Search Results - "Pichot, Florian"

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  1. 1

    RNA ribose methylation (2′-O-methylation): Occurrence, biosynthesis and biological functions by Ayadi, Lilia, Galvanin, Adeline, Pichot, Florian, Marchand, Virginie, Motorin, Yuri

    “…Methylation of riboses at 2′-OH group is one of the most common RNA modifications found in number of cellular RNAs from almost any species which belong to all…”
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    Journal Article
  2. 2

    HydraPsiSeq: a method for systematic and quantitative mapping of pseudouridines in RNA by Marchand, Virginie, Pichot, Florian, Neybecker, Paul, Ayadi, Lilia, Bourguignon-Igel, Valérie, Wacheul, Ludivine, Lafontaine, Denis L J, Pinzano, Astrid, Helm, Mark, Motorin, Yuri

    Published in Nucleic acids research (04-11-2020)
    “…Abstract Developing methods for accurate detection of RNA modifications remains a major challenge in epitranscriptomics. Next-generation sequencing-based…”
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  3. 3

    Holistic Optimization of Bioinformatic Analysis Pipeline for Detection and Quantification of 2'-O-Methylations in RNA by RiboMethSeq by Pichot, Florian, Marchand, Virginie, Ayadi, Lilia, Bourguignon-Igel, Valérie, Helm, Mark, Motorin, Yuri

    Published in Frontiers in genetics (13-02-2020)
    “…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…”
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  4. 4

    Next-Generation Sequencing-Based RiboMethSeq  Protocol for Analysis of tRNA 2'-O-Methylation by Marchand, Virginie, Pichot, Florian, Thüring, Kathrin, Ayadi, Lilia, Freund, Isabel, Dalpke, Alexander, Helm, Mark, Motorin, Yuri

    Published in Biomolecules (Basel, Switzerland) (09-02-2017)
    “…Analysis of RNA modifications by traditional physico-chemical approaches is labor  intensive,  requires  substantial  amounts  of  input  material  and  only …”
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  5. 5
  6. 6

    Machine learning algorithm for precise prediction of 2′-O-methylation (Nm) sites from experimental RiboMethSeq datasets by Pichot, Florian, Marchand, Virginie, Helm, Mark, Motorin, Yuri

    Published in Methods (San Diego, Calif.) (01-07-2022)
    “…•Improved mapping of 2′-O-methylated (Nm) and pseudouridine (ψ) residues by RiboMethSeq.•Random Forest (RF) model including scores for neighboring positions…”
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    Journal Article
  7. 7

    Non-Redundant tRNA Reference Sequences for Deep Sequencing Analysis of tRNA Abundance and Epitranscriptomic RNA Modifications by Pichot, Florian, Marchand, Virginie, Helm, Mark, Motorin, Yuri

    Published in Genes (10-01-2021)
    “…Analysis of RNA by deep-sequencing approaches has found widespread application in modern biology. In addition to measurements of RNA abundance under various…”
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  8. 8

    Data Analysis Pipeline for Detection and Quantification of Pseudouridine (ψ) in RNA by HydraPsiSeq by Pichot, Florian, Marchand, Virginie, Helm, Mark, Motorin, Yuri

    “…Pseudouridine, a modified RNA residue formed by the isomerization of its parental U nucleotide, is prevalent in a majority of cellular RNAs; its presence was…”
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    NOseq: amplicon sequencing evaluation method for RNA m6A sites after chemical deamination by Werner, Stephan, Galliot, Aurellia, Pichot, Florian, Kemmer, Thomas, Marchand, Virginie, Sednev, Maksim V, Lence, Tina, Roignant, Jean-Yves, König, Julian, Höbartner, Claudia, Motorin, Yuri, Hildebrandt, Andreas, Helm, Mark

    Published in Nucleic acids research (26-02-2021)
    “…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…”
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    Journal Article