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
Transcriptome-wide identification of RNA binding protein binding sites using seCLIP-seq
Homo sapiens
9 data files
| File | Type | Size |
|---|---|---|
| 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) |