Evidence map›Paper›PMID 38431639›Full record

ArticleNature communications2024

Widespread stable noncanonical peptides identified by integrated analyses of ribosome profiling and ORF features.

Haiwang Yang, Qianru Li, Emily K Stroup, Sheng Wang, Zhe Ji

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. An upstream open reading frame represses translation of the neuronal potassium channel KCNQ2.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  9. Article
  10. Review
  11. Article
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  14. Article
  15. Article
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  17. Article
  18. Microproteins: Uncovering Hidden Layers of the Proteome.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  19. Article
  20. 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.

Haiwang Yang *Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Qianru Li *Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Emily K StroupDepartment of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.ORCID 0000-0001-8053-0295
Sheng WangDepartment of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, 60628, USA.
Zhe JiDepartment of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA. zhe.ji@northwestern.edu.ORCID 0000-0002-1809-8099

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LEONIDAS C. PLATANIAS · 1993 to 2026
$153.9M
TR&D 7: Cell Specific ProteomicsP41GM108569 · NIGMS · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L · 2015 to 2024
$13.6M
Characterizing functional translation in putative 'noncoding' regions of a genome: Admin SupplR35GM138192 · NIGMS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI JI, ZHE · 2020 to 2024
$2.1M
An ultra-low-input RNase footprinting assay to quantify cytosolic and mitochondrial translation simultaneouslyR01HL161389 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI JI, ZHE · 2022 to 2025
$1.9M
Predoctoral Training Program in Biomedical Data Driven Discovery (BD3)T32LM012203 · NLM · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KLABJAN, DIEGO, STARREN, JUSTIN B. · 2015 to 2019
$1.1M
Acquisition of a Thermo Fisher Scientific Q Exactive UHMR mass spectrometerS10OD025194 · OD · NORTHWESTERN UNIVERSITY · PI COMPTON, PHILIP DANIEL · 2018 to 2018
$795k
Dissect regulation of RNA translation in human cancersR00CA207865 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI JI, ZHE · 2018 to 2020
$705k
NCI NIH HHS P30 CA060553NCI NIH HHS R00 CA207865NHLBI NIH HHS R01 HL161389NIGMS NIH HHS P41 GM108569NIGMS NIH HHS R35 GM138192NIH HHS S10 OD025194NLM NIH HHS T32 LM012203
6 · The paper itself

Abstract

Studies have revealed dozens of functional peptides in putative 'noncoding' regions and raised the question of how many proteins are encoded by noncanonical open reading frames (ORFs). Here, we comprehensively annotate genome-wide translated ORFs across five eukaryotes (human, mouse, zebrafish, worm, and yeast) by analyzing ribosome profiling data. We develop a logistic regression model named PepScore based on ORF features (expected length, encoded domain, and conservation) to calculate the probability that the encoded peptide is stable in humans. Systematic ectopic expression validates PepScore and shows that stable complex-associating microproteins can be encoded in 5'/3' untranslated regions and overlapping coding regions of mRNAs besides annotated noncoding RNAs. Stable noncanonical proteins follow conventional rules and localize to different subcellular compartments. Inhibition of proteasomal/lysosomal degradation pathways can stabilize some peptides especially those with moderate PepScores, but cannot rescue the expression of short ones with low PepScores suggesting they are directly degraded by cellular proteases. The majority of human noncanonical peptides with high PepScores show longer lengths but low conservation across species/mammals, and hundreds contain trait-associated genetic variants. Our study presents a statistical framework to identify stable noncanonical peptides in the genome and provides a valuable resource for functional characterization of noncanonical translation during development and disease.

Indexed as

Ribosome ProfilingRibosomesAnimalsHumansMammalsMiceOpen Reading FramesPeptidesZebrafishPeptides

Identifiers

PMID38431639
PMCPMC10908861

What OpenQuestion holds

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LicenceCC BY
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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.