6533b832fe1ef96bd129af07

RESEARCH PRODUCT

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

Kathrin ThüringYuri MotorinVirginie MarchandAlexander H. DalpkeLilia AyadiIsabel FreundFlorian PichotMark Helm

subject

0301 basic medicine2 -O-methylationSaccharomyces cerevisiaelcsh:QR1-502Biochemistrylcsh:MicrobiologyDNA sequencingdeleted strain03 medical and health sciences[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN] deleted strainTrmH 2′‐O‐methylationMolecular BiologytRNAIllumina dye sequencingRiboMethSeq TRM3Genetics RiboMethSeq030102 biochemistry & molecular biologybiologytRNA; 2′‐O‐methylation; RiboMethSeq; high‐throughput sequencing; deleted strain;  TrmH; TRM32'-O-methylationRNAhigh-throughput sequencing[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyMethylation  TrmHRibosomal RNAbiology.organism_classification030104 developmental biology high‐throughput sequencingTRM3Transfer RNA

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.

10.3390/biom7010013https://hal.univ-lorraine.fr/hal-01799272/document