0000000000010201

AUTHOR

Virginie Marchand

showing 27 related works from this author

Machine learning of reverse transcription signatures of variegated polymerases allows mapping and discrimination of methylated purines in limited tra…

2020

AbstractReverse transcription (RT) of RNA templates containing RNA modifications leads to synthesis of cDNA containing information on the modification in the form of misincorporation, arrest, or nucleotide skipping events. A compilation of such events from multiple cDNAs represents an RT-signature that is typical for a given modification, but, as we show here, depends also on the reverse transcriptase enzyme. A comparison of 13 different enzymes revealed a range of RT-signatures, with individual enzymes exhibiting average arrest rates between 20 and 75%, as well as average misincorporation rates between 30 and 75% in the read-through cDNA. Using RT-signatures from individual enzymes to trai…

AdenosineAcademicSubjects/SCI00010Machine learningcomputer.software_genre[SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyMethylationMachine Learning03 medical and health sciences0302 clinical medicineComplementary DNA[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsMolecular BiologyPolymerase030304 developmental biologychemistry.chemical_classification0303 health sciencesOligoribonucleotidesGuanosinebiologybusiness.industryRNA-Directed DNA PolymeraseRNARNA-Directed DNA Polymerase[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyReverse TranscriptionMethylationReverse transcriptaseEnzymechemistryTransfer RNAbiology.protein[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Artificial intelligenceTranscriptomebusinesscomputer030217 neurology & neurosurgery
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2'-O-methylation within prokaryotic and eukaryotic tRNA inhibits innate immune activation by endosomal Toll-like receptors but does not affect recogn…

2019

Bacterial RNA has emerged as an important activator of innate immune responses by stimulating Toll-like receptors TLR7 and TLR8 in humans. Guanosine 2′-O-methylation at position 18 (Gm18) in bacterial tRNA was shown to antagonize tRNA-induced TLR7/8 activation, suggesting a potential role of Gm18 as an immune escape mechanism. This modification also occurs in eukaryotic tRNA, yet a physiological immune function remained to be tested. We therefore set out to investigate the immune modulatory role of Gm18 in both prokaryotic and eukaryotic microorganisms, Escherichia coli and Saccharomyces cerevisiae, and in human cells. Using RiboMethSeq analysis we show that mutation of trmH in E. coli, trm…

0303 health sciencesTRNA modificationInnate immune system030302 biochemistry & molecular biologyRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyTLR7BiologyTLR8[SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyCell biology03 medical and health sciencesImmune system[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Transfer RNAGene expression[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Molecular BiologyComputingMilieux_MISCELLANEOUS030304 developmental biology
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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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Non-Redundant tRNA Reference Sequences for Deep Sequencing Analysis of tRNA Abundance and Epitranscriptomic RNA Modifications

2021

Analysis of RNA by deep-sequencing approaches has found widespread application in modern biology. In addition to measurements of RNA abundance under various physiological conditions, such techniques are now widely used for mapping and quantification of RNA modifications. Transfer RNA (tRNA) molecules are among the frequent targets of such investigation, since they contain multiple modified residues. However, the major challenge in tRNA examination is related to a large number of duplicated and point-mutated genes encoding those RNA molecules. Moreover, the existence of multiple isoacceptors/isodecoders complicates both the analysis and read mapping. Existing databases for tRNA sequencing pr…

0301 basic medicinelcsh:QH426-470ved/biology.organism_classification_rank.speciesComputational biologyBiology01 natural sciencesArticleDeep sequencingdeep sequencing03 medical and health sciencesRNA modificationsRNA Transferepitranscriptome[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Escherichia coliGeneticsModel organismtRNAGeneComputingMilieux_MISCELLANEOUSGenetics (clinical)Sequence Analysis RNA010405 organic chemistryved/biologyreference sequenceHigh-Throughput Nucleotide SequencingRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyquantification0104 chemical scienceslcsh:GeneticsRNA Bacterial030104 developmental biologyTransfer RNADatabases Nucleic AcidtRNA poolBacillus subtilisReference genomeGenes
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AlkAniline-Seq: A Highly Sensitive and Specific Method for Simultaneous Mapping of 7-Methyl-guanosine (m7G) and 3-Methyl-cytosine (m3C) in RNAs by Hi…

