Evidence map›Paper›PMID 38955188›Full record

ArticleCell genomics2024

Mudskipper detects combinatorial RNA binding protein interactions in multiplexed CLIP data.

Hsuanlin Her, Katherine L Rothamel, Grady G Nguyen, Evan A Boyle, Gene W Yeo

Abstract read
In one paragraph

Article in Cell genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Hsuanlin HerDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Sanford Stem Cell Institute Innovation Center and Stem Cell Program, University of California, San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA.
Katherine L RothamelDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Sanford Stem Cell Institute Innovation Center and Stem Cell Program, University of California, San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
Grady G NguyenDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Sanford Stem Cell Institute Innovation Center and Stem Cell Program, University of California, San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
Evan A BoyleDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Sanford Stem Cell Institute Innovation Center and Stem Cell Program, University of California, San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
Gene W YeoDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Sanford Stem Cell Institute Innovation Center and Stem Cell Program, University of California, San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: geneyeo@ucsd.edu.

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
Predoctoral and Postdoctoral Training in Cancer Cell BiologyT32CA067754 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEAN Y.J. WANG · 1995 to 2026
$6.5M
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
NCI NIH HHS T32 CA067754NHGRI NIH HHS R01 HG004659NHGRI NIH HHS U24 HG009889
6 · The paper itself

Abstract

The uncovering of protein-RNA interactions enables a deeper understanding of RNA processing. Recent multiplexed crosslinking and immunoprecipitation (CLIP) technologies such as antibody-barcoded eCLIP (ABC) dramatically increase the throughput of mapping RNA binding protein (RBP) binding sites. However, multiplex CLIP datasets are multivariate, and each RBP suffers non-uniform signal-to-noise ratio. To address this, we developed Mudskipper, a versatile computational suite comprising two components: a Dirichlet multinomial mixture model to account for the multivariate nature of ABC datasets and a softmasking approach that identifies and removes non-specific protein-RNA interactions in RBPs with low signal-to-noise ratio. Mudskipper demonstrates superior precision and recall over existing tools on multiplex datasets and supports analysis of repetitive elements and small non-coding RNAs. Our findings unravel splicing outcomes and variant-associated disruptions, enabling higher-throughput investigations into diseases and regulation mediated by RBPs.

Indexed as

RNA-Binding ProteinsBinding SitesComputational BiologyHumansImmunoprecipitationProtein BindingRNASoftwareRNARNA-Binding ProteinsCLIPdeep learninggene regulationRNARNA-binding proteinssplicingtranscriptomicsvariant interpretation

Identifiers

PMID38955188
PMCPMC11639743

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LicenceCC BY-NC-ND
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Registered trials

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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.