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irCLIP platform for efficient characterization of protein-RNA interactions.
Zarnegar, Brian J; Flynn, Ryan A; Shen, Ying; Do, Brian T; Chang, Howard Y; Khavari, Paul A.
Afiliação
  • Zarnegar BJ; Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, USA.
  • Flynn RA; Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, USA.
  • Shen Y; Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA.
  • Do BT; Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, USA.
  • Chang HY; Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, USA.
  • Khavari PA; Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA.
Nat Methods ; 13(6): 489-92, 2016 06.
Article em En | MEDLINE | ID: mdl-27111506
ABSTRACT
The complexity of transcriptome-wide protein-RNA interaction networks is incompletely understood. While emerging studies are greatly expanding the known universe of RNA-binding proteins, methods for the discovery and characterization of protein-RNA interactions remain resource intensive and technically challenging. Here we introduce a UV-C crosslinking and immunoprecipitation platform, irCLIP, which provides an ultraefficient, fast, and nonisotopic method for the detection of protein-RNA interactions using far less material than standard protocols.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Raios Ultravioleta / Proteínas de Ligação a RNA / Imunoprecipitação Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Raios Ultravioleta / Proteínas de Ligação a RNA / Imunoprecipitação Idioma: En Ano de publicação: 2016 Tipo de documento: Article