Evidence map›Paper›PMID 29529017›Full record

ArticleNature methods2018

Improved Ribo-seq enables identification of cryptic translation events.

Florian Erhard, Anne Halenius, Cosima Zimmermann, Anne L'Hernault, Daniel J Kowalewski, Michael P Weekes, Stefan Stevanovic, Ralf Zimmer, Lars Dölken

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed
7.4field-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

119 citing papers in PubMed, 224 citations in OpenAlex.

  1. Review
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  8. NNature · 2026
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  12. Identification and Characterization of Microproteins/ MicroORFs.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
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  17. Review
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  20. Personalizing DNA Cancer Vaccines.Journal of personalized medicine · 2025
    Review

59 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 at 7 institutions in 2 countries.

Florian ErhardInstitute for Informatics, Ludwig-Maximilians-Universität München, München, Germany.ORCID 0000-0002-3574-6983
Anne HaleniusInstitute of Virology, Medical Center, University of Freiburg, Freiburg, Germany.
Cosima ZimmermannInstitute of Virology, Medical Center, University of Freiburg, Freiburg, Germany.
Anne L'HernaultInnovative Medicines & Early Development, AstraZeneca UK Ltd, Cambridge, UK.
Daniel J KowalewskiInterfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.
Michael P WeekesCambridge Institute for Medical Research, University of Cambridge, Cambridge, UK.
Stefan StevanovicInterfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.
Ralf ZimmerInstitute for Informatics, Ludwig-Maximilians-Universität München, München, Germany.
Lars DölkenInstitute for Virology and Immunobiology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID 0000-0002-4651-3544
University of Freiburg · DEUniversity of Würzburg · DEAstraZeneca (United Kingdom) · GBImmatics Biotechnologies (Germany) · DELudwig-Maximilians-Universität München · DEUniversity of Cambridge · GBUniversity of Tübingen · DE

Funding

Medical Research Council G1002523Wellcome Trust
6 · The paper itself

Abstract

Ribosome profiling has been used to predict thousands of short open reading frames (sORFs) in eukaryotic cells, but it suffers from substantial levels of noise. PRICE (https://github.com/erhard-lab/price) is a computational method that models experimental noise to enable researchers to accurately resolve overlapping sORFs and noncanonical translation initiation. We experimentally validated translation using major histocompatibility complex class I (MHC I) peptidomics and observed that sORF-derived peptides efficiently enter the MHC I presentation pathway and thus constitute a substantial fraction of the antigen repertoire.

Indexed as

Computational BiologyGenes, MHC Class IModels, BiologicalPeptidesProtein BiosynthesisProtein FootprintingProteomicsRibosomesSoftwarePeptides

Identifiers

PMID29529017
PMCPMC6152898
OpenAlexW2790274448

What OpenQuestion holds

Textmetadata
LicenceTDM
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.