Practical considerations on performing and analyzing CLIP-seq experiments to identify transcriptomic-wide RNA-protein interactions

Methods. 2019 Feb 15:155:49-57. doi: 10.1016/j.ymeth.2018.12.002. Epub 2018 Dec 6.

Abstract

RNA-binding proteins are important players in post-transcriptional regulation, such as modulating mRNA splicing, translation, and degradation under diverse biological settings. Identifying and characterizing the RNA substrates is a critical step in deciphering the function and molecular mechanisms of the target RNA-binding proteins. High-throughput sequencing of the RNA fragments isolated by crosslinking immunoprecipitation (CLIP-seq) is one of the standard techniques to identify the in vivo transcriptome-wide binding sites of the target RNA-binding protein. This method is widely used in functional and mechanistic characterizations of RNA-binding proteins. In this review, we provide several practical considerations on performing and analyzing CLIP-seq experiments. Particularly, we focus on how to perform CLIP-seq experiments on endogenous RNA-binding proteins. In addition, we provide a practical summary on how to choose and use computational pipelines from an increasing number of computational methods and packages that are available for analyzing the sequencing datasets from the CLIP-seq experiments. We hope these practical considerations will facilitate experimental biologists in performing and analyzing CLIP-seq experiment to obtain biologically relevant mechanistic insights.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Cross-Linking Reagents / chemistry
  • Datasets as Topic
  • High-Throughput Nucleotide Sequencing / methods*
  • Humans
  • Immunoprecipitation / methods*
  • RNA / genetics*
  • RNA / metabolism
  • RNA Processing, Post-Transcriptional*
  • RNA-Binding Proteins / genetics*
  • RNA-Binding Proteins / metabolism
  • Sequence Analysis, RNA
  • Software
  • Transcriptome*

Substances

  • Cross-Linking Reagents
  • RNA-Binding Proteins
  • RNA