Evidence map›Paper›PMID 29735666›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Codon usage of highly expressed genes affects proteome-wide translation efficiency.

Idan Frumkin, Marc J Lajoie, Christopher J Gregg, Gil Hornung, George M Church, Yitzhak Pilpel

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 1 pooled it
11.6field-weighted citation impact, top 1% 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

133 citing papers in PubMed, 1 synthesis or guideline pooled it, 276 citations in OpenAlex.

  1. Pooled it
  2. Article
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  20. Review

73 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 at 2 institutions in 2 countries.

Idan FrumkinDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.
Marc J LajoieDepartment of Genetics, Harvard Medical School, Boston, MA 02115.
Christopher J GreggDepartment of Genetics, Harvard Medical School, Boston, MA 02115.
Gil HornungThe Nancy and Stephen Grand Israel National Center for Personalized Medicine, Rehovot 76100, Israel.
George M ChurchDepartