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全原子模拟阐明 U2AF2 癌症相关突变对前体 mRNA 识别的影响。

All-Atom Simulations Elucidate the Impact of U2AF2 Cancer-Associated Mutations on Pre-mRNA Recognition.

机构信息

National Research Council of Italy (CNR)-IOM c/o International School for Advanced Studies (SISSA/ISAS), via Bonomea 265, 34136 Trieste, Italy.

International School for Advanced Studies (SISSA/ISAS), via Bonomea 265, 34136 Trieste, Italy.

出版信息

J Chem Inf Model. 2022 Dec 26;62(24):6691-6703. doi: 10.1021/acs.jcim.2c00511. Epub 2022 Aug 30.

Abstract

The U2AF2 splicing factor, made of two tandem RNA recognition motifs (RRMs) joined by a flexible linker, selects the intronic polypyrimidine sequence of premature mRNA, thus ensuring splicing fidelity. Increasing evidence links mutations of key splicing factors, including U2AF2, to a variety of cancers. Nevertheless, the impact of U2AF2 cancer-associated mutations on polypyrimidine recognition remains unclear. Here, we combined extensive (18 μs-long) all-atom molecular dynamics simulations and dynamical network theory analysis (NWA) of U2AF2, in its wild-type form and in the presence of the six most frequent cancer-associated mutations, bound to a poly-U strand. Our results reveal that the selected mutations affect the pre-mRNA binding at two hot spot regions, irrespectively of where these mutants are placed on the distinct U2AF2 domains. Complementarily, NWA traced the existence of cross-communication pathways, connecting each mutation site to these recognition hot spots, whose strength is altered by the mutations. Our outcomes suggest the existence of a structural/dynamical interplay of the two U2AF2's RRMs underlying the recognition of the polypyrimidine tract and reveal that the cancer-associated mutations affect the polypyrimidine selection by altering the RRMs' cooperativity. This mechanism may be shared by other RNA binding proteins hallmarked, like U2AF2, by multidomain architecture and high plasticity.

摘要

U2AF2 剪接因子由两个串联的 RNA 识别基序(RRMs)通过柔性连接子连接而成,它选择前体 mRNA 的内含子多嘧啶序列,从而确保剪接保真度。越来越多的证据表明,包括 U2AF2 在内的关键剪接因子的突变与多种癌症有关。然而,U2AF2 癌症相关突变对多嘧啶识别的影响仍不清楚。在这里,我们结合了广泛的(18 μs 长)全原子分子动力学模拟和 U2AF2 的动态网络理论分析(NWA),包括野生型和六种最常见的癌症相关突变体与聚 U 链的结合。我们的结果表明,所选突变会影响前体 mRNA 在两个热点区域的结合,而与这些突变体在 U2AF2 不同结构域上的位置无关。此外,NWA 追踪到存在交叉通讯途径,将每个突变位点与这些识别热点连接起来,突变会改变这些连接的强度。我们的研究结果表明,两个 U2AF2 的 RRMs 之间存在结构/动力学相互作用,这是识别多嘧啶序列的基础,并表明癌症相关突变通过改变 RRMs 的协同作用来影响多嘧啶的选择。这种机制可能被其他 RNA 结合蛋白共享,这些蛋白与 U2AF2 一样具有多结构域架构和高度的可塑性。

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