Evidence map›Paper›PMID 36440758›Full record

ArticleNucleic acids research2023

Ribo-uORF: a comprehensive data resource of upstream open reading frames (uORFs) based on ribosome profiling.

Qi Liu, Xin Peng, Mengyuan Shen, Qian Qian, Junlian Xing, Chen Li, Richard I Gregory

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Functional analysis ofMolecular therapy. Nucleic acids · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. RiboMicrobe: An Integrated Translatome Atlas for Microorganism.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Evaluation of Eukaryotic mRNA Coding Potential.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
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

7 authors.

Qi LiuRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
Xin PengRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
Mengyuan ShenRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.ORCID 0000-0002-2038-1774
Qian QianRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
Junlian XingRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
Chen LiRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.ORCID 0000-0001-6702-6860
Richard I GregoryStem Cell Program, Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0001-8090-8673

Funding

Role of the Epitranscriptome in CancerR35CA232115 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GREGORY, RICHARD I. · 2019 to 2025
$7.2M
Role of METTL3 and the m6A Epitranscriptome in cancerR01CA233671 · NCI · BOSTON CHILDREN'S HOSPITAL · PI GREGORY, RICHARD I., KIM, CARLA F. · 2020 to 2024
$3.2M
NCI NIH HHS R01 CA233671NCI NIH HHS R35 CA232115
6 · The paper itself

Abstract

Upstream open reading frames (uORFs) are typically defined as translation sites located within the 5' untranslated region upstream of the main protein coding sequence (CDS) of messenger RNAs (mRNAs). Although uORFs are prevalent in eukaryotic mRNAs and modulate the translation of downstream CDSs, a comprehensive resource for uORFs is currently lacking. We developed Ribo-uORF (http://rnainformatics.org.cn/RiboUORF) to serve as a comprehensive functional resource for uORF analysis based on ribosome profiling (Ribo-seq) data. Ribo-uORF currently supports six species: human, mouse, rat, zebrafish, fruit fly, and worm. Ribo-uORF includes 501 554 actively translated uORFs and 107 914 upstream translation initiation sites (uTIS), which were identified from 1495 Ribo-seq and 77 quantitative translation initiation sequencing (QTI-seq) datasets, respectively. We also developed mRNAbrowse to visualize items such as uORFs, cis-regulatory elements, genetic variations, eQTLs, GWAS-based associations, RNA modifications, and RNA editing. Ribo-uORF provides a very intuitive web interface for conveniently browsing, searching, and visualizing uORF data. Finally, uORFscan and UTR5var were developed in Ribo-uORF to precisely identify uORFs and analyze the influence of genetic mutations on uORFs using user-uploaded datasets. Ribo-uORF should greatly facilitate studies of uORFs and their roles in mRNA translation and posttranscriptional control of gene expression.

Indexed as

Open Reading FramesRibosome Profiling5' Untranslated RegionsAnimalsComputational BiologyEukaryotaHumansProtein BiosynthesisRNA, Messenger5' Untranslated RegionsRNA, Messenger

Identifiers

PMID36440758
PMCPMC9825487

What OpenQuestion holds

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LicenceCC BY
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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.