0000000000010200

AUTHOR

Florian Pichot

showing 5 related works from this author

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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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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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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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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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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