2021

Epitranscriptomics is an emerging field where the development of high-throughput analytical technologies is essential to profile the dynamics of RNA modifications under different conditions. Despite important advances during the last 10 years, the number of RNA modifications detectable by next-generation sequencing is restricted to a very limited subset. Here, we describe a highly efficient and fast method called AlkAniline-Seq to map simultaneously two different RNA modifications: 7-methyl-guanosine (m7G) and 3-methyl-cytosine (m3C) in RNA. Our protocol is based on three subsequent chemical/enzymatic steps allowing the enrichment of RNA fragments ending at position n + 1 to the modified nu…

chemistry.chemical_classification0303 health sciencesbiologyGuanosineRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyComputational biologybiology.organism_classificationYeastDNA sequencing03 medical and health scienceschemistry.chemical_compound0302 clinical medicineEnzymechemistry[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]EpitranscriptomicsNucleotideComputingMilieux_MISCELLANEOUS030217 neurology & neurosurgeryBacteria030304 developmental biology
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Die stark wachsende chemische Vielfalt der RNA-Modifikationen enthält eine Thioacetalstruktur

2018

0301 basic medicine03 medical and health sciences030104 developmental biologyChemistryGeneral MedicineMolecular biologyAngewandte Chemie
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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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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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Inside Cover: A Vastly Increased Chemical Variety of RNA Modifications Containing a Thioacetal Structure (Angew. Chem. Int. Ed. 26/2018)

2018

StereochemistryChemistryINTThioacetalRNACover (algebra)General ChemistryCatalysisAngewandte Chemie International Edition
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NOseq: amplicon sequencing evaluation method for RNA m6A sites after chemical deamination

2020

Abstract Methods for the detection of m6A by RNA-Seq technologies are increasingly sought after. We here present NOseq, a method to detect m6A residues in defined amplicons by virtue of their resistance to chemical deamination, effected by nitrous acid. Partial deamination in NOseq affects all exocyclic amino groups present in nucleobases and thus also changes sequence information. The method uses a mapping algorithm specifically adapted to the sequence degeneration caused by deamination events. Thus, m6A sites with partial modification levels of ∼50% were detected in defined amplicons, and this threshold can be lowered to ∼10% by combination with m6A immunoprecipitation. NOseq faithfully d…

AdenosineSequence analysisAcademicSubjects/SCI00010Bisulfite sequencingDeaminationAdenosine/analogs & derivatives; Adenosine/analysis; Algorithms; Animals; Chromatography Liquid; Deamination; Drosophila melanogaster/genetics; HEK293 Cells; HeLa Cells; High-Throughput Nucleotide Sequencing/methods; Humans; RNA/chemistry; RNA Long Noncoding/chemistry; RNA Messenger/chemistry; RNA Ribosomal 18S/chemistry; Sequence Alignment; Sequence Analysis RNA/methods; Tandem Mass SpectrometrySequence alignmentComputational biologyBiology010402 general chemistry[SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biology01 natural sciencesTranscriptome03 medical and health sciencesNarese/13Tandem Mass Spectrometry[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsRNA Ribosomal 18SAnimalsHumansRNA MessengerComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesSequence Analysis RNARNAHigh-Throughput Nucleotide Sequencing[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyAmpliconRibosomal RNA0104 chemical sciencesDrosophila melanogasterHEK293 CellsDeaminationMethods OnlineRNA[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]RNA Long NoncodingSequence AlignmentAlgorithmsChromatography LiquidHeLa Cells
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Double methylation of tRNA-U54 to 2′-O-methylthymidine (Tm) synergistically decreases immune response by Toll-like receptor 7

