Search results for "Epitranscriptomics"

showing 10 items of 12 documents

Engineering of a DNA Polymerase for Direct m6A Sequencing

2017

Methods for the detection of RNA modifications are of fundamental importance for advancing epitranscriptomics. N6-methyladenosine (m6A) is the most abundant RNA modification in mammalian mRNA and is involved in the regulation of gene expression. Current detection techniques are laborious and rely on antibody-based enrichment of m6A-containing RNA prior to sequencing, since m6A modifications are generally "erased" during reverse transcription (RT). To overcome the drawbacks associated with indirect detection, we aimed to generate novel DNA polymerase variants for direct m6A sequencing. Therefore, we developed a screen to evolve an RT-active KlenTaq DNA polymerase variant that sets a mark for…

0301 basic medicineAdenosineRNA-dependent RNA polymeraseDNA-Directed DNA Polymerase010402 general chemistryProtein Engineering01 natural sciencesCatalysis03 medical and health sciencesDNA polymerasesSequencing by hybridization[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYRNA polymerase IRNA MessengerPolymerasebiologyOligonucleotideN6-methyladenosineReverse Transcriptase Polymerase Chain ReactionCommunicationMultiple displacement amplificationHigh-Throughput Nucleotide Sequencing[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyGeneral ChemistryDNA MethylationRNA modificationMolecular biologyReverse transcriptaseCommunications0104 chemical sciencesSequencing by ligationenzyme engineering030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONddc:540biology.proteinepitranscriptomicsRNA Methylation
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AlkAniline-Seq: Profiling of m7 G and m3 C RNA Modifications at Single Nucleotide Resolution.

2018

RNA modifications play essential roles in gene expression regulation. Only seven out of >150 known RNA modifications are detectable transcriptome-wide by deep sequencing. Here we describe a new principle of RNAseq library preparation, which relies on a chemistry based positive enrichment of reads in the resulting libraries, and therefore leads to unprecedented signal-to-noise ratios. The proposed approach eschews conventional RNA sequencing chemistry and rather exploits the generation of abasic sites and subsequent aniline cleavage. The newly generated 5'-phosphates are used as unique entry for ligation of an adapter in library preparation. This positive selection, embodied in the AlkAnilin…

0301 basic medicineComputational biologyCatalysisDeep sequencing03 medical and health sciencesdeep sequencingAdapter (genetics)[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Epitranscriptomicsabasic siteNucleotideAP siteComputingMilieux_MISCELLANEOUSchemistry.chemical_classificationRegulation of gene expressionChemistryRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyGeneral ChemistryMethylationSciences bio-médicales et agricolesRNA modification3. Good health030104 developmental biologymethylationepitranscriptomics
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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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Graphical Workflow System for Modification Calling by Machine Learning of Reverse Transcription Signatures

2019

Modification mapping from cDNA data has become a tremendously important approach in epitranscriptomics. So-called reverse transcription signatures in cDNA contain information on the position and nature of their causative RNA modifications. Data mining of, e.g. Illumina-based high-throughput sequencing data, is therefore fast growing in importance, and the field is still lacking effective tools. Here we present a versatile user-friendly graphical workflow system for modification calling based on machine learning. The workflow commences with a principal module for trimming, mapping, and postprocessing. The latter includes a quantification of mismatch and arrest rates with single-nucleotide re…

0301 basic medicinelcsh:QH426-470Downstream (software development)Computer scienceRT signatureMachine learningcomputer.software_genre[SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyField (computer science)m1A03 medical and health sciencesRNA modifications0302 clinical medicineEpitranscriptomics[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsTechnology and CodeGalaxy platformGenetics (clinical)ComputingMilieux_MISCELLANEOUSbusiness.industryPrincipal (computer security)[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyAutomationWatson–Crick faceVisualizationlcsh:Geneticsmachine learningComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyWorkflow030220 oncology & carcinogenesisMolecular Medicine[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]TrimmingArtificial intelligencebusinesscomputer
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2020

AbstractDeveloping methods for accurate detection of RNA modifications remains a major challenge in epitranscriptomics. Next-generation sequencing-based mapping approaches have recently emerged but, often, they are not quantitative and lack specificity. Pseudouridine (ψ), produced by uridine isomerization, is one of the most abundant RNA modification. ψ mapping classically involves derivatization with soluble carbodiimide (CMCT), which is prone to variation making this approach only semi-quantitative. Here, we developed ‘HydraPsiSeq’, a novel quantitative ψ mapping technique relying on specific protection from hydrazine/aniline cleavage. HydraPsiSeq is quantitative because the obtained sign…

0303 health sciencesSequence analysisRNAComputational biologyRibosomal RNABiologyCleavage (embryo)UridineIn vitroPseudouridine03 medical and health scienceschemistry.chemical_compound0302 clinical medicinechemistryEpitranscriptomicsGenetics030217 neurology & neurosurgery030304 developmental biologyNucleic Acids Research
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Detecting RNA modifications in the epitranscriptome: predict and validate

