Evidence map›Paper›PMID 37388912›Full record

ArticleCell genomics2023

Skipper analysis of eCLIP datasets enables sensitive detection of constrained translation factor binding sites.

Evan A Boyle, Hsuan-Lin Her, Jasmine R Mueller, Jack T Naritomi, Grady G Nguyen, Gene W Yeo

Abstract read
In one paragraph

Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  9. Allele-specific splicing modulates protein isoforms and Alzheimer's risk.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
  12. IGF2BP3 remodels the microRNA targeting landscape in MLL-AF4 leukemia.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. RNA triggers chronic stress during neuronal aging.bioRxiv : the preprint server for biology · 2025
    Article
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  19. Review
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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

6 authors.

Evan A BoyleDepartment of Cellular and Molecular Medicine, Institute for Genomic Medicine, UCSD Stem Cell Program, University of California San Diego, La Jolla, CA 92093, USA.
Hsuan-Lin HerDepartment of Cellular and Molecular Medicine, Institute for Genomic Medicine, UCSD Stem Cell Program, University of California San Diego, La Jolla, CA 92093, USA.
Jasmine R MuellerDepartment of Cellular and Molecular Medicine, Institute for Genomic Medicine, UCSD Stem Cell Program, University of California San Diego, La Jolla, CA 92093, USA.
Jack T NaritomiDepartment of Cellular and Molecular Medicine, Institute for Genomic Medicine, UCSD Stem Cell Program, University of California San Diego, La Jolla, CA 92093, USA.
Grady G NguyenDepartment of Cellular and Molecular Medicine, Institute for Genomic Medicine, UCSD Stem Cell Program, University of California San Diego, La Jolla, CA 92093, USA.
Gene W YeoDepartment of Cellular and Molecular Medicine, Institute for Genomic Medicine, UCSD Stem Cell Program, University of California San Diego, La Jolla, CA 92093, USA.

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
STAMP technology to enable single-cell and isoform-sensitive detection of RBP sitesR01HG011864 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI YEO, EUGENE WEI-MING · 2021 to 2024
$4.0M
Ribo-STAMPEDE: novel tools for molecular profiling of brain cell typesRF1MH126719 · NIMH · SCRIPPS RESEARCH INSTITUTE, THE · PI LIPPI, GIORDANO, YEO, EUGENE WEI-MING · 2022 to 2022
$2.3M
NovaSeq5000 High Throughput SequencerS10OD025052 · OD · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI SEUMOIS, GREGORY · 2018 to 2018
$832k
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
NHGRI NIH HHS R01 HG004659NHGRI NIH HHS R01 HG011864NHGRI NIH HHS U24 HG009889NHGRI NIH HHS U41 HG009889NIH HHS S10 OD025052NIH HHS S10 OD026929NIMH NIH HHS RF1 MH126719
6 · The paper itself

Abstract

Technology for crosslinking and immunoprecipitation (CLIP) followed by sequencing (CLIP-seq) has identified the transcriptomic targets of hundreds of RNA-binding proteins in cells. To increase the power of existing and future CLIP-seq datasets, we introduce Skipper, an end-to-end workflow that converts unprocessed reads into annotated binding sites using an improved statistical framework. Compared with existing methods, Skipper on average calls 210%-320% more transcriptomic binding sites and sometimes >1,000% more sites, providing deeper insight into post-transcriptional gene regulation. Skipper also calls binding to annotated repetitive elements and identifies bound elements for 99% of enhanced CLIP experiments. We perform nine translation factor enhanced CLIPs and apply Skipper to learn determinants of translation factor occupancy, including transcript region, sequence, and subcellular localization. Furthermore, we observe depletion of genetic variation in occupied sites and nominate transcripts subject to selective constraint because of translation factor occupancy. Skipper offers fast, easy, customizable, and state-of-the-art analysis of CLIP-seq data.

Indexed as

CLIPgene regulationRNARNA-binding proteinstranscriptomicstranslation

Identifiers

PMID37388912
PMCPMC10300551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.