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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Related Experiment Video

Updated: Jul 11, 2025

Enhanced Crosslinking Immunoprecipitation eCLIP Method for Efficient Identification of Protein-bound RNA in Mouse Testis
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Improved discovery of RNA-binding protein binding sites in eCLIP data using DEWSeq.

Thomas Schwarzl1, Sudeep Sahadevan1, Benjamin Lang2

  • 1European Molecular Biology Laboratory (EMBL), Meyerhofstraße 1, 69117 Heidelberg, Germany.

Nucleic Acids Research
|November 14, 2023
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Summary

DEWSeq enhances RNA-binding protein (RBP) site identification from eCLIP sequencing data by utilizing replicate information and input controls. This new R/Bioconductor package significantly increases the number and biological relevance of detected RBP binding sites.

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iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Enhanced crosslinking and immunoprecipitation (eCLIP) sequencing identifies RNA-binding protein (RBP) binding sites across the transcriptome.
  • Current eCLIP analysis methods suffer from low reproducibility and high false positive rates, leading to inaccurate identification of functional binding elements.
  • Existing peak-calling strategies often fail to identify biologically relevant features of RBP binding sites.

Purpose of the Study:

  • To introduce DEWSeq, a novel R/Bioconductor package designed to improve the accuracy and reliability of eCLIP data analysis.
  • To leverage replicate information and size-matched input controls for more robust RBP binding site detection.
  • To enhance the discovery of functionally relevant RBP binding sites, including those associated with specific RNA motifs, subcellular localization, and structural elements.

Main Methods:

  • Development and implementation of the DEWSeq R/Bioconductor package.
  • Benchmarking DEWSeq on 107 RBPs using eCLIP data and available RNA sequence motifs.
  • Validation of DEWSeq performance on orthogonal CLIP-seq datasets.

Main Results:

  • DEWSeq more than doubled the number of motif-containing RBP binding regions compared to standard eCLIP processing.
  • Significant improvements observed in identifying motif-containing sites (3.1-fold for RBFOX2), subcellular localization targets (1.9-fold mitochondrial genes for FASTKD2), and structural targets (2.2-fold stem-loop regions for SLBP).
  • DEWSeq recovered a 3.3-fold larger number of motif-containing binding sites on orthogonal CLIP-seq datasets.
  • The package demonstrated scalability with adequate numbers of replicates and increased the proportion of binding sites with biologically relevant features.

Conclusions:

  • DEWSeq offers a substantial improvement over standard eCLIP analysis, leading to a higher number of accurately identified RBP binding sites.
  • The package effectively identifies binding sites with known functional relevance, including motif-driven interactions, mitochondrial localization, and structural RNA targets.
  • DEWSeq is a well-documented, scalable tool that enhances the biological interpretability of eCLIP-seq data.