Design and characterization of G-quadruplex RNA aptamers reveal RNA-binding by KDM5 lysine demethylases.

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-06-16 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.06.027
Johanna Luige, Thomas Conrad, Alexandros Armaos, Annita Louloupi, Anna Vincent, David Meierhofer, Michael Gajhede, Gian Gaetano Tartaglia, Ulf Andersson Vang Ørom
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引用次数: 0

Abstract

Here, we show that the histone lysine demethylases KDM5A and KDM5B can bind to RNA through interaction with G-quadruplexes, despite neither being categorized as RNA- nor G-quadruplex binding proteins across numerous experimental large-scale and computational studies. In addition to characterizing the KDM5 G-quadruplex interaction we show that RNA is directly involved in the formation of KDM5-containing protein complexes. Computational predictions and comparisons to other ARID domain containing proteins suggest that the ARID domain is directly interacting with both DNA and RNA across several proteins. Our work highlights that the RNA-binding by KDM5 lysine demethylases is dependent on recognizing G-quadruplex structures and that RNA mediates the formation of alternative KDM5-containing protein complexes.

g -四重体RNA适配体的设计和表征揭示了KDM5赖氨酸去甲基化酶与RNA的结合。
在这里,我们发现组蛋白赖氨酸去甲基化酶KDM5A和KDM5B可以通过与g -四重体的相互作用与RNA结合,尽管在大量的大规模实验和计算研究中,它们既没有被归类为RNA结合蛋白,也没有被归类为g -四重体结合蛋白。除了表征KDM5 g -四重体相互作用外,我们还发现RNA直接参与了含KDM5蛋白复合物的形成。计算预测和与其他含有ARID结构域的蛋白质的比较表明,ARID结构域通过几种蛋白质直接与DNA和RNA相互作用。我们的工作强调了KDM5赖氨酸去甲基化酶的RNA结合依赖于识别g -四重体结构,并且RNA介导了含有KDM5的替代蛋白复合物的形成。
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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