Search results for "2'-O-methylation"

showing 8 items of 8 documents

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

2017

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 condi…

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
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Identification of an optimized 2′-O-methylated trinucleotide RNA motif inhibiting Toll-like receptors 7 and 8

2017

Bacterial RNA serves an important function as activator of the innate immune system. In humans bacterial RNA is sensed by the endosomal receptors TLR7 and TLR8. Differences in the posttranscriptional modification profile of prokaryotic when compared with eukaryotic RNA allow innate immune cells to discriminate between “host” and “foreign” RNA. Ribose 2′-O-methylation is of particular importance and has been reported to antagonize TLR7/8 activation. Yet, the exact sequence context in which 2′-O-methylation has to occur to mediate its inhibitory activity remains largely undefined. On the basis of a naturally occurring 2′-O-methylated RNA sequence, we performed a systematic permutation of the …

0301 basic medicineCytidineBiologyBioinformaticsMethylationInhibitory Concentration 5003 medical and health scienceschemistry.chemical_compound0302 clinical medicineRNA TransferReportRiboseHumansNucleotideNucleotide MotifsMolecular Biologychemistry.chemical_classificationInnate immune systemNucleotides2'-O-methylationRNATLR7TLR8Cell biologyRNA Bacterial030104 developmental biologyToll-Like Receptor 7chemistryToll-Like Receptor 8MutationLeukocytes MononuclearNucleic acidRNA030215 immunologyRNA
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2016

RNA 2'-O-methylation is one of the ubiquitous nucleotide modifications found in many RNA types from Bacteria, Archaea and Eukarya. RNAs bearing 2'-O-methylations show increased resistance to degradation and enhanced stability in helices. While the exact role of each 2'-O-Me residue remained elusive, the catalytic protein Fibrillarin (Nop1 in yeast) responsible for 2'-O-methylation in eukaryotes, is associated with human pathologies. Therefore, there is an urgent need to precisely map and quantify hundreds of 2'-O-Me residues in RNA using high-throughput technologies. Here, we develop a reliable protocol using alkaline fragmentation of total RNA coupled to a commonly used ligation approach, …

0301 basic medicineGenetics2'-O-methylation5.8S ribosomal RNARNAComputational biologyRNA integrity numberBiologyRibosomal RNA03 medical and health sciences030104 developmental biology0302 clinical medicineRNA editing030220 oncology & carcinogenesisGeneticsRNA extractionIllumina dye sequencingNucleic Acids Research
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MODOMICS: a database of RNA modification pathways. 2017 update

2017

Abstract MODOMICS is a database of RNA modifications that provides comprehensive information concerning the chemical structures of modified ribonucleosides, their biosynthetic pathways, the location of modified residues in RNA sequences, and RNA-modifying enzymes. In the current database version, we included the following new features and data: extended mass spectrometry and liquid chromatography data for modified nucleosides; links between human tRNA sequences and MINTbase - a framework for the interactive exploration of mitochondrial and nuclear tRNA fragments; new, machine-friendly system of unified abbreviations for modified nucleoside names; sets of modified tRNA sequences for two bact…

0301 basic medicineRNA methylationBiologycomputer.software_genreMass Spectrometry03 medical and health scienceschemistry.chemical_compound0302 clinical medicineRNA TransferEpitranscriptomicsTerminology as TopicRNA modificationDatabases GeneticGeneticsDatabase IssueHumanschemistry.chemical_classificationDatabase2'-O-methylationRNA030104 developmental biologyEnzymechemistry030220 oncology & carcinogenesisTransfer RNARNARibonucleosidesN6-MethyladenosinecomputerChromatography LiquidNucleic Acids Research
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Holistic Optimization of Bioinformatic Analysis Pipeline for Detection and Quantification of 2′-O-Methylations in RNA by RiboMethSeq

2020

International audience; A major trend in the epitranscriptomics field over the last 5 years has been the high-throughput analysis of RNA modifications by a combination of specific chemical treatment(s), followed by library preparation and deep sequencing. Multiple protocols have been described for several important RNA modifications, such as 5-methylcytosine (m5C), pseudouridine (ψ), 1-methyladenosine (m1A), and 2'-O-methylation (Nm). One commonly used method is the alkaline cleavage-based RiboMethSeq protocol, where positions of reads' 5'-ends are used to distinguish nucleotides protected by ribose methylation. This method was successfully applied to detect and quantify Nm residues in vari…

0301 basic medicinebioinformatic pipelinelcsh:QH426-470Computer scienceComputational biologyDeep sequencingPseudouridine03 medical and health scienceschemistry.chemical_compound0302 clinical medicine[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]ribose methylationEpitranscriptomicsGeneticsGenetics (clinical)receiver operating characteristic2'-O-methylation2′-O-methylationhigh-throughput sequencingRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyBrief Research Reportlcsh:Genetics030104 developmental biologychemistry030220 oncology & carcinogenesisTransfer RNARNAMolecular MedicineSmall nuclear RNAReference genomeFrontiers in Genetics
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High-Throughput Mapping of 2′-O-Me Residues in RNA Using Next-Generation Sequencing (Illumina RiboMethSeq Protocol)

2017

Detection of RNA modifications in native RNAs is a tedious and laborious task, since the global level of these residues is low and most of the suitable physico-chemical methods require purification of the RNA of interest almost to homogeneity. To overcome these limitations, methods based on RT-driven primer extension have been developed and successfully used, sometimes in combination with a specific chemical treatment. Nowadays, some of these approaches have been coupled to high-throughput sequencing technologies, allowing the access to transcriptome-wide data. RNA 2'-O-methylation is one of the ubiquitous nucleotide modifications found in many RNA types from bacteria, archaea, and eukarya.…

0301 basic medicinechemistry.chemical_classificationbiologyComputer science2'-O-methylationRNAComputational biology010402 general chemistrybiology.organism_classification01 natural sciencesPrimer extensionDNA sequencing0104 chemical sciences03 medical and health sciences030104 developmental biologychemistryRNA modificationDECIPHERNucleotideLigationProtocol (object-oriented programming)Throughput (business)Illumina dye sequencingBacteriaArchaea
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2020

Abstract RNA modifications are a well-recognized way of gene expression regulation at the post-transcriptional level. Despite the importance of this level of regulation, current knowledge on modulation of tRNA modification status in response to stress conditions is far from being complete. While it is widely accepted that tRNA modifications are rather dynamic, such variations are mostly assessed in terms of total tRNA, with only a few instances where changes could be traced to single isoacceptor species. Using Escherichia coli as a model system, we explored stress-induced modulation of 2′-O-methylations in tRNAs by RiboMethSeq. This analysis and orthogonal analytical measurements by LC-MS s…

Regulation of gene expression0303 health sciencesTRNA modification2'-O-methylation030302 biochemistry & molecular biologyMutantSwarming motilityRNAMethylationBiologyCell biology03 medical and health sciencesTransfer RNAGenetics030304 developmental biologyNucleic Acids Research
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Mapping and Quantification of tRNA 2′-O-Methylation by RiboMethSeq

2018

Current development of epitranscriptomics field requires efficient experimental protocols for precise mapping and quantification of various modified nucleotides in RNA. Despite important advances in the field during the last 10 years, this task is still extremely laborious and time-consuming, even when high-throughput analytical approaches are employed. Moreover, only a very limited subset of RNA modifications can be detected and only rarely be quantified by these powerful techniques. In the past, we developed and successfully applied alkaline fragmentation-based RiboMethSeq approach for mapping and precise quantification of multiple 2'-O-methylation residues in ribosomal RNA. Here we descr…

chemistry.chemical_classification0303 health sciencesTRNA modificationChemistry2'-O-methylationRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyComputational biologyRibosomal RNADNA sequencing03 medical and health sciences0302 clinical medicine030220 oncology & carcinogenesisEpitranscriptomics[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Transfer RNANucleotideComputingMilieux_MISCELLANEOUS030304 developmental biology
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