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Updated: Feb 3, 2026

2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications
Published on: July 10, 2020
AlkAniline-Seq: Profiling of m7 G and m3 C RNA Modifications at Single Nucleotide Resolution
Virginie Marchand1, Lilia Ayadi1,2, Felix G M Ernst3
1Lorraine University, UMS2008 IBSLor CNRS-UL-INSERM, Biopôle UL, 9, Avenue de la Forêt de Haye, 54505, Vandoeuvre-les-Nancy, France.
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 (m7 G) and 3-methylcytidine (m3 C) in RNA at single nucleotide resolution. As a proof-of-concept, we used AlkAniline-Seq to comprehensively validate known m7 G and m3 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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