RNA structure-wide discovery of functional interactions with multiplexed RNA motif library

Access this Article

Abstract

RNA構造のライブラリ化を通じてRNA 構造ごとにおけるRNA-タンパク質相互作用を大規模に解析するシステム「FOREST」の開発 --RNAを標的とする創薬に道--. 京都大学プレスリリース. 2020-12-09.

Biochemical assays and computational analyses have discovered RNA structures throughout various transcripts. However, the roles of these structures are mostly unknown. Here we develop folded RNA element profiling with structure library (FOREST), a multiplexed affinity assay system to identify functional interactions from transcriptome-wide RNA structure datasets. We generate an RNA structure library by extracting validated or predicted RNA motifs from gene-annotated RNA regions. The RNA structure library with an affinity enrichment assay allows for the comprehensive identification of target-binding RNA sequences and structures in a high-throughput manner. As a proof-of-concept, FOREST discovers multiple RNA-protein interaction networks with quantitative scores, including translational regulatory elements that function in living cells. Moreover, FOREST reveals different binding landscapes of RNA G-quadruplex (rG4) structures-binding proteins and discovers rG4 structures in the terminal loops of precursor microRNAs. Overall, FOREST serves as a versatile platform to investigate RNA structure-function relationships on a large scale.

Journal

  • Nature Communications

    Nature Communications (11), 2020-12-18

    Springer Nature

Codes

  • NII Article ID (NAID)
    120006939159
  • Text Lang
    ENG
  • Article Type
    journal article
  • ISSN
    2041-1723
  • Data Source
    IR 
Page Top