Evidence map›Paper›PMID 36178469›Full record

ArticleeLife2022

Protein evidence of unannotated ORFs in

Eric B Zheng, Li Zhao

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. DetectNAR genomics and bioinformatics · 2026
    Article
  2. Review
  3. Article
  4. Impact of GC content on de novo gene birth.Nature communications · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Orphan genes are not a distinct biological entity.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  12. De Novo Genes.Annual review of genetics · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Identifying candidatebioRxiv : the preprint server for biology · 2023
    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

2 authors.

Eric B ZhengLaboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, United States.ORCID 0000-0002-6302-3635
Li ZhaoLaboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, United States.ORCID 0000-0001-6776-1996

Funding

Weill Cornell/Rockefeller/Sloan-Kettering MST ProgramT32GM007739 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI HSU, KATHARINE C · 1985 to 2023
$51.1M
The genetic and epigenetic mechanisms of phenotypic innovationhttps://apps.era.nih.gov/gm/reportCheckList.do?applicationID=9798249R35GM133780 · NIGMS · ROCKEFELLER UNIVERSITY · PI Li Zhao · 2019 to 2026
$3.5M
NIGMS NIH HHS R35 GM133780NIGMS NIH HHS T32 GM007739
6 · The paper itself

Abstract

De novo gene origination, where a previously nongenic genomic sequence becomes genic through evolution, is increasingly recognized as an important source of novelty. Many de novo genes have been proposed to be protein-coding, and a few have been experimentally shown to yield protein products. However, the systematic study of de novo proteins has been hampered by doubts regarding their translation without the experimental observation of protein products. Using a systematic, mass-spectrometry-first computational approach, we identify 993 unannotated open reading frames with evidence of translation (utORFs) in

Indexed as

DrosophilaDrosophila melanogasterAnimalsEvolution, MolecularMaleOpen Reading FramesProteinsProteinsde novo proteinD. melanogasterDrosophilaevolutionevolutionary biologygeneticsgenomicslatent class analysismass spectrometryribosome profilingturnoverutORFs

Identifiers

PMID36178469
PMCPMC9560153

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.