转录组
RNA结合蛋白
计算生物学
核糖核酸
生物
基因表达谱
细胞生物学
RNA序列
基因表达
遗传学
基因
作者
Qixuan Cheng,Gang Xie,Xiangyu Zhang,Jie Wang,Shuangjin Ding,Yixia Wu,Ming Shi,Fei-Fei Duan,Zi-Li Wan,Jing-Jia Wei,Junyu Xiao,Yangming Wang
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2025-08-10
卷期号:22 (9): 1824-1835
被引量:4
标识
DOI:10.1038/s41592-025-02774-4
摘要
RNA-binding proteins (RBPs) are essential regulators of RNA fate and function. A long-standing challenge in studying RBP regulation has been mapping RNA interactomes within the dynamic transcriptomic landscape, especially in single-cell contexts and primary tissues. Here we introduce MAPIT-seq (modification added to RBP interacting transcript-sequencing), which uses an antibody-directed editing strategy to map genome-wide in situ RBP-RNA interactions and gene expression concurrently. We demonstrate MAPIT-seq's robustness across multiple RBPs and systematically analyze RNA substrates associated with core polycomb repressive complex 2 (PRC2) components. MAPIT-seq is also applicable to frozen tissue sections, enabling the mapping of RBP roles during brain development. Importantly, we develop high-throughput single-cell MAPIT-seq (scMAPIT-seq) to reveal cell stage-specific RBP regulation. In summary, MAPIT-seq expands multi-omics profiling, providing an effective framework to study post-transcriptional regulation in dynamic biological processes and clinically relevant scenarios.
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