A Pipeline for Analyzing eCLIP and iCLIP Data with Htseq-clip and DEWSeq

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• Individual-nucleotide crosslinking and immunoprecipitation (iCLIP) and enhanced CLIP (eCLIP) are powerful techniques for mapping RNA-binding protein (RBP) interactions genome-wide.
• Analyzing the complex datasets generated by these methods requires specialized bioinformatics tools and workflows.

Purpose of the Study:

• To provide a comprehensive, stepwise tutorial for the analysis of iCLIP and eCLIP sequencing data.
• To detail the use of open-source tools, htseq-clip and DEWSeq, for processing and analyzing RBP binding site data.
• To enable researchers to effectively identify and characterize RBP binding sites, considering replicates and size-matched input controls.

Main Methods:

• The tutorial covers data preprocessing, including gene annotation preparation and extraction of truncation sites.
• It details the utilization of htseq-clip for initial data processing and DEWSeq for statistical analysis.
• A sliding window approach is employed for the detection of significantly enriched RBP binding sites.

Main Results:

• The described workflow facilitates the accurate identification of transcriptome-wide RBP binding sites.
• The methods are robust and suitable for analyzing data with replicates and size-matched input controls.
• The analysis pipeline supports the detection of binding sites reflecting diverse RBP binding modes.

Conclusions:

• This chapter offers a practical guide for researchers utilizing iCLIP and eCLIP sequencing.
• The open-source tools and methods presented enhance the ability to study RBP-RNA interactions.
• The workflow contributes to a deeper understanding of post-transcriptional gene regulation by RBPs.