Literature DB >> 27020891

Analysis of RNA modifications by liquid chromatography-tandem mass spectrometry.

Kathrin Thüring1, Katharina Schmid2, Patrick Keller3, Mark Helm4.   

Abstract

The analysis of RNA modifications is of high importance in order to address a wide range of biological questions. Therefore, a highly sensitive and accurate method such as liquid chromatography-tandem mass spectrometry (LC-MS/MS) has to be available. By using different LC-MS/MS procedures, it is not only possible to quantify very low amounts of RNA modifications, but also to detect probably unknown modified nucleosides. For these cases the dynamic multiple reaction monitoring and the neutral loss scan are the most common techniques. Here, we provide the whole workflow for analyzing RNA samples regarding their modification content. This includes an equipment list, the preparation of required solutions/enzymes and the creation of an internal standard or nucleoside stocks for internal or external calibration. Furthermore, we describe the preparation of RNA samples for the subsequent LC-MS/MS analysis and the corresponding analysis process.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  1-Methyladenosine (m(1)A); Dynamic multiple reaction monitoring; LC–MS/MS; Neutral loss scan; RNA modification

Mesh:

Substances:

Year:  2016        PMID: 27020891     DOI: 10.1016/j.ymeth.2016.03.019

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  27 in total

1.  Mapping of ribosomal 23S ribosomal RNA modifications in Clostridium sporogenes.

Authors:  Finn Kirpekar; Lykke H Hansen; Julie Mundus; Stine Tryggedsson; Patrícia Teixeira Dos Santos; Eleni Ntokou; Birte Vester
Journal:  RNA Biol       Date:  2018-08-13       Impact factor: 4.652

2.  Differentiating Positional Isomers of Nucleoside Modifications by Higher-Energy Collisional Dissociation Mass Spectrometry (HCD MS).

Authors:  Manasses Jora; Andrew P Burns; Robert L Ross; Peter A Lobue; Ruoxia Zhao; Cody M Palumbo; Peter A Beal; Balasubrahmanyam Addepalli; Patrick A Limbach
Journal:  J Am Soc Mass Spectrom       Date:  2018-06-12       Impact factor: 3.109

3.  RNA modifications stabilize the tertiary structure of tRNAfMet by locally increasing conformational dynamics.

Authors:  Thomas Biedenbänder; Vanessa de Jesus; Martina Schmidt-Dengler; Mark Helm; Björn Corzilius; Boris Fürtig
Journal:  Nucleic Acids Res       Date:  2022-02-28       Impact factor: 16.971

4.  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

Review 5.  Detection technologies for RNA modifications.

Authors:  Yan Zhang; Liang Lu; Xiaoyu Li
Journal:  Exp Mol Med       Date:  2022-10-21       Impact factor: 12.153

6.  m6A RNA methylation of major satellite repeat transcripts facilitates chromatin association and RNA:DNA hybrid formation in mouse heterochromatin.

Authors:  Katarzyna J Duda; Reagan W Ching; Lisa Jerabek; Nicholas Shukeir; Galina Erikson; Bettina Engist; Megumi Onishi-Seebacher; Valentina Perrera; Florian Richter; Gerhard Mittler; Katharina Fritz; Mark Helm; Philip Knuckles; Marc Bühler; Thomas Jenuwein
Journal:  Nucleic Acids Res       Date:  2021-06-04       Impact factor: 16.971

7.  Chemo-Enzymatic Modification of the 5' Cap Maintains Translation and Increases Immunogenic Properties of mRNA.

Authors:  Melissa van Dülmen; Nils Muthmann; Andrea Rentmeister
Journal:  Angew Chem Int Ed Engl       Date:  2021-05-06       Impact factor: 15.336

Review 8.  RNA 5-methylcytosine modification and its emerging role as an epitranscriptomic mark.

Authors:  Yaqi Gao; Jingyuan Fang
Journal:  RNA Biol       Date:  2021-07-21       Impact factor: 4.766

9.  Illumina-based RiboMethSeq approach for mapping of 2'-O-Me residues in RNA.

Authors:  Virginie Marchand; Florence Blanloeil-Oillo; Mark Helm; Yuri Motorin
Journal:  Nucleic Acids Res       Date:  2016-06-14       Impact factor: 16.971

10.  A Compositional Model to Predict the Aggregated Isotope Distribution for Average DNA and RNA Oligonucleotides.

Authors:  Annelies Agten; Piotr Prostko; Melvin Geubbelmans; Youzhong Liu; Thomas De Vijlder; Dirk Valkenborg
Journal:  Metabolites       Date:  2021-06-18
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