Reactivity-based RNA profiling for analyzing transcriptome interactions of small molecules in human cells

被引:0
|
作者
Fang, Linglan [1 ]
Kool, Eric T. [1 ]
机构
[1] Stanford Univ, Dept Chem & Sarafan ChEM H, Stanford, CA 94305 USA
来源
STAR PROTOCOLS | 2023年 / 4卷 / 04期
基金
美国国家卫生研究院;
关键词
Bioinformatics; Chemistry; RNAseq;
D O I
10.1016/j.xpro.2023.102670
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Protein-targeted small-molecule drugs may unintentionally bind intracellular RNA, contributing to drug toxicity. Moreover, new drugs are actively sought for intentionally targeting RNA. Here, we present a protocol to globally profile RNA- drug interactions in human cells using acylating probes and next-generation sequencing. We describe steps for cell culture, target acylation, library preparation, and sequencing. Detailed bioinformatic analyses identify drug-binding RNA loci in similar to 16,000 poly(A)+ human transcripts. This streamlined workflow identifies RNA- drug interactions at single- nucleotide resolution, revealing widespread transcriptome interactions of drugs. For complete details on the use and execution of this protocol, please refer to Fang et al.(1)
引用
收藏
页数:33
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