Filcenkova Larissa, Reisbitzer Annika, Joseph Benjamin Philipp, Weber Verena, Carloni Paolo, Rossetti Giulia, Krauß Sybille
Institute of Biology, Human Biology/Neurobiology, University of Siegen, Siegen, Germany.
Institute for Neuroscience and Medicine and Institute for Advanced Simulations (INM-9/IAS-5), Computational Biomedicine, Forschungszentrum Jülich, Jülich, Germany.
Front Genet. 2025 Mar 5;16:1549304. doi: 10.3389/fgene.2025.1549304. eCollection 2025.
RNA-protein interactions play an important regulatory role in several biological processes. For example, the RNA-binding protein HuR (human antigen R) binds to its target mRNAs and regulates their translation, stability, and subcellular localization. HuR is involved in the pathogenic processes of various diseases. Thus, small molecules blocking RNA-binding of HuR may be useful in a variety of diseases. Previously, we identified STK018404 as a small molecule targeting the HuR-RNA interaction. Based on this study we identified optimized compounds by exploiting combined structure-based and ligand-based computational approaches. To test a series of these compounds, we developed a novel readout system for the HuR-RNA interaction. Traditional methods to detect RNA-protein interaction come with some disadvantages: they require significant reagent optimization and may be difficult to optimize for weakly expressed RNA molecules. The readout often requires amplification. Thus, these methods are not well suited for quantitative analysis of RNA-protein interactions. To achieve an easy-to-perform, rapid, and robust detection of RNA-protein binding, we applied a split luciferase reporter system, to detect the interaction between HuR and its target RNA. We expressed one luciferase fragment as a fusion protein with HuR. The second luciferase fragment was Streptavidin-coated and coupled to a biotinylated RNA-oligo comprising an AU-rich HuR-binding element. The binding between HuR and its target RNA-oligo then allowed reconstitution of the functional luciferase that was detectable by luminescence. Using the split luciferase reporter system, we present here a series of optimized compounds that we developed.
RNA-蛋白质相互作用在多个生物学过程中发挥着重要的调节作用。例如,RNA结合蛋白HuR(人类抗原R)与其靶标mRNA结合,并调节它们的翻译、稳定性和亚细胞定位。HuR参与多种疾病的致病过程。因此,阻断HuR与RNA结合的小分子可能对多种疾病有用。此前,我们鉴定出STK018404是一种靶向HuR-RNA相互作用的小分子。基于这项研究,我们通过结合基于结构和基于配体的计算方法鉴定出了优化的化合物。为了测试一系列这些化合物,我们开发了一种用于检测HuR-RNA相互作用的新型读出系统。传统的检测RNA-蛋白质相互作用的方法存在一些缺点:它们需要大量的试剂优化,并且对于低表达的RNA分子可能难以优化。读出通常需要扩增。因此,这些方法不太适合对RNA-蛋白质相互作用进行定量分析。为了实现对RNA-蛋白质结合的易于操作、快速且稳健的检测,我们应用了一种分裂荧光素酶报告系统来检测HuR与其靶标RNA之间的相互作用。我们将一个荧光素酶片段表达为与HuR的融合蛋白。第二个荧光素酶片段用链霉亲和素包被,并与包含富含AU的HuR结合元件的生物素化RNA寡核苷酸偶联。HuR与其靶标RNA寡核苷酸之间的结合随后使得能够重新组装可通过发光检测到的功能性荧光素酶。利用分裂荧光素酶报告系统,我们在此展示了我们开发的一系列优化化合物。