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Nucleotide resolution profiling of m7G tRNA modification by TRAC-Seq
Shuibin Lin1, Qi Liu2,3, Yi-Zhou Jiang4
1Department of Neurology and Stroke Center, Center for Translational Medicine, Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. linshb6@mail.sysu.edu.cn.
Nature Protocols
|October 18, 2019
Summary
TRAC-Seq precisely maps 7-methylguansine (m7G) RNA modifications on tRNAs at single-nucleotide resolution. This chemical method offers unbiased, global profiling of tRNA modifications, advancing gene expression studies.
Area of Science:
- Molecular Biology
- Genomics
- Biochemistry
Background:
- Accurate mapping of RNA modifications is crucial for understanding gene regulation and physiological processes.
- 7-methylguansine (m7G) is a significant tRNA modification impacting gene expression.
- Existing methods like meRIP-Seq lack nucleotide-level resolution.
Purpose of the Study:
- To introduce tRNA reduction and cleavage sequencing (TRAC-Seq) for unbiased, global mapping of m7G modifications on tRNAs.
- To achieve single-nucleotide resolution of m7G sites across the tRNA transcriptome.
- To provide a chemically based alternative to antibody-dependent methods.
Main Methods:
- TRAC-Seq utilizes size-selected RNA (<200 nt) treated with AlkB demethylase.
- m7G sites are reduced with sodium borohydride (NaBH4) and cleaved using aniline.
- Cleaved RNA fragments are ligated to adaptors for high-throughput sequencing and analyzed via a bioinformatic pipeline.
Main Results:
- TRAC-Seq enables unbiased, global mapping of m7G modifications on tRNAs with single-nucleotide resolution.
- The method provides higher resolution compared to antibody-based techniques like meRIP-Seq.
- TRAC-Seq offers specific and efficient profiling, distinguishing it from AlkAniline-Seq.
Conclusions:
- TRAC-Seq is a robust chemical method for precise m7G site identification in tRNAs.
- The protocol can be adapted for detecting other RNA modifications.
- TRAC-Seq offers a rapid (~9 days for replicates) and accurate approach for tRNA modification analysis.
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