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Advances and challenges towards the study of RNA-RNA interactions in a transcriptome-wide scale

机译:在转录组范围内研究RNA-RNA相互作用的进展和挑战

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Background:RNA molecules play crucial roles in various biological processes.Their regulation and function are mediated by interacting with other molecules.Among them RNA-RNA interactions (RRIs) are important in many basic cellular activities including transcription,RNA processing,localization,and translation.However,we just start to unveil the complexity of the knowledge and underlying mechanisms of RRIs.Results:In this review,we will summarize approaches for RRI identifications,including both conventional,focused biophysical and biochemical methods and recently developed large scale sequencing-based techniques.We will also discuss discoveries per RRI type revealed by using these technologies,as well as challenges towards a systematic and functional understanding of RRIs.Conclusions:The development of sequencing-based techniques has revolutionized the study of RRIs.Applying these techniques in multiple organisms has identified thousands of RRIs,many of which could potentially regulate multiple aspects of gene expression.However,despite the great breakthrough,the RNA-RNA interactome of any species remains far from complete due to intrinsic complex nature of RRI and limitations in current techniques.More efficient experimental methods and computational framework are needed to obtain the full image of RRI networks,and their possible regulatory roles in biology and medicine.
机译:背景:RNA分子在各种生物过程中起着至关重要的作用,它们的调节和功能是通过与其他分子的相互作用来介导的,其中RNA相互作用(RRI)在许多基本的细胞活动中都非常重要,包括转录,RNA加工,定位和翻译但是,我们才刚刚开始揭示RRI的知识和潜在机制的复杂性。结果:在本综述中,我们将概述RRI鉴定的方法,包括常规,重点生物物理和生化方法,以及最近开发的基于大规模测序的方法。我们还将讨论通过使用这些技术揭示的每种RRI类型的发现,以及对RRI的系统和功能理解的挑战。结论:基于测序的技术的发展彻底改变了RRI的研究方法。生物已经确定了数千个RRI,其中许多可能潜在地调节基因表达的多个方面。然而,尽管取得了重大突破,但由于RRI的内在复杂性和当前技术的局限性,任何物种的RNA-RNA相互作用组仍远远不够完整。需要更有效的实验方法和计算框架来获得RRI网络的完整图像及其在生物学和医学中的可能调控作用。

著录项

  • 来源
    《定量生物学(英文版)》 |2018年第3期|239-252|共14页
  • 作者单位

    MOE Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology, Center for Synthetic and Systems Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084,China;

    MOE Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology, Center for Synthetic and Systems Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084,China;

    MOE Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology, Center for Synthetic and Systems Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084,China;

    MOE Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology, Center for Synthetic and Systems Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084,China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-19 04:27:32
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