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绘制全转录组范围的蛋白质-RNA相互作用图谱以阐明RNA调控程序。

Mapping transcriptome-wide protein-RNA interactions to elucidate RNA regulatory programs.

作者信息

Hannigan Molly M, Zagore Leah L, Licatalosi Donny D

机构信息

Center for RNA Science and Therapeutics, Case Western Reserve University, Cleveland, OH 44106, USA.

出版信息

Quant Biol. 2018 Sep;6(3):228-238. doi: 10.1007/s40484-018-0145-6. Epub 2018 Jul 27.

Abstract

BACKGROUND

Our understanding of post-transcriptional gene regulation has increased exponentially with the development of robust methods to define protein-RNA interactions across the transcriptome. In this review, we highlight the evolution and successful applications of crosslinking and immunoprecipitation (CLIP) methods to interrogate protein-RNA interactions in a transcriptome-wide manner.

RESULTS

Here, we survey the vast array of and approaches used to identify protein-RNA interactions, including but not limited to electrophoretic mobility shift assays, systematic evolution of ligands by exponential enrichment (SELEX), and RIP-seq. We particularly emphasize the advancement of CLIP technologies, and detail protocol improvements and computational tools used to analyze the output data. Importantly, we discuss how profiling protein-RNA interactions can delineate biological functions including splicing regulation, alternative polyadenylation, cytoplasmic decay substrates, and miRNA targets.

CONCLUSIONS

In summary, this review summarizes the benefits of characterizing RNA-protein networks to further understand the regulation of gene expression and disease pathogenesis. Our review comments on how future CLIP technologies can be adapted to address outstanding questions related to many aspects of RNA metabolism and further advance our understanding of RNA biology.

摘要

背景

随着用于在全转录组范围内定义蛋白质 - RNA相互作用的强大方法的发展,我们对转录后基因调控的理解呈指数级增长。在本综述中,我们重点介绍交联免疫沉淀(CLIP)方法在全转录组范围内研究蛋白质 - RNA相互作用的发展历程及其成功应用。

结果

在此,我们概述了用于鉴定蛋白质 - RNA相互作用的大量方法,包括但不限于电泳迁移率变动分析、指数富集的配体系统进化(SELEX)和RIP-seq。我们特别强调CLIP技术的进展,并详细介绍了用于分析输出数据的实验方案改进和计算工具。重要的是,我们讨论了分析蛋白质 - RNA相互作用如何能够阐明生物学功能,包括剪接调控、可变聚腺苷酸化、细胞质降解底物和miRNA靶标。

结论

总之,本综述总结了表征RNA - 蛋白质网络以进一步理解基因表达调控和疾病发病机制的益处。我们的综述评论了未来的CLIP技术如何能够被应用于解决与RNA代谢许多方面相关的悬而未决的问题,并进一步推进我们对RNA生物学的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f52e/6516777/558139a6209f/nihms-994737-f0001.jpg

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