Evidence map›Paper›PMID 22593554›Full record

ArticleGenome research2012

Observation of dually decoded regions of the human genome using ribosome profiling data.

Audrey M Michel, Kingshuk Roy Choudhury, Andrew E Firth, Nicholas T Ingolia, John F Atkins, Pavel V Baranov

Abstract read
In one paragraph

Article in Genome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 1 pooled it
–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

115 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Article
  6. Ribo-Seq Analysis-Based Elucidation of the Dynamic Translation Landscape of Yak Ovarian Tissues in Different Reproductive Stages.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  7. Article
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  9. Article
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  13. Review
  14. Article
  15. iScience · 2023
    Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Statistical Methodology for Ribosomal Frameshift Detection.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2022
    Article

55 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

6 authors.

Audrey M MichelBiochemistry Department, University College Cork, Ireland.
Kingshuk Roy Choudhury
Andrew E Firth
Nicholas T Ingolia
John F Atkins
Pavel V Baranov

Funding

Wellcome Trust 088789Wellcome Trust 094423
6 · The paper itself

Abstract

The recently developed ribosome profiling technique (Ribo-Seq) allows mapping of the locations of translating ribosomes on mRNAs with subcodon precision. When ribosome protected fragments (RPFs) are aligned to mRNA, a characteristic triplet periodicity pattern is revealed. We utilized the triplet periodicity of RPFs to develop a computational method for detecting transitions between reading frames that occur during programmed ribosomal frameshifting or in dual coding regions where the same nucleotide sequence codes for multiple proteins in different reading frames. Application of this method to ribosome profiling data obtained for human cells allowed us to detect several human genes where the same genomic segment is translated in more than one reading frame (from different transcripts as well as from the same mRNA) and revealed the translation of hitherto unpredicted coding open reading frames.

Indexed as

Genome, HumanBinding SitesDNA, ComplementaryHumansOpen Reading FramesProtein BiosynthesisRibosomesRNA, MessengerSequence Analysis, DNADNA, ComplementaryRNA, Messenger

Identifiers

PMID22593554
PMCPMC3483551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.