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使RNA修饰对蛋白质相互作用的影响合理化。

Rationalizing the effects of RNA modifications on protein interactions.

作者信息

Vandelli Andrea, Broglia Laura, Armaos Alexandros, Delli Ponti Riccardo, Tartaglia Gian Gaetano

机构信息

Centre for Human Technologies (CHT), RNA System Biology Lab, Istituto Italiano di Tecnologia (IIT), Via Enrico Melen, 83, 16152 Genova, Italy.

出版信息

Mol Ther Nucleic Acids. 2024 Nov 15;35(4):102391. doi: 10.1016/j.omtn.2024.102391. eCollection 2024 Dec 10.

Abstract

RNA modifications play a crucial role in regulating gene expression by altering RNA structure and modulating interactions with RNA-binding proteins (RBPs). In this study, we explore the impact of specific RNA chemical modifications-N-methyladenosine (m⁶A), A-to-I editing, and pseudouridine (Ψ)-on RNA secondary structure and protein-RNA interactions. Utilizing genome-wide data, including RNA secondary structure predictions and protein-RNA interaction datasets, we classify proteins into distinct categories based on their binding behaviors: modification specific and structure independent, or modification unspecific and structure dependent. For instance, m⁶A readers such as YTHDF2 exhibit modification-specific and structure-independent binding, consistently recognizing m⁶A regardless of structural changes. Conversely, proteins such as U2AF2 display modification-unspecific and structure-dependent behavior, altering their binding preferences in response to structural changes induced by different modifications. A-to-I editing, which causes significant structural changes, typically reduces protein interactions, while Ψ enhances RNA structural stability, albeit with variable effects on protein binding. To predict these interactions, we developed the RAPID 2.2 algorithm, which computes the effects of RNA modifications on protein-RNA binding propensities. This algorithm enables the prediction and analysis of RNA modifications' impact on protein interactions, offering new insights into RNA biology and engineering.

摘要

RNA修饰通过改变RNA结构和调节与RNA结合蛋白(RBP)的相互作用,在基因表达调控中发挥关键作用。在本研究中,我们探讨了特定RNA化学修饰——N⁶-甲基腺苷(m⁶A)、A到I编辑和假尿苷(Ψ)——对RNA二级结构和蛋白质-RNA相互作用的影响。利用全基因组数据,包括RNA二级结构预测和蛋白质-RNA相互作用数据集,我们根据蛋白质的结合行为将其分为不同类别:修饰特异性和结构非依赖性,或修饰非特异性和结构依赖性。例如,YTHDF2等m⁶A阅读蛋白表现出修饰特异性和结构非依赖性结合,无论结构变化如何,都能持续识别m⁶A。相反,U2AF2等蛋白质表现出修饰非特异性和结构依赖性行为,会根据不同修饰诱导的结构变化改变其结合偏好。A到I编辑会导致显著的结构变化,通常会减少蛋白质相互作用,而Ψ则增强RNA结构稳定性,尽管对蛋白质结合的影响各不相同。为了预测这些相互作用,我们开发了RAPID 2.2算法,该算法计算RNA修饰对蛋白质-RNA结合倾向的影响。该算法能够预测和分析RNA修饰对蛋白质相互作用的影响,为RNA生物学和工程学提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3ba/11664407/1aa607a3ee8d/fx1.jpg

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