RNA-タンパク質相互作用解析のためのMAPIT-seqを開発(Peking University Researchers Develop MAPIT-seq, a Versatile Tool for Studying RNA-Protein Interactions)

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2025-08-17 北京大学(PKU)

北京大学の王延明教授らのチームは、新しいRNA–タンパク質相互作用解析技術MAPIT-seqを開発しました。MAPIT-seqは抗体とRNA編集酵素を組み合わせ、固定細胞や凍結組織から遺伝子工学なしでRNA結合タンパク質(RBP)の結合部位と全トランスクリプトームを同時取得可能にします。単一細胞・長鎖リード解析に対応し、胎児脳発達におけるG3BP1の結合や細胞周期に伴うRBP標的変動を解明しました。従来法より高効率かつ臨床試料応用に適し、今後は空間トランスクリプトミクスとの統合で臓器内RBP動態の高精度マッピングが期待されます。成果はNature Methodsに掲載されました。

RNA-タンパク質相互作用解析のためのMAPIT-seqを開発(Peking University Researchers Develop MAPIT-seq, a Versatile Tool for Studying RNA-Protein Interactions)
Figure 1. Schematics of MAPIT-seq

<関連情報>

単一細胞・組織におけるin situ RNA-タンパク質相互作用とトランスクリプトームの同時プロファイリング Co-profiling of in situ RNA-protein interactions and transcriptome in single cells and tissues

Qi-Xuan Cheng,Gang Xie,Xiangyu Zhang,Jie Wang,Shuangjin Ding,Yi-Xia Wu,Ming Shi,Fei-Fei Duan,Zi-Li Wan,Jing-Jia Wei,Junyu Xiao & Yangming Wang
Nature Methods  Published:11 August 2025
DOIh:ttps://doi.org/10.1038/s41592-025-02774-4

Abstract

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.

細胞遺伝子工学
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