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Decoding protein-RNA interactions using CLIP-based methodologies.
Xiang, Joy S; Schafer, Danielle M; Rothamel, Katherine L; Yeo, Gene W.
Afiliação
  • Xiang JS; Division of Biomedical Sciences, UC Riverside, Riverside, CA, USA.
  • Schafer DM; Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA.
  • Rothamel KL; Sanford Stem Cell Institute and Stem Cell Program, UC San Diego, La Jolla, CA, USA.
  • Yeo GW; Institute for Genomic Medicine, UC San Diego, La Jolla, CA, USA.
Nat Rev Genet ; 2024 Jul 09.
Article em En | MEDLINE | ID: mdl-38982239
ABSTRACT
Protein-RNA interactions are central to all RNA processing events, with pivotal roles in the regulation of gene expression and cellular functions. Dysregulation of these interactions has been increasingly linked to the pathogenesis of human diseases. High-throughput approaches to identify RNA-binding proteins and their binding sites on RNA - in particular, ultraviolet crosslinking followed by immunoprecipitation (CLIP) - have helped to map the RNA interactome, yielding transcriptome-wide protein-RNA atlases that have contributed to key mechanistic insights into gene expression and gene-regulatory networks. Here, we review these recent advances, explore the effects of cellular context on RNA binding, and discuss how these insights are shaping our understanding of cellular biology. We also review the potential therapeutic applications arising from new knowledge of protein-RNA interactions.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article