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BID-seq for transcriptome-wide quantitative sequencing of mRNA pseudouridine at base resolution
Li-Sheng Zhang1,2,3,4, Chang Ye1,2, Cheng-Wei Ju2,5
1Department of Chemistry, The University of Chicago, Chicago, IL, USA.
Nature Protocols
|November 15, 2023
Summary
Pseudouridine (Ψ) mapping in mRNA is now quantitative. Our optimized bisulfite-induced deletion sequencing (BID-seq) method rapidly identifies thousands of Ψ sites in mammalian mRNA with single-base resolution.
Area of Science:
- Molecular Biology
- Epigenetics
- RNA Modifications
Background:
- Pseudouridine (Ψ) is a prevalent RNA modification found in various RNA types, including mRNA.
- Functional studies of mRNA Ψ in mammals are limited by the absence of precise quantitative detection methods.
- Existing methods lack the base-pair resolution required for comprehensive Ψ mapping.
Purpose of the Study:
- To present an optimized bisulfite-induced deletion sequencing (BID-seq) protocol for quantitative mapping of Ψ distribution in cellular mRNAs.
- To enable high-resolution transcriptome-wide profiling of mRNA pseudouridylation.
- To provide a user-friendly data analysis pipeline for Ψ site detection and quantification.
Main Methods:
- Developed an optimized BID-seq protocol with streamlined library preparation and data analysis.
- Ensured high deletion ratios at Ψ sites while minimizing background deletions at unmodified uridines.
- Utilized next-generation sequencing (NGS) for transcriptome-wide Ψ profiling.
Main Results:
- The optimized BID-seq protocol is highly reproducible and sensitive, requiring as little as 10 ng of polyA+ RNA.
- Successfully identified 8,407 Ψ sites in mouse embryonic stem cells.
- The associated BID-pipe software facilitates Ψ site detection and stoichiometry quantification.
Conclusions:
- The optimized BID-seq protocol offers a robust, rapid, and quantitative method for mapping mRNA pseudouridylation.
- This workflow significantly advances the study of mRNA Ψ modifications and their functional roles in mammals.
- The protocol and analysis pipeline are accessible to researchers with basic molecular biology and bioinformatics skills.
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