2018

Abstract Sensing of nucleic acids for molecular discrimination between self and non-self is a challenging task for the innate immune system. RNA acts as a potent stimulus for pattern recognition receptors including in particular human Toll-like receptor 7 (TLR7). Certain RNA modifications limit potentially harmful self-recognition of endogenous RNA. Previous studies had identified the 2′-O-methylation of guanosine 18 (Gm18) within tRNAs as an antagonist of TLR7 leading to an impaired immune response. However, human tRNALys3 was non-stimulatory despite lacking Gm18. To identify the underlying molecular principle, interferon responses of human peripheral blood mononuclear cells to differentia…

0301 basic medicineBiology[SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyMethylation03 medical and health sciencesRNA TransferInterferonNucleic Acids[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]RNA and RNA-protein complexesGeneticsmedicineHumansComputingMilieux_MISCELLANEOUSToll-like receptorInnate immune systemGuanosine030102 biochemistry & molecular biologyPattern recognition receptorRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyTLR7Immunity InnateCell biology030104 developmental biologyToll-Like Receptor 7Transfer RNALeukocytes MononuclearNucleic acid[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]InterferonsHydrogenThymidinemedicine.drug
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The ribose methylation enzyme FTSJ1 has a conserved role in neuron morphology and learning performance

2021

ABSTRACTFTSJ1 is a conserved human 2’-O-methyltransferase (Nm-MTase) that modifies several transfer RNAs (tRNAs) at position 32 and the wobble position 34 in the AntiCodon Loop (ACL). Its loss of function has been linked to Non-Syndromic X-Linked Intellectual Disability (NSXLID), and more recently to cancers. However, the molecular mechanisms underlying these pathologies are currently unclear. Here we report a novelFTSJ1pathogenic variant from a NSXLID patient. Using blood cells derived from this patient and other affected individuals carryingFTSJ1mutations, we performed an unbiased and comprehensive RiboMethSeq analysis to map the ribose methylation (Nm) on all human tRNAs and identify nov…

Transcriptomeeducation.field_of_studyNeuriteTransfer RNAmicroRNAPopulationMethylationBiologyeducationGeneLoss functionCell biology
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Analysis of pseudouridines and other RNA modifications using hydraPsiSeq protocol

2021

Detection of RNA modified nucleotides using deep sequencing can be performed by several approaches, including antibody-driven enrichment and natural or chemically induced RT signatures. However, only very few RNA modified nucleotides generate natural RT signatures and antibody-driven enrichment heavily depends on the quality of antibodies used and may be highly biased. Thus, the use of chemically-induced RT signatures is now considered as the most trusted experimental approach. In addition, the use of chemical reagents allows inclusion of simple "mock-treated" controls, to exclude spontaneous RT arrests, SNPs and other misincorporation-prone sites. Hydrazine is a well-known RNA-specific rea…

chemistry.chemical_classification0303 health sciencesNucleotidesSequence Analysis RNAChemistryRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyComputational biologyGeneral Biochemistry Genetics and Molecular BiologyDeep sequencing03 medical and health sciencesHydrazines0302 clinical medicineReagent[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]RNA modificationRNANucleotideRNA Processing Post-TranscriptionalMolecular BiologyPseudouridine030217 neurology & neurosurgeryComputingMilieux_MISCELLANEOUS030304 developmental biology
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Manganese Ions Individually Alter the Reverse Transcription Signature of Modified Ribonucleosides

2020

Reverse transcription of RNA templates containing modified ribonucleosides transfers modification-related information as misincorporations, arrest or nucleotide skipping events to the newly synthesized cDNA strand. The frequency and proportion of these events, merged from all sequenced cDNAs, yield a so-called RT signature, characteristic for the respective RNA modification and reverse transcriptase (RT). While known for DNA polymerases in so-called error-prone PCR, testing of four different RTs by replacing Mg2+ with Mn2+ in reaction buffer revealed the immense influence of manganese chloride on derived RT signatures, with arrest rates on m1A positions dropping from 82% down to 24%. Additi…

