Evidence map›Paper›PMID 37962298›Full record

ArticleNucleic acids research2024

Improved discovery of RNA-binding protein binding sites in eCLIP data using DEWSeq.

Thomas Schwarzl, Sudeep Sahadevan, Benjamin Lang, Milad Miladi, Rolf Backofen, Wolfgang Huber, Matthias W Hentze, Gian Gaetano Tartaglia

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 4 institutions in 3 countries.

Thomas SchwarzlEuropean Molecular Biology Laboratory (EMBL), Meyerhofstraße 1, 69117 Heidelberg, Germany.ORCID 0000-0001-7697-7000
Sudeep SahadevanEuropean Molecular Biology Laboratory (EMBL), Meyerhofstraße 1, 69117 Heidelberg, Germany.ORCID 0000-0003-2480-0937
Benjamin LangDepartment of Structural Biology and Center of Excellence for Data-Driven Discovery, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105, USA.ORCID 0000-0001-6358-8380
Milad MiladiBioinformatics Group, Department of Computer Science, University of Freiburg, 79098 Freiburg im Breisgau, Germany.ORCID 0000-0002-0173-3009
Rolf BackofenBioinformatics Group, Department of Computer Science, University of Freiburg, 79098 Freiburg im Breisgau, Germany.ORCID 0000-0001-8231-3323
Wolfgang HuberEuropean Molecular Biology Laboratory (EMBL), Meyerhofstraße 1, 69117 Heidelberg, Germany.ORCID 0000-0002-0474-2218
Matthias W HentzeEuropean Molecular Biology Laboratory (EMBL), Meyerhofstraße 1, 69117 Heidelberg, Germany.ORCID 0000-0002-4023-7876
Gian Gaetano TartagliaCenter for Life Nano & Neuroscience, Italian Institute of Technology, 00161 Rome, Italy and Department of Biology, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0001-7524-6310
European Molecular Biology Laboratory · DEUniversity of Freiburg · DEItalian Institute of Technology · ITSt. Jude Children's Research Hospital · US

Funding

DFG SFB1550EMBL Interdisciplinary Postdoc 291772ERC ASTRA_855923European Union's Horizon 2020 793135Manfred Lautenschläger FoundationNational Center for Gene Therapy and Drugs CN00000041
6 · The paper itself

Abstract

Enhanced crosslinking and immunoprecipitation (eCLIP) sequencing is a method for transcriptome-wide detection of binding sites of RNA-binding proteins (RBPs). However, identified crosslink sites can deviate from experimentally established functional elements of even well-studied RBPs. Current peak-calling strategies result in low replication and high false positive rates. Here, we present the R/Bioconductor package DEWSeq that makes use of replicate information and size-matched input controls. We benchmarked DEWSeq on 107 RBPs for which both eCLIP data and RNA sequence motifs are available and were able to more than double the number of motif-containing binding regions relative to standard eCLIP processing. The improvement not only relates to the number of binding sites (3.1-fold with known motifs for RBFOX2), but also their subcellular localization (1.9-fold of mitochondrial genes for FASTKD2) and structural targets (2.2-fold increase of stem-loop regions for SLBP. On several orthogonal CLIP-seq datasets, DEWSeq recovers a larger number of motif-containing binding sites (3.3-fold). DEWSeq is a well-documented R/Bioconductor package, scalable to adequate numbers of replicates, and tends to substantially increase the proportion and total number of RBP binding sites containing biologically relevant features.

Indexed as

RNA-Binding ProteinsSoftwareBinding SitesImmunoprecipitationProtein BindingRNARNARNA-Binding Proteins

Identifiers

PMID37962298
PMCPMC10783507
OpenAlexW4388656254

What OpenQuestion holds

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LicenceCC BY-NC
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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.