Cargando…

Next-Generation Sequencing-Based RiboMethSeq Protocol for Analysis of tRNA 2′-O-Methylation

Analysis of RNA modifications by traditional physico-chemical approaches is labor intensive, requires substantial amounts of input material and only allows site-by-site measurements. The recent development of qualitative and quantitative approaches based on next-generation sequencing (NGS) opens new...

Descripción completa

Detalles Bibliográficos
Autores principales: Marchand, Virginie, Pichot, Florian, Thüring, Kathrin, Ayadi, Lilia, Freund, Isabel, Dalpke, Alexander, Helm, Mark, Motorin, Yuri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372725/
https://www.ncbi.nlm.nih.gov/pubmed/28208788
http://dx.doi.org/10.3390/biom7010013
_version_ 1782518678631219200
author Marchand, Virginie
Pichot, Florian
Thüring, Kathrin
Ayadi, Lilia
Freund, Isabel
Dalpke, Alexander
Helm, Mark
Motorin, Yuri
author_facet Marchand, Virginie
Pichot, Florian
Thüring, Kathrin
Ayadi, Lilia
Freund, Isabel
Dalpke, Alexander
Helm, Mark
Motorin, Yuri
author_sort Marchand, Virginie
collection PubMed
description Analysis of RNA modifications by traditional physico-chemical approaches is labor intensive, requires substantial amounts of input material and only allows site-by-site measurements. The recent development of qualitative and quantitative approaches based on next-generation sequencing (NGS) opens new perspectives for the analysis of various cellular RNA species. The Illumina sequencing-based RiboMethSeq protocol was initially developed and successfully applied for mapping of ribosomal RNA (rRNA) 2′-O-methylations. This method also gives excellent results in the quantitative analysis of rRNA modifications in different species and under varying growth conditions. However, until now, RiboMethSeq was only employed for rRNA, and the whole sequencing and analysis pipeline was only adapted to this long and rather conserved RNA species. A deep understanding of RNA modification functions requires large and global analysis datasets for other important RNA species, namely for transfer RNAs (tRNAs), which are well known to contain a great variety of functionally-important modified residues. Here, we evaluated the application of the RiboMethSeq protocol for the analysis of tRNA 2′-O-methylation in Escherichia coli and in Saccharomyces cerevisiae. After a careful optimization of the bioinformatic pipeline, RiboMethSeq proved to be suitable for relative quantification of methylation rates for known modified positions in different tRNA species.
format Online
Article
Text
id pubmed-5372725
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-53727252017-04-21 Next-Generation Sequencing-Based RiboMethSeq Protocol for Analysis of tRNA 2′-O-Methylation Marchand, Virginie Pichot, Florian Thüring, Kathrin Ayadi, Lilia Freund, Isabel Dalpke, Alexander Helm, Mark Motorin, Yuri Biomolecules Article Analysis of RNA modifications by traditional physico-chemical approaches is labor intensive, requires substantial amounts of input material and only allows site-by-site measurements. The recent development of qualitative and quantitative approaches based on next-generation sequencing (NGS) opens new perspectives for the analysis of various cellular RNA species. The Illumina sequencing-based RiboMethSeq protocol was initially developed and successfully applied for mapping of ribosomal RNA (rRNA) 2′-O-methylations. This method also gives excellent results in the quantitative analysis of rRNA modifications in different species and under varying growth conditions. However, until now, RiboMethSeq was only employed for rRNA, and the whole sequencing and analysis pipeline was only adapted to this long and rather conserved RNA species. A deep understanding of RNA modification functions requires large and global analysis datasets for other important RNA species, namely for transfer RNAs (tRNAs), which are well known to contain a great variety of functionally-important modified residues. Here, we evaluated the application of the RiboMethSeq protocol for the analysis of tRNA 2′-O-methylation in Escherichia coli and in Saccharomyces cerevisiae. After a careful optimization of the bioinformatic pipeline, RiboMethSeq proved to be suitable for relative quantification of methylation rates for known modified positions in different tRNA species. MDPI 2017-02-09 /pmc/articles/PMC5372725/ /pubmed/28208788 http://dx.doi.org/10.3390/biom7010013 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marchand, Virginie
Pichot, Florian
Thüring, Kathrin
Ayadi, Lilia
Freund, Isabel
Dalpke, Alexander
Helm, Mark
Motorin, Yuri
Next-Generation Sequencing-Based RiboMethSeq Protocol for Analysis of tRNA 2′-O-Methylation
title Next-Generation Sequencing-Based RiboMethSeq Protocol for Analysis of tRNA 2′-O-Methylation
title_full Next-Generation Sequencing-Based RiboMethSeq Protocol for Analysis of tRNA 2′-O-Methylation
title_fullStr Next-Generation Sequencing-Based RiboMethSeq Protocol for Analysis of tRNA 2′-O-Methylation
title_full_unstemmed Next-Generation Sequencing-Based RiboMethSeq Protocol for Analysis of tRNA 2′-O-Methylation
title_short Next-Generation Sequencing-Based RiboMethSeq Protocol for Analysis of tRNA 2′-O-Methylation
title_sort next-generation sequencing-based ribomethseq protocol for analysis of trna 2′-o-methylation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372725/
https://www.ncbi.nlm.nih.gov/pubmed/28208788
http://dx.doi.org/10.3390/biom7010013
work_keys_str_mv AT marchandvirginie nextgenerationsequencingbasedribomethseqprotocolforanalysisoftrna2omethylation
AT pichotflorian nextgenerationsequencingbasedribomethseqprotocolforanalysisoftrna2omethylation
AT thuringkathrin nextgenerationsequencingbasedribomethseqprotocolforanalysisoftrna2omethylation
AT ayadililia nextgenerationsequencingbasedribomethseqprotocolforanalysisoftrna2omethylation
AT freundisabel nextgenerationsequencingbasedribomethseqprotocolforanalysisoftrna2omethylation
AT dalpkealexander nextgenerationsequencingbasedribomethseqprotocolforanalysisoftrna2omethylation
AT helmmark nextgenerationsequencingbasedribomethseqprotocolforanalysisoftrna2omethylation
AT motorinyuri nextgenerationsequencingbasedribomethseqprotocolforanalysisoftrna2omethylation