On the specificity of the recognition of m6A-RNA by YTH reader domains.

IF 4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Biological Chemistry Pub Date : 2024-11-15 DOI:10.1016/j.jbc.2024.107998
Julian Widmer, Andreas Vitalis, Amedeo Caflisch
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Abstract

Most processes of life are the result of polyvalent interactions between macromolecules, often of heterogeneous types and sizes. Frequently, the times associated with these interactions are prohibitively long for interrogation using atomistic simulations. Here, we study the recognition of N6-methylated adenine (m6A) in RNA by the reader domain YTHDC1, a prototypical, cognate pair that challenges simulations through its composition and required timescales. Simulations of RNA pentanucleotides in water reveal that the unbound state can impact (un)binding kinetics in a manner that is both model- and sequence-dependent. This is important because there are two contributions to the specificity of the recognition of the Gm6AC motif: from the sequence adjacent to the central adenine and from its methylation. Next, we establish a reductionist model consisting of an RNA trinucleotide binding to the isolated reader domain in high salt. An adaptive sampling protocol allows us to quantitatively study the dissociation of this complex. Through joint analysis of a data set including both the cognate and control sequences (GAC, Am6AA, and AAA), we derive that both contributions to specificity, sequence and methylation, are significant and in good agreement with experimental numbers. Analysis of the kinetics suggests that flexibility in both the RNA and the YTHDC1 recognition loop leads to many low-populated unbinding pathways. This multiple-pathway mechanism might be dominant for the binding of unstructured polymers, including RNA and peptides, to proteins when their association is driven by polyvalent, electrostatic interactions.

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YTH 阅读器结构域识别 m6A-RNA 的特异性。
大多数生命过程都是大分子之间多价相互作用的结果,这些大分子通常具有不同的类型和大小。通常情况下,与这些相互作用相关的时间过长,无法使用原子模拟进行研究。在这里,我们研究了阅读器结构域 YTHDC1 对 RNA 中 N6 甲基化腺嘌呤(m6A)的识别,这是一对典型的同源物,其组成和所需的时间尺度给模拟带来了挑战。对水中 RNA 五核苷酸的模拟显示,未结合状态会影响(未)结合动力学,这种影响既取决于模型,也取决于序列。这一点非常重要,因为对 Gm6AC 主题识别的特异性有两种贡献:来自邻近中心腺嘌呤的序列和来自其甲基化。接下来,我们建立了一个还原模型,包括 RNA 三核苷酸在高盐条件下与分离的阅读器结构域的结合。通过自适应取样协议,我们可以定量研究该复合物的解离情况。通过对包括同源序列和对照序列(GAC、Am6AA 和 AAA)的数据集进行联合分析,我们得出序列和甲基化对特异性的贡献都很大,而且与实验数据十分吻合。动力学分析表明,RNA 和 YTHDC1 识别环的灵活性导致了许多低密度的解除结合途径。当包括 RNA 和肽在内的非结构化聚合物与蛋白质的结合是由多价静电相互作用驱动时,这种多途径机制可能占主导地位。
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来源期刊
Journal of Biological Chemistry
Journal of Biological Chemistry Biochemistry, Genetics and Molecular Biology-Biochemistry
自引率
4.20%
发文量
1233
期刊介绍: The Journal of Biological Chemistry welcomes high-quality science that seeks to elucidate the molecular and cellular basis of biological processes. Papers published in JBC can therefore fall under the umbrellas of not only biological chemistry, chemical biology, or biochemistry, but also allied disciplines such as biophysics, systems biology, RNA biology, immunology, microbiology, neurobiology, epigenetics, computational biology, ’omics, and many more. The outcome of our focus on papers that contribute novel and important mechanistic insights, rather than on a particular topic area, is that JBC is truly a melting pot for scientists across disciplines. In addition, JBC welcomes papers that describe methods that will help scientists push their biochemical inquiries forward and resources that will be of use to the research community.
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