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Understanding lncRNA-protein assemblies with imaging and single-molecule approaches.
Liu, Jiaquan; Yang, Liang-Zhong; Chen, Ling-Ling.
Affiliation
  • Liu J; State Key Laboratory of Molecular Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China. Electronic address: liujiaquan@sibcb.ac.cn.
  • Yang LZ; State Key Laboratory of Molecular Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China.
  • Chen LL; State Key Laboratory of Molecular Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China; School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China; School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China. Electronic address: ling
Curr Opin Genet Dev ; 72: 128-137, 2022 02.
Article in En | MEDLINE | ID: mdl-34933201
ABSTRACT
Long non-coding RNAs (lncRNAs) associate with RNA-binding proteins (RBPs) to form lncRNA-protein complexes that act in a wide range of biological processes. Understanding the molecular mechanism of how a lncRNA-protein complex is assembled and regulated is key for their cellular functions. In this mini-review, we outline molecular methods used to identify lncRNA-protein interactions from large-scale to individual levels using bulk cells as well as those recently developed imaging and single-molecule approaches that are capable of visualizing RNA-protein assemblies in single cells and in real-time. Focusing on the latter group of approaches, we discuss their applications and limitations, which nevertheless have enabled quantification and comprehensive dissection of RNA-protein interactions possible.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA-Binding Proteins / RNA, Long Noncoding Language: En Journal: Curr Opin Genet Dev Journal subject: GENETICA Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA-Binding Proteins / RNA, Long Noncoding Language: En Journal: Curr Opin Genet Dev Journal subject: GENETICA Year: 2022 Document type: Article