Literature DB >> 30191493

Methods for Identification of Protein-RNA Interaction.

Juan Xu1, Zishan Wang2, Xiyun Jin2, Lili Li2, Tao Pan2.   

Abstract

The importance of RNA-protein interactions in regulation of mRNA and non-coding RNA function is increasingly appreciated. With the development of next generation high-throughput sequencing technologies, a variety of methods have been proposed to comprehensively identify RNA-protein interactions. In this chapter, we discussed the traditional and state-of-the-art technologies that were used to study RNA-protein interaction, including experimental and computational methods. To help highlight the biological significance of RNA-protein interaction in complex diseases, online resources on RNA-protein interactions were briefly discussed. Finally, we discussed the interaction among noncoding RNAs (such as long noncoding RNAs and microRNAs) and proteins, as well as the dysregulation of RNA-protein interaction in complex diseases. These summarization will ultimately provide a more complete picture for understanding of the function of RNA-protein interactions, including how these interaction assembled and how they modulate cellular function in complex diseases.

Keywords:  Complex diseases; Non-coding RNA; RNA binding proteins; RNA-protein interaction

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Year:  2018        PMID: 30191493     DOI: 10.1007/978-981-13-0719-5_12

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  2 in total

Review 1.  Roles of Emerging RNA-Binding Activity of cGAS in Innate Antiviral Response.

Authors:  Yuying Ma; Xiaohui Wang; Weisheng Luo; Ji Xiao; Xiaowei Song; Yifei Wang; Hanlin Shuai; Zhe Ren; Yiliang Wang
Journal:  Front Immunol       Date:  2021-11-26       Impact factor: 7.561

Review 2.  Expression, Regulation and Function of microRNA as Important Players in the Transition of MDS to Secondary AML and Their Cross Talk to RNA-Binding Proteins.

Authors:  Marcus Bauer; Christoforos Vaxevanis; Nadine Heimer; Haifa Kathrin Al-Ali; Nadja Jaekel; Michael Bachmann; Claudia Wickenhauser; Barbara Seliger
Journal:  Int J Mol Sci       Date:  2020-09-27       Impact factor: 5.923

  2 in total

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