Theory Department, National Institute of Chemistry, Ljubljana 1001, Slovenia.
Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States.
Acc Chem Res. 2021 Jan 5;54(1):144-154. doi: 10.1021/acs.accounts.0c00578. Epub 2020 Dec 14.
Intron removal from premature-mRNA (pre-mRNA splicing) is an essential part of gene expression and regulation that is required for the production of mature, protein-coding mRNA. The spliceosome (SPL), a majestic machine composed of five small nuclear RNAs and hundreds of proteins, behaves as an eminent transcriptome tailor, efficiently performing splicing as a protein-directed metallo-ribozyme. To select and excise long and diverse intronic sequences with single-nucleotide precision, the SPL undergoes a continuous compositional and conformational remodeling, forming eight distinct complexes throughout each splicing cycle. Splicing fidelity is of paramount importance to preserve the integrity of the proteome. Mutations in splicing factors can severely compromise the accuracy of this machinery, leading to aberrant splicing and altered gene expression. Decades of biochemical and genetic studies have provided insights into the SPL's composition and function, but its complexity and plasticity have prevented an in-depth mechanistic understanding. Single-particle cryogenic electron microscopy techniques have ushered in a new era for comprehending eukaryotic gene regulation, providing several near-atomic resolution structures of the SPL from yeast and humans. Nevertheless, these structures represent isolated snapshots of the splicing process and are insufficient to exhaustively assess the function of each SPL component and to unravel particular facets of the splicing mechanism in a dynamic environment.In this Account, building upon our contributions in this field, we discuss the role of biomolecular simulations in uncovering the mechanistic intricacies of eukaryotic splicing in health and disease. Specifically, we showcase previous applications to illustrate the role of atomic-level simulations in elucidating the function of specific proteins involved in the architectural reorganization of the SPL along the splicing cycle. Moreover, molecular dynamics applications have uniquely contributed to decrypting the channels of communication required for critical functional transitions of the SPL assemblies. They have also shed light on the role of carcinogenic mutations in the faithful selection of key intronic regions and the molecular mechanism of splicing modulators. Additionally, we emphasize the role of quantum-classical molecular dynamics in unraveling the chemical details of pre-mRNA cleavage in the SPL and in its evolutionary ancestors, group II intron ribozymes. We discuss methodological pitfalls of multiscale calculations currently used to dissect the splicing mechanism, presenting future challenges in this field. The results highlight how atomic-level simulations can enrich the interpretation of experimental results. We envision that the synergy between computational and experimental approaches will aid in developing innovative therapeutic strategies and revolutionary gene modulation tools to fight the over 200 human diseases associated with splicing misregulation, including cancer and neurodegeneration.
内含子从不成熟的 mRNA(前体 mRNA 剪接)中去除是基因表达和调控的一个重要组成部分,对于产生成熟的、编码蛋白质的 mRNA 是必需的。剪接体(SPL)是一种由五个小核 RNA 和数百种蛋白质组成的宏伟机器,它作为一个杰出的转录组裁缝,高效地作为一种蛋白指导的金属核酶进行剪接。为了选择和切除具有单核苷酸精度的长而多样的内含子序列,SPL 经历了连续的组成和构象重塑,在每个剪接循环中形成八个不同的复合物。剪接保真度对于保护蛋白质组的完整性至关重要。剪接因子的突变会严重损害该机制的准确性,导致异常剪接和基因表达改变。几十年来的生化和遗传研究为我们提供了对 SPL 组成和功能的深入了解,但它的复杂性和可塑性阻止了我们对其进行深入的机制理解。单颗粒低温电子显微镜技术为理解真核生物基因调控带来了一个新时代,为我们提供了来自酵母和人类的 SPL 的几个近原子分辨率结构。然而,这些结构仅代表剪接过程的孤立快照,不足以详尽评估 SPL 每个组成部分的功能,并在动态环境中揭示剪接机制的特定方面。在本述评中,我们基于在该领域的贡献,讨论了生物分子模拟在揭示健康和疾病状态下真核剪接的机制复杂性方面的作用。具体来说,我们展示了之前的应用,说明原子水平模拟在阐明参与 SPL 沿着剪接周期进行结构重排的特定蛋白质的功能方面的作用。此外,分子动力学应用独特地有助于解密 SPL 组装体进行关键功能转变所需的通信通道。它们还揭示了致癌突变在关键内含子区域的选择和剪接调节剂的分子机制中的作用。此外,我们强调了量子经典分子动力学在揭示 SPL 及其在进化祖先 II 类内含子核酶中前体 mRNA 切割的化学细节方面的作用。我们讨论了目前用于剖析剪接机制的多尺度计算方法的方法学陷阱,提出了该领域的未来挑战。结果强调了原子水平模拟如何丰富对实验结果的解释。我们设想计算和实验方法的协同作用将有助于开发创新的治疗策略和革命性的基因调控工具,以对抗与剪接调控失调相关的 200 多种人类疾病,包括癌症和神经退行性疾病。