Literature DB >> 35042139

High-performance nano-flow liquid chromatography column combined with high- and low-collision energy data-independent acquisition enables targeted and discovery identification of modified ribonucleotides by mass spectrometry.

Guadalupe Espadas1, Julia Morales-Sanfrutos1, Rebeca Medina2, Morghan C Lucas1, Eva Maria Novoa1, Eduard Sabidó3.   

Abstract

Over 170 post-transcriptional RNA modifications have been described and are common in all kingdoms of life. These modifications range from methylation to complex chemical structures, with methylation being the most abundant. RNA modifications play a key role in RNA folding and function and their dysregulation in humans has been linked to several diseases such as cancer, metabolic diseases or neurological disorder. Nowadays, liquid chromatography-tandem mass spectrometry is considered the gold standard method for the identification and quantification of these modifications due to its sensitivity and accuracy. However, the analysis of modified ribonucleosides by mass spectrometry is complex due to the presence of positional isomers. In this scenario, optimal separation of these compounds by highly sensitive liquid chromatography combined with the generation of high-information spectra is critical to unequivocally identify them, especially in high-complex mixtures. Here we present an analytical method that comprises a new type of mixed-mode nano-flow liquid chromatography column combined with high- and low-collision energy data-independent mass spectrometric acquisition for the identification and quantitation of modified ribonucleosides. The method produces content-rich spectra and combines targeted and screening capabilities thus enabling the identification of a variety of modified nucleosides in biological matrices by single-shot liquid chromatographic analysis coupled to mass spectrometry.
Copyright © 2022. Published by Elsevier B.V.

Entities:  

Keywords:  Chromatography; Data-independent acquisition; Epitranscriptomics; Mass spectrometry; RNA; Ribonucleosides

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Year:  2022        PMID: 35042139     DOI: 10.1016/j.chroma.2022.462803

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  1 in total

1.  Data-Independent Acquisition for the Detection of Mononucleoside RNA Modifications by Mass Spectrometry.

Authors:  Kevin A Janssen; Yixuan Xie; Marianne C Kramer; Brian D Gregory; Benjamin A Garcia
Journal:  J Am Soc Mass Spectrom       Date:  2022-03-31       Impact factor: 3.262

  1 in total

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