略因测序解码而变得复杂。通过酶切核苷单磷酸的顺序纳米孔识别,可能同时提供准确的序列和修饰信息。在这里,我们展示了一种经苯硼酸修饰的异八聚体分枝杆菌 smegmatis 孔蛋白 A 纳米孔,它可以直接区分规范核苷、5-甲基胞嘧啶、N6-甲基腺苷、N2-甲基鸟苷、N6-甲基腺苷、肌苷、假尿嘧啶和二氢尿嘧啶的单磷酸。还应用了一种自定义机器学习算法,其准确率为 0.996,用于 microRNA 和天然转移 RNA 中修饰的定量分析。它通常适用于检测各种其他核苷或核苷酸衍生物,并可能为表观遗传学 RNA 测序带来新的见解。