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 se...

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Main Authors: Virginie Marchand, Florian Pichot, Kathrin Thüring, Lilia Ayadi, Isabel Freund, Alexander Dalpke, Mark Helm, Yuri Motorin
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Biomolecules
Subjects:
Online Access:http://www.mdpi.com/2218-273X/7/1/13
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spelling doaj-edf64eb77b2143c28ca5e3ae3724d0a02020-11-24T21:58:53ZengMDPI AGBiomolecules2218-273X2017-02-01711310.3390/biom7010013biom7010013Next‐Generation Sequencing‐Based RiboMethSeq  Protocol for Analysis of tRNA 2′‐O‐MethylationVirginie Marchand0Florian Pichot1Kathrin Thüring2Lilia Ayadi3Isabel Freund4Alexander Dalpke5Mark Helm6Yuri Motorin7IMoPA UMR7365 CNRS‐UL, Biopole Lorraine University, 54505 Vandoeuvre‐les‐Nancy, FranceIMoPA UMR7365 CNRS‐UL, Biopole Lorraine University, 54505 Vandoeuvre‐les‐Nancy, FranceInstitute of Pharmacy and Biochemistry, Johannes Gutenberg University Mainz, 55128 Mainz, GermanyIMoPA UMR7365 CNRS‐UL, Biopole Lorraine University, 54505 Vandoeuvre‐les‐Nancy, FranceDepartment of Infectious Diseases, Medical Microbiology and Hygiene, Ruprecht‐Karls University Heidelberg, 69120 Heidelberg, GermanyDepartment of Infectious Diseases, Medical Microbiology and Hygiene, Ruprecht‐Karls University Heidelberg, 69120 Heidelberg, GermanyInstitute of Pharmacy and Biochemistry, Johannes Gutenberg University Mainz, 55128 Mainz, GermanyIMoPA UMR7365 CNRS‐UL, Biopole Lorraine University, 54505 Vandoeuvre‐les‐Nancy, FranceAnalysis 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.http://www.mdpi.com/2218-273X/7/1/13tRNA 2′‐O‐methylation RiboMethSeq high‐throughput sequencing deleted strain  TrmH TRM3
collection DOAJ
language English
format Article
sources DOAJ
author Virginie Marchand
Florian Pichot
Kathrin Thüring
Lilia Ayadi
Isabel Freund
Alexander Dalpke
Mark Helm
Yuri Motorin
spellingShingle Virginie Marchand
Florian Pichot
Kathrin Thüring
Lilia Ayadi
Isabel Freund
Alexander Dalpke
Mark Helm
Yuri Motorin
Next‐Generation Sequencing‐Based RiboMethSeq  Protocol for Analysis of tRNA 2′‐O‐Methylation
Biomolecules
tRNA
 2′‐O‐methylation
 RiboMethSeq
 high‐throughput sequencing
 deleted strain
  TrmH
 TRM3
author_facet Virginie Marchand
Florian Pichot
Kathrin Thüring
Lilia Ayadi
Isabel Freund
Alexander Dalpke
Mark Helm
Yuri Motorin
author_sort Virginie Marchand
title 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_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_sort next‐generation sequencing‐based ribomethseq  protocol for analysis of trna 2′‐o‐methylation
publisher MDPI AG
series Biomolecules
issn 2218-273X
publishDate 2017-02-01
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.
topic tRNA
 2′‐O‐methylation
 RiboMethSeq
 high‐throughput sequencing
 deleted strain
  TrmH
 TRM3
url http://www.mdpi.com/2218-273X/7/1/13
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