0301 basic medicinelcsh:QH426-470DNA polymerasechemistry.chemical_elementManganeseSaccharomyces cerevisiaeRT signature[SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biology01 natural sciencesArticle03 medical and health sciencesm1ARNA modificationsComplementary DNA[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsNucleotidem<sup>1</sup>ABase PairingGenetics (clinical)PolymeraseComputingMilieux_MISCELLANEOUSchemistry.chemical_classificationIonsManganesebiology010405 organic chemistryRNARNA-Directed DNA Polymerase[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyreverse transcriptionMolecular biologyReverse transcriptase0104 chemical scienceslcsh:Genetics030104 developmental biologyTemplatechemistrybiology.proteinRNA[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Ribonucleosidesmanganese chloride
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High-throughput sequencing for 1-methyladenosine (m1A) mapping in RNA

2016

Abstract Detection and mapping of modified nucleotides in RNAs is a difficult and laborious task. Several physico-chemical approaches based on differential properties of modified nucleotides can be used, however, most of these methods do not allow high-throughput analysis. Here we describe in details a method for mapping of rather common 1-methyladenosine (m1A) residues using high-throughput next generation sequencing (NGS). Since m1A residues block primer extension during reverse transcription (RT), the accumulation of abortive products as well as the nucleotide misincorporation can be detected in the sequencing data. The described library preparation protocol allows to capture both types …

0301 basic medicineAdenosineLibrary preparationSequencing dataBiologyGeneral Biochemistry Genetics and Molecular BiologyDNA sequencingPrimer extension03 medical and health sciencesComplementary DNANucleotideRNA Processing Post-Transcriptional[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biochemistry [q-bio.BM]Molecular BiologyComputingMilieux_MISCELLANEOUSGene LibraryGeneticschemistry.chemical_classificationRNAHigh-Throughput Nucleotide Sequencing[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyReverse transcriptase030104 developmental biologychemistryRNA[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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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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Balancing of mitochondrial translation through METTL8-mediated m3C modification of mitochondrial tRNAs.

2021

Mitochondria contain a specific translation machinery for the synthesis of mitochondria-encoded respiratory chain components. Mitochondrial tRNAs (mt-tRNAs) are also generated from the mitochondrial DNA and, similar to their cytoplasmic counterparts, are post-transcriptionally modified. Here, we find that the RNA methyltransferase METTL8 is a mitochondrial protein that facilitates 3-methyl-cytidine (m3C) methylation at position C32 of the mt-tRNASer(UCN) and mt-tRNAThr. METTL8 knockout cells show a reduction in respiratory chain activity, whereas overexpression increases activity. In pancreatic cancer, METTL8 levels are high, which correlates with lower patient survival and an enhanced resp…

0303 health sciencesMitochondrial DNAMitochondrial translationRespiratory chainTranslation (biology)[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyCell BiologyMethylationMitochondrionBiologyCell biology03 medical and health sciences0302 clinical medicineMitochondrial respiratory chain[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Mitochondrial ribosomeMettl8 ; Rna Modification ; M(3)c ; Mt-trna ; TranslationMolecular Biology030217 neurology & neurosurgeryComputingMilieux_MISCELLANEOUS030304 developmental biology
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Innentitelbild: Die stark wachsende chemische Vielfalt der RNA-Modifikationen enthält eine Thioacetalstruktur (Angew. Chem. 26/2018)

2018

ChemistryStereochemistryGeneral MedicineAngewandte Chemie
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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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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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A Vastly Increased Chemical Variety of RNA Modifications Containing a Thioacetal Structure

