Sequence biases in CLIP experimental data are incorporated in protein RNA-binding models
Yaron Orenstein, Raghavendra Hosur, Sean Simmons, Jadwiga Bienkoswka, Bonnie Berger
Abstract
We report a newly-identified bias in CLIP data that results from cleaving enzyme specificity. This bias is inadvertently incorporated into standard peak calling methods [1], which identify the most likely locations where proteins bind RNA. We further show how, in downstream analysis, this bias is incorporated into models inferred by the state-of-the-art GraphProt method to predict protein RNA-binding. We call for both experimental controls to measure enzyme specificities and algorithms to identify unbiased CLIP binding sites.
02 /Specification & Classification
Click any tag to browse matching papers- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- GraphProt2: A graph neural network-based method for predicting binding sites of RNA-binding proteins
Michael Uhl, Van Dinh Tran, … Rolf Backofen·bioRxiv·Mar 6, 2021
- Improved analysis of (e)CLIP data with RCRUNCH yields a compendium of RNA-binding protein binding sites and motifs
Maria Katsantoni, Erik van Nimwegen, Mihaela Zavolan·Genome biologyPeer-reviewed·Apr 17, 2023
- Positional motif analysis reveals the extent of specificity of protein-RNA interactions observed by CLIP
Klara Kuret, Aram Gustav Amalietti, … Jernej Ule·Genome biologyPeer-reviewed·Sep 9, 2022
- PureCLIP: Capturing target-specific protein-RNA interaction footprints from single-nucleotide CLIP-seq data
Sabrina Krakau, Hugues Richard, Annalisa Marsico·Genome biologyPeer-reviewed·Dec 1, 2017
- A Deep Boosting Based Approach for Capturing the Sequence Binding Preferences of RNA-Binding Proteins from High-Throughput CLIP-Seq Data
Shuya Li, Fanghong Dong, … Jianyang Zeng·Nucleic Acids ResearchPeer-reviewed·May 23, 2017
- Data Science Issues in Understanding Protein-RNA Interactions
Anob M. Chakrabarti, Nejc Haberman, … Jernej Ule·bioRxiv·Oct 25, 2017