Evidence map›Paper›PMID 38000896›Full record

ArticleThe Plant cell2024

Improved super-resolution ribosome profiling reveals prevalent translation of upstream ORFs and small ORFs in Arabidopsis.

Hsin-Yen Larry Wu, Qiaoyun Ai, Rita Teresa Teixeira, Phong H T Nguyen, Gaoyuan Song, Christian Montes, J Mitch Elmore, Justin W Walley, Polly Yingshan Hsu

Open access · hybridAbstract read
In one paragraph

Article in The Plant cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. TheGenes · 2026
    Article
  7. Review
  8. Article
  9. Translational landscape during seed germination revealed by ribosome profiling.The Plant journal : for cell and molecular biology · 2026
    Article
  10. Article
  11. Review
  12. Plant microRNA maturation and function.Nature reviews. Molecular cell biology · 2026
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. TheGenome research · 2025
    Article
  19. Article
  20. 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

9 authors at 2 institutions in 1 country.

Hsin-Yen Larry WuDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0001-9407-338X
Qiaoyun AiDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA.ORCID 0009-0007-5944-4967
Rita Teresa TeixeiraDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0002-9373-0760
Phong H T NguyenDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA.
Gaoyuan SongDepartment of Plant Pathology, Entomology, and Microbiology, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-1633-9159
Christian MontesDepartment of Plant Pathology, Entomology, and Microbiology, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-1249-2308
J Mitch ElmoreDepartment of Plant Pathology, Entomology, and Microbiology, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-4068-0373
Justin W WalleyDepartment of Plant Pathology, Entomology, and Microbiology, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0001-7553-2237
Polly Yingshan HsuDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0001-7071-5798
Michigan State University · USIowa State University · US

Funding

Pacific Biosciences PacBio RS Single Molecule Real Time SequencerS10OD018174 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ROKHSAR, DANIEL SOLEYMAN · 2014 to 2014
$600k
NIH HHS S10 OD018174
6 · The paper itself

Abstract

A crucial step in functional genomics is identifying actively translated ORFs and linking them to biological functions. The challenge lies in identifying short ORFs, as their identification is greatly influenced by data quality and depth. Here, we improved the coverage of super-resolution Ribo-seq in Arabidopsis (Arabidopsis thaliana), revealing uncharacterized translation events for nuclear, chloroplastic, and mitochondrial genes. Assisted by a transcriptome assembly, we identified 7,751 unconventional translation events, comprising 6,996 upstream ORFs (uORFs) and 209 downstream ORFs on annotated protein-coding genes, as well as 546 ORFs in presumed noncoding RNAs. Proteomic data confirmed the production of stable proteins from some of these unannotated translation events. We present evidence of active translation from primary transcripts of trans-acting small interfering RNAs (TAS1-4) and microRNAs (pri-MIR163 and pri-MIR169) and periodic ribosome stalling supporting cotranslational decay. Additionally, we developed a method for identifying extremely short uORFs, including 370 minimum uORFs (AUG-stop), and 2,921 tiny uORFs (2 to 10 amino acids) and 681 uORFs that overlap with each other. Remarkably, these short uORFs exhibit strong translational repression as do longer uORFs. We also systematically discovered 594 uORFs regulated by alternative splicing, suggesting widespread isoform-specific translational control. Finally, these prevalent uORFs are associated with numerous important pathways. In summary, our improved Arabidopsis translational landscape provides valuable resources to study gene expression regulation.

Indexed as

ArabidopsisMicroRNAsOpen Reading FramesProtein BiosynthesisProteomicsRibosome ProfilingMicroRNAsMIRN163 microRNA, Arabidopsis

Identifiers

PMID38000896
PMCPMC10896292
OpenAlexW4388990604

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.