Genome-wide probing RNA structure with the modified DMS-MaPseq in Arabidopsis

被引:17
|
作者
Wang, Zhiye [1 ,2 ]
Wang, Meiyue [3 ,4 ]
Wang, Tian [1 ,2 ,5 ]
Zhang, Yijing [3 ,4 ]
Zhang, Xiuren [1 ,2 ]
机构
[1] Texas A&M Univ, Dept Biochem & Biophys, College Stn, TX 77843 USA
[2] Texas A&M Univ, Inst Plant Genom & Biotechnol, College Stn, TX 77843 USA
[3] Chinese Acad Sci, CAS Ctr Excellence Mol Plant Sci, Shanghai Inst Plant Physiol & Ecol, Natl Key Lab Plant Mol Genet,Shanghai Inst Biol, 300 Fenglin Rd, Shanghai 200032, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[5] China Agr Univ, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China
基金
美国国家科学基金会;
关键词
Arabidopsis; RNA structure; Genome-wide profiling; Dimethyl sulfate; Thermostable group II intron reverse transcriptase; Next-generation sequencing; SECONDARY STRUCTURE; LIVING CELLS; SHAPE; REVEALS;
D O I
10.1016/j.ymeth.2018.11.018
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Transcripts have intrinsic propensity to form stable secondary structure that is fundamental to regulate RNA transcription, splicing, translation, RNA localization and turnover. Numerous methods that integrate chemical reactions with next-generation sequencing (NGS) have been applied to study in vivo RNA structure, providing new insights into RNA biology. Dimethyl sulfate (DMS) probing coupled with mutational profiling through NGS (DMS-MaPseq) is a newly developed method for revealing genome-wide or target-specific RNA structure. Herein, we present our experimental protocol of a modified DMS-MaPseq method for plant materials. The DMS treatment condition was optimized, and library preparation procedures were simplified. We also provided custom scripts for bioinformatic analysis of genome-wide DMS-MaPseq data. Bioinformatic results showed that our method could generate high-quality and reproducible data. Further, we assessed sequencing depth and coverage for genome-wide RNA structure profiling in Arabidopsis, and provided two examples of in vivo structure of mobile RNAs. We hope that our modified DMS-MaPseq method will serve as a powerful tool for analyzing in vivo RNA structurome in plants.
引用
收藏
页码:30 / 40
页数:11
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