The Mass Spectrometry society of Japan - The 71st Annual Conference on Mass Spectrometry, Japan
Japanese

Abstract

Table of contents

Timetable

Plenary Lecture

Symposium Sessions (Day1, Day2, Day3)

Basic Sessions (Day1, Day2, Day3)

Young Researchers' Sessions (Day1, Day2, Day3)

Poster Presentations (Day1, Day2, Day3)

Special Evening Sessions

Corporate Program

Poster Presentations

Day 2, May 16（Tue.）　　Room P (Foyer, Room 1004-1007)

2P-47　　PDF

An algorithm for automated characterization of ribonuclease-digested messenger RNA using data-independent tandem mass spectrometry data

(1MKI, 2RIKEN CSRS, 3TMU, 4Waters - Milford, 5Waters - Wilmslow, 6Waters - S.A.S)
oYuki Matsubara1, Akari Ito1, Yasuto Yokoi1, Jonathan Fox5, Maissa Gaye4, Joe Fredette4, Guillaume Bechade6, Matthew Lauber4, Masami Koike2, Yuko Nobe3, Masato Taoka3, Hiroshi Nakayama2

The demand for the characterization of modified messenger (m)RNA is increasing with the development of mRNA therapeutics. An effective experimental technique for mRNA characterization is digestion with sequence-specific ribonuclease, such as RNase T1, followed by analysis of the digest by liquid chromatography (LC)-tandem mass spectrometry (MS/MS). Although digests are preferably analyzed one by one by data-dependent MS/MS acquisition (DDA), in such experiments some nucleotide ions are often missed by chance. In contrast, data-independent MS/MS acquisition (DIA) experiments allow all detected nucleotide ions to be captured in a one-shot analysis; however, there is no software tool for DIA data of RNA. Here, we propose a new algorithm for the characterization of long, modified RNAs using DIA MS/MS data.