2018

International audience; Recently discovered new chemical entities in RNA modifications have involved surprising functional groups that enlarge the chemical space of RNA. Using LC-MS, we found over 100 signals of RNA constituents that contained a ribose moiety in tRNAs from E. coli. Feeding experiments with variegated stable isotope labeled compounds identified 37 compounds that are new structures of RNA modifications. One structure was elucidated by deuterium exchange and high-resolution mass spectrometry. The structure of msms2 i6 A (2-methylthiomethylenethio-N6-isopentenyl-adenosine) was confirmed by methione-D3 feeding experiments and by synthesis of the nucleobase. The msms2 i6 A contai…

0301 basic medicineStereochemistryThioacetal010402 general chemistry01 natural sciencesCatalysisNucleobaseisotope labelling03 medical and health scienceschemistry.chemical_compoundAcetalsRNA modificationsTandem Mass Spectrometry[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]RiboseEscherichia coliMoietySulfhydryl Compoundschemistry.chemical_classificationChemistrythioacetalsRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyGeneral Chemistryradical-SAM enzymesChemical space0104 chemical sciencesLC-MSRNA Bacterial030104 developmental biologyEnzymeNucleic Acid ConformationHydrogen–deuterium exchangeChromatography Liquid
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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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Absolute Quantifizierung nicht‐kodierender RNA‐Spezies mittels Mikroskala‐Thermophorese

2019

ChemistryGeneral MedicineAngewandte Chemie
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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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Entwicklung einer DNA-Polymerase für die direkte m6A-Sequenzierung

2017

Methoden zur Analyse von RNA-Modifikationen sind essenziell fur das Forschungsfeld der Epitranskriptomik. N6-Methyladenosin (m6A) ist die haufigste Modifikation in der mRNA von Saugetieren und erfullt Funktionen in der Regulation der Genexpression. Techniken zur Detektion dieser Modifikation basieren derzeit auf der Anreicherung von m6A-haltigen RNA-Fragmenten durch Antikorper. Dieser m6A-spezifische Schritt vor der Sequenzierung ist notig, da die Information uber die Modifikation wahrend der reversen Transkription (RT) geloscht wird. Um die Nachteile einer solchen indirekten Detektion zu uberwinden, haben wir uns zum Ziel gesetzt, neue DNA-Polymerasen zu entwickeln, die eine direkte m6A-Se…

0301 basic medicine03 medical and health sciences030104 developmental biologyGeneral Medicine010402 general chemistry01 natural sciences0104 chemical sciencesAngewandte Chemie
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Absolute quantification of noncoding RNA by microscale thermophoresis

2019

Abstract Accurate quantification of the copy numbers of noncoding RNA has recently emerged as an urgent problem, with impact on fields such as RNA modification research, tissue differentiation, and others. Herein, we present a hybridization‐based approach that uses microscale thermophoresis (MST) as a very fast and highly precise readout to quantify, for example, single tRNA species with a turnaround time of about one hour. We developed MST to quantify the effect of tRNA toxins and of heat stress and RNA modification on single tRNA species. A comparative analysis also revealed significant differences to RNA‐Seq‐based quantification approaches, strongly suggesting a bias due to tRNA modifica…

tRNA stabilityRNA UntranslatedAbsolute quantificationRNA Quantification | Hot PaperComputational biology010402 general chemistry01 natural sciencesCatalysis[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]RNA modification540 ChemistryhybridizationComputingMilieux_MISCELLANEOUS010405 organic chemistryChemistryMicroscale thermophoresisCommunicationRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyGeneral ChemistryRibosomal RNANon-coding RNAmicroscale thermophoresisCommunications0104 chemical sciencesTissue DifferentiationTransfer RNA570 Life sciences; biologyfluorescenceRNA quantification
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Illumina-based RiboMethSeq approach for mapping of 2'-O-Me residues in RNA

2016

International audience; 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 …

NucleotidesSequence Analysis RNAOligonucleotidesReproducibility of ResultsRNA FungalSaccharomyces cerevisiae22MethylationMethods OnlineRNA Small Nucleolar[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biochemistry [q-bio.BM]Gene Deletion[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyGene Library
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