Evidence map›Paper›PMID 17511511›Full record

ArticlePLoS computational biology2007

A first look at ARFome: dual-coding genes in mammalian genomes.

Wen-Yu Chung, Samir Wadhawan, Radek Szklarczyk, Sergei Kosakovsky Pond, Anton Nekrutenko

Abstract read
In one paragraph

Article in PLoS computational biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. iScience · 2023
    Article
  9. Article
  10. Article
  11. Understanding small ORF diversity through a comprehensive transcription feature classification.DNA research : an international journal for rapid publication of reports on genes and genomes · 2021
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. G3 (Bethesda, Md.) · 2019
    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

5 authors.

Wen-Yu ChungCenter for Comparative Genomics and Bioinformatics, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Samir Wadhawan
Radek Szklarczyk
Sergei Kosakovsky Pond
Anton Nekrutenko

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
Southern California Primary Infection ProgramU01AI043638 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 1998 to 2010
$21.3M
Biomathematical analysis of viral dynamics/evolutionR01AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 2001 to 2011
$3.2M
Modeling HIV Escape from Neutralizing Antibody ResponesR01AI057167 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FROST, SIMON DAVID WILLIAM · 2004 to 2008
$1.2M
Biomathematical Analysis of Viral Dynamics and EvolutionR56AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POND, SERGEI L KOSAKOVSKY · 2012 to 2012
$365k
BIOMATHEMATICAL ANALYSIS OF VIRAL DYNAMICS AND EVOLUTIONR21AI047745 · NIAID · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI RICHMAN, DOUGLAS D · 2000 to 2000
$308k
NIAID NIH HHS AI36214NIAID NIH HHS AI43638NIAID NIH HHS AI47745NIAID NIH HHS AI57167NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI047745NIAID NIH HHS R01 AI057167NIAID NIH HHS R21 AI047745NIAID NIH HHS R56 AI047745NIAID NIH HHS U01 AI043638
6 · The paper itself

Abstract

Coding of multiple proteins by overlapping reading frames is not a feature one would associate with eukaryotic genes. Indeed, codependency between codons of overlapping protein-coding regions imposes a unique set of evolutionary constraints, making it a costly arrangement. Yet in cases of tightly coexpressed interacting proteins, dual coding may be advantageous. Here we show that although dual coding is nearly impossible by chance, a number of human transcripts contain overlapping coding regions. Using newly developed statistical techniques, we identified 40 candidate genes with evolutionarily conserved overlapping coding regions. Because our approach is conservative, we expect mammals to possess more dual-coding genes. Our results emphasize that the skepticism surrounding eukaryotic dual coding is unwarranted: rather than being artifacts, overlapping reading frames are often hallmarks of fascinating biology.

Indexed as

AnimalsBase SequenceChromosome MappingComputer SimulationHumansMammalsModels, GeneticMolecular Sequence DataMultigene FamilyOpen Reading FramesRNA Splice SitesSequence Analysis, DNARNA Splice Sites

Identifiers

PMID17511511
PMCPMC1868773

What OpenQuestion holds

Textmetadata
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.