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Transcriptome-wide identification of RNA-binding protein binding sites using seCLIP-seq.

Steven M Blue, Brian A Yee, Gabriel A Pratt, Jasmine R Mueller, Samuel S Park, Alexander A Shishkin, Anne C Starner, Eric L Van Nostrand, Gene W Yeo

Nature protocols · 2022 · Vol. 17 (5) · pp. 1223-1265

Abstract

Discovery of interaction sites between RNA-binding proteins (RBPs) and their RNA targets plays a critical role in enabling our understanding of how these RBPs control RNA processing and regulation. Cross-linking and immunoprecipitation (CLIP) provides a generalizable, transcriptome-wide method by which RBP/RNA complexes are purified and sequenced to identify sites of intermolecular contact. By simplifying technical challenges in prior CLIP methods and incorporating the generation of and quantitative comparison against size-matched input controls, the single-end enhanced CLIP (seCLIP) protocol allows for the profiling of these interactions with high resolution, efficiency and scalability. Here, we present a step-by-step guide to the seCLIP method, detailing critical steps and offering insights regarding troubleshooting and expected results while carrying out the ~4-d protocol. Furthermore, we describe a comprehensive bioinformatics pipeline that offers users the tools necessary to process two replicate datasets and identify reproducible and significant peaks for an RBP of interest in ~2 d.

Linked datasets 1

GSE180686 GSE · via ncbi_elink
GEO ↗

Transcriptome-wide identification of RNA binding protein binding sites using seCLIP-seq

Homo sapiens

9 data files
FileTypeSize
4114_CLIP1_S39_L002_R1_001.fastq.gz RIP-Seq 684.8 MB
4114_CLIP2_S41_L002_R1_001.fastq.gz RIP-Seq 645.2 MB
4114_INPUT1_S38_L002_R1_001.fastq.gz RIP-Seq 655.7 MB
4114_INPUT2_S40_L002_R1_001.fastq.gz RIP-Seq 629.8 MB
SRR15222627_GSM5468035 RIP-Seq 684.0 MB
SRR15222628_GSM5468036 RIP-Seq 655.0 MB
SRR15222629_GSM5468037 RIP-Seq 645.0 MB
SRR15222630_GSM5468038 RIP-Seq 629.0 MB
SRR15222630.lite RIP-Seq 629.8 MB

Potentially related datasets 2

These accessions were text-mined from the PMC full text. They may be referenced for comparison, cited from other studies, or otherwise mentioned without being primary data for this paper.

Accession Source Title
ENCFF159KBI ENCFF · ENCODE No title in the index
GSE180686 GSE · GEO GEO ↗ Transcriptome-wide identification of RNA binding protein binding sites using seCLIP-seq

Analysis pipelines 1

Pipeline Assay Steps Dataset
GSE180686 eCLIP Data Processing geo_data_processing eCLIP 20 GSE180686
Funding 5 grants
Grant Funder
U24 HG009889 NHGRI NIH HHS (United States)
R01 HG004659 NHGRI NIH HHS (United States)
R00 HG009530 NHGRI NIH HHS (United States)
U41 HG009889 NHGRI NIH HHS (United States)
K99 HG009530 NHGRI NIH HHS (United States)