Evidence map›Paper›PMID 28853213›Full record

ReviewWiley interdisciplinary reviews. RNA2018

Advances and challenges in the detection of transcriptome-wide protein-RNA interactions.

Emily C Wheeler, Eric L Van Nostrand, Gene W Yeo

Open access · hybridAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. RNA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed
8.7field-weighted citation impact, top 2% of its field
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

111 citing papers in PubMed, 174 citations in OpenAlex.

  1. Article
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  3. Differential mRNA localization of karyopherin-β2 homologs inbioRxiv : the preprint server for biology · 2026
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51 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

3 authors at 1 institution in 2 countries.

Emily C WheelerDepartment of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, CA, USA.
Eric L Van NostrandDepartment of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, CA, USA.
Gene W YeoDepartment of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, CA, USA.
University of California, San Diego · US

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
Training Program in Basic Clinical GeneticsT32GM008666 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAMILTON, BRUCE A · 1998 to 2021
$8.6M
Defining the messenger RNP code in the brainR01NS075449 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI YEO, EUGENE WEI-MING · 2012 to 2016
$3.0M
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 HG004659NIGMS NIH HHS T32 GM008666NINDS NIH HHS R01 NS075449
6 · The paper itself

Abstract

RNA binding proteins (RBPs) play key roles in determining cellular behavior by manipulating the processing of target RNAs. Robust methods are required to detect the numerous binding sites of RBPs across the transcriptome. RNA-immunoprecipitation followed by sequencing (RIP-seq) and crosslinking followed by immunoprecipitation and sequencing (CLIP-seq) are state-of-the-art methods used to identify the RNA targets and specific binding sites of RBPs. Historically, CLIP methods have been confounded with challenges such as the requirement for tens of millions of cells per experiment, low RNA yields resulting in libraries that contain a high number of polymerase chain reaction duplicated reads, and technical inconveniences such as radioactive labeling of RNAs. However, recent improvements in the recovery of bound RNAs and the efficiency of converting isolated RNAs into a library for sequencing have enhanced our ability to perform the experiment at scale, from less starting material than has previously been possible, and resulting in high quality datasets for the confident identification of protein binding sites. These, along with additional improvements to protein capture, removal of nonspecific signals, and methods to isolate noncanonical RBP targets have revolutionized the study of RNA processing regulation, and reveal a promising future for mapping the human protein-RNA regulatory network. WIREs RNA 2018, 9:e1436. doi: 10.1002/wrna.1436 This article is categorized under: RNA Interactions with Proteins and Other Molecules > Protein-RNA Recognition RNA Interactions with Proteins and Other Molecules > Protein-RNA Interactions: Functional Implications RNA Methods > RNA Analyses in Cells.

Indexed as

Gene Expression RegulationImmunoprecipitationMolecular BiologyRNA-Binding ProteinsRNA, MessengerSequence Analysis, RNARNA-Binding ProteinsRNA, Messenger

Identifiers

PMID28853213
PMCPMC5739989
OpenAlexW2752698886

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.