Evidence map›Paper›PMID 35322209›Full record

ReviewNature protocols2022

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

Abstract readReview
In one paragraph

Review in Nature protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed.

  1. NAR cancer · 2026
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  16. Review
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  20. High-throughput Screening of Sequence Elements Associated with RNA Localization.Computational and structural biotechnology journal · 2026
    Article

6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Steven M Blue *Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-0279-6690
Brian A Yee *Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Gabriel A PrattDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Jasmine R MuellerDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Samuel S ParkDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-9230-7661
Alexander A ShishkinDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Anne C StarnerVerna & Marrs McLean Department of Biochemistry & Molecular Biology and Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX, USA.
Eric L Van NostrandDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-5188-0082
Gene W YeoDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA. geneyeo@ucsd.edu.ORCID http://orcid.org/0000-0002-0799-6037

Funding

Functional RNA elements in the human genomeR01HG004659 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Kevin Daniel Corbett, Eugene Wei-Ming Yeo · 2008 to 2026
$12.4M
A Comprehensive Functional Map of Human Protein-RNA InteractionsU41HG009889 · NHGRI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI GRAVELEY, BRENTON R. · 2018 to 2021
$9.4M
A comprehensive binding and functional map of human RNA-binding proteinsU24HG009889 · NHGRI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI GRAVELEY, BRENTON R., YEO, EUGENE WEI-MING · 2022 to 2025
$5.5M
Robust, high-throughput identification of RNA processing regulators and regulatory networks genome-wideR00HG009530 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI VAN NOSTRAND, ERIC LYMAN · 2020 to 2022
$747k
Robust, high-throughput identification of RNA processing regulators and regulatory networks genome-wideK99HG009530 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI VAN NOSTRAND, ERIC LYMAN · 2017 to 2018
$250k
NHGRI NIH HHS K99 HG009530NHGRI NIH HHS R00 HG009530NHGRI NIH HHS R01 HG004659NHGRI NIH HHS U24 HG009889NHGRI NIH HHS U41 HG009889
6 · The paper itself

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.

Indexed as

RNATranscriptomeBinding SitesHigh-Throughput Nucleotide SequencingImmunoprecipitationProtein BindingRNA-Binding ProteinsRNARNA-Binding Proteins

Identifiers

PMID35322209
PMCPMC11134598

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.