2017

RNA modifications are emerging players in the field of post-transcriptional regulation of gene expression, and are attracting a comparable degree of research interest to DNA and histone modifications in the field of epigenetics. We now know of more than 150 RNA modifications and the true potential of a few of these is currently emerging as the consequence of a leap in detection technology, principally associated with high-throughput sequencing. This Review outlines the major developments in this field through a structured discussion of detection principles, lays out advantages and drawbacks of new high-throughput methods and presents conventional biophysical identification of modifications …

Epigenomics0301 basic medicineComputational biologyBiologyEpigenesis Genetic03 medical and health sciences0302 clinical medicine[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]EpitranscriptomicsGeneticsAnimalsHumansEpigeneticsRNA Processing Post-TranscriptionalMolecular BiologyComputingMilieux_MISCELLANEOUSGenetics (clinical)GeneticsRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyGene Expression RegulationRNAIdentification (biology)Transcriptome030217 neurology & neurosurgeryNature Reviews Genetics
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Positioning Europe for the EPITRANSCRIPTOMICS challenge

2018

WOS: 000444092300018 PubMed ID: 29671387 The genetic alphabet consists of the four letters: C, A, G, and T in DNA and C,A,G, and U in RNA. Triplets of these four letters jointly encode 20 different amino acids out of which proteins of all organisms are built. This system is universal and is found in all kingdoms of life. However, bases in DNA and RNA can be chemically modified. In DNA, around 10 different modifications are known, and those have been studied intensively over the past 20years. Scientific studies on DNA modifications and proteins that recognize them gave rise to the large field of epigenetic and epigenomic research. The outcome of this intense research field is the discovery t…

Epigenomics0301 basic medicine[SDV]Life Sciences [q-bio]Gene ExpressionDetection of RNA ModificationEpigenesis GeneticTranscriptomechemistry.chemical_compoundEcologyEvolution & EthologyNeoplasmsRNA NeoplasmEuropean FundingComputingMilieux_MISCELLANEOUSRNA Neoplasm/geneticsEpitranscriptomicsEpigenomicsStem CellsDNA NeoplasmNeoplasms/genetics[SDV] Life Sciences [q-bio]EuropeGene Expression Regulation NeoplasticDetection of RNA modificationGenetics & GenomicsComputational biologyBiologyBiochemistry & ProteomicsENCODE03 medical and health sciencesEpigenomics/standardsEpitranscriptomicsModel systemsHumansEpigeneticsDatabase of ModificationDNA Neoplasm/geneticsMolecular BiologyComputational & Systems BiologyEuropean funding[SDV.GEN]Life Sciences [q-bio]/GeneticsGene Expression ProfilingFOS: Clinical medicineNeurosciencesModel SystemsRNACell Biology030104 developmental biologychemistryGene Expression Profiling/methodsAlphabetTranscriptomeDNARNA Biology
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MODOMICS: a database of RNA modification pathways—2013 update

2012

MODOMICS is a database of RNA modifications that provides comprehensive information concerning the chemical structures of modified ribonucleosides, their biosynthetic pathways, RNA-modifying enzymes and location of modified residues in RNA sequences. In the current database version, accessible at http://modomics.genesilico.pl, we included new features: a census of human and yeast snoRNAs involved in RNA-guided RNA modification, a new section covering the 5′-end capping process, and a catalogue of ‘building blocks’ for chemical synthesis of a large variety of modified nucleosides. The MODOMICS collections of RNA modifications, RNA-modifying enzymes and modified RNAs have been also updated. A…

TRNA modificationSequence analysisBiologycomputer.software_genre03 medical and health sciences0302 clinical medicineRNA Small NuclearEpitranscriptomicsGeneticsHumansRNA Small NucleolarRNA Processing Post-TranscriptionalSmall nucleolar RNA030304 developmental biologyGeneticsInternet0303 health sciencesDatabaseSequence Analysis RNAMRNA modificationRNAArticlesRibosomal RNAEnzymes3. Good healthTransfer RNARNADatabases Nucleic Acidcomputer030217 neurology & neurosurgeryNucleic Acids Research
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Mapping of 7-methylguanosine (m7G), 3-methylcytidine (m3C), dihydrouridine (D) and 5-hydroxycytidine (ho5C) RNA modifications by AlkAniline-Seq

2021

Precise and reliable mapping of modified nucleotides in RNA is a challenging task in epitranscriptomics analysis. Only deep sequencing-based methods are able to provide both, a single-nucleotide resolution and sufficient selectivity and sensitivity. A number of protocols employing specific chemical reagents to distinguish modified RNA nucleotides from canonical parental residues have already proven their performance. We developed a deep-sequencing analytical pipeline for simultaneous detection of several modified nucleotides of different nature (methylation, hydroxylation, reduction) in RNA. The AlkAniline-Seq protocol uses intrinsic fragility of the N-glycosidic bond present in certain mod…

chemistry.chemical_classification0303 health sciences7-Methylguanosine030302 biochemistry & molecular biologyRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyRibosomal RNADeep sequencing03 medical and health scienceschemistry.chemical_compoundchemistryBiochemistryEpitranscriptomics[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Transfer RNANucleotideDihydrouridineComputingMilieux_MISCELLANEOUS030304 developmental biology
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