核糖核酸
核酶
计算生物学
适配器(计算)
核苷酸
生物
深度测序
转录组
化学
基因
分子生物学
基因表达
遗传学
计算机科学
操作系统
基因组
作者
Virginie Marchand,Lilia Ayadi,Felix G.M. Ernst,Jasmin Hertler,Valérie Bourguignon‐Igel,Adeline Galvanin,Annika Kötter,Mark Helm,Denis L. J. Lafontaine,Yuri Motorin
标识
DOI:10.1002/anie.201810946
摘要
Abstract RNA modifications play essential roles in gene expression regulation. Only seven out of >150 known RNA modifications are detectable transcriptome‐wide by deep sequencing. Here we describe a new principle of RNAseq library preparation, which relies on a chemistry based positive enrichment of reads in the resulting libraries, and therefore leads to unprecedented signal‐to‐noise ratios. The proposed approach eschews conventional RNA sequencing chemistry and rather exploits the generation of abasic sites and subsequent aniline cleavage. The newly generated 5′‐phosphates are used as unique entry for ligation of an adapter in library preparation. This positive selection, embodied in the AlkAniline‐Seq, enables a deep sequencing‐based technology for the simultaneous detection of 7‐methylguanosine (m 7 G) and 3‐methylcytidine (m 3 C) in RNA at single nucleotide resolution. As a proof‐of‐concept, we used AlkAniline‐Seq to comprehensively validate known m 7 G and m 3 C sites in bacterial, yeast, and human cytoplasmic and mitochondrial tRNAs and rRNAs, as well as for identifying previously unmapped positions.
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