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Data Analysis Pipeline for Detection and Quantification of Pseudouridine (ψ) in RNA by HydraPsiSeq.
Pichot, Florian; Marchand, Virginie; Helm, Mark; Motorin, Yuri.
Affiliation
  • Pichot F; Institute of Pharmacy of Pharmacy and Biochemistry, Johannes Gutenberg University Mainz, Mainz, Germany.
  • Marchand V; Université de Lorraine, CNRS, INSERM, UAR2008/US40 IBSLor, EpiRNA-Seq Core facility, F-54000, Nancy, France.
  • Helm M; Université de Lorraine, CNRS, INSERM, UAR2008/US40 IBSLor, EpiRNA-Seq Core facility, F-54000, Nancy, France.
  • Motorin Y; Institute of Pharmacy of Pharmacy and Biochemistry, Johannes Gutenberg University Mainz, Mainz, Germany.
Methods Mol Biol ; 2624: 207-223, 2023.
Article in En | MEDLINE | ID: mdl-36723818
ABSTRACT
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 reported in tRNA, rRNA, and sn/snoRNA as well as in mRNA/lncRNA. Multiple analytical deep sequencing-based approaches have been proposed for pseudouridine detection and quantification, among which the most popular relies on the use of soluble carbodiimide (termed CMCT). Recently, we developed an alternative protocol for pseudouridine mapping and quantification. The principle is based on protection of pseudouridine against random RNA cleavage by hydrazine/aniline treatment (HydraPsiSeq protocol). This "negative" detection mode requires higher sequencing depth and provides a precise quantification of the pseudouridine content. All "wet-lab" technical details of the HydraPsiSeq protocol have been described in recent publications. Here, we describe all bioinformatics analysis steps required for data processing from raw reads to the pseudouridylation profile of known or unknown RNA.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA / RNA, Long Noncoding Type of study: Diagnostic_studies / Guideline Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Document type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA / RNA, Long Noncoding Type of study: Diagnostic_studies / Guideline Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Document type: Article Affiliation country: Germany