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使用多重RNA结构文库对小分子-RNA相互作用进行大规模分析。

Large-scale analysis of small molecule-RNA interactions using multiplexed RNA structure libraries.

作者信息

Nagasawa Ryosuke, Onizuka Kazumitsu, Komatsu Kaoru R, Miyashita Emi, Murase Hirotaka, Ojima Kanna, Ishikawa Shunya, Ozawa Mamiko, Saito Hirohide, Nagatsugi Fumi

机构信息

Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Miyagi, 980-8577, Japan.

Department of Chemistry, Graduate School of Science, Tohoku University, Miyagi, 980-8578, Japan.

出版信息

Commun Chem. 2024 May 1;7(1):98. doi: 10.1038/s42004-024-01181-8.

Abstract

The large-scale analysis of small-molecule binding to diverse RNA structures is key to understanding the required interaction properties and selectivity for developing RNA-binding molecules toward RNA-targeted therapies. Here, we report a new system for performing the large-scale analysis of small molecule-RNA interactions using a multiplexed pull-down assay with RNA structure libraries. The system profiled the RNA-binding landscapes of G-clamp and thiazole orange derivatives, which recognizes an unpaired guanine base and are good probes for fluorescent indicator displacement (FID) assays, respectively. We discuss the binding preferences of these molecules based on their large-scale affinity profiles. In addition, we selected combinations of fluorescent indicators and different ranks of RNA based on the information and screened for RNA-binding molecules using FID. RNAs with high- and intermediate-rank RNA provided reliable results. Our system provides fundamental information about small molecule-RNA interactions and facilitates the discovery of novel RNA-binding molecules.

摘要

对小分子与多种RNA结构的结合进行大规模分析,是理解开发针对RNA的疗法所需的相互作用特性和选择性的关键。在此,我们报告了一种新系统,该系统使用带有RNA结构文库的多重下拉分析法,对小分子与RNA的相互作用进行大规模分析。该系统分析了G夹和噻唑橙衍生物的RNA结合图谱,它们分别识别未配对的鸟嘌呤碱基,并且是荧光指示剂置换(FID)分析的良好探针。我们根据这些分子的大规模亲和力图谱讨论了它们的结合偏好。此外,我们根据这些信息选择了荧光指示剂和不同等级RNA的组合,并使用FID筛选RNA结合分子。高等级和中等等级的RNA提供了可靠的结果。我们的系统提供了有关小分子与RNA相互作用的基础信息,并有助于发现新型RNA结合分子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c36/11865577/bb8b0ae1201b/42004_2024_1181_Fig1_HTML.jpg

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