Data Analysis Pipeline for Detection and Quantification of Pseudouridine (ψ) in RNA by HydraPsiSeq.
Florian PichotVirginie MarchandMark HelmMotorin YuriPublished in: Methods in molecular biology (Clifton, N.J.) (2023)
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.
Keyphrases
- data analysis
- randomized controlled trial
- loop mediated isothermal amplification
- real time pcr
- label free
- single cell
- nucleic acid
- bioinformatics analysis
- high resolution
- electronic health record
- big data
- machine learning
- transcription factor
- dna binding
- fluorescent probe
- liquid chromatography
- sensitive detection
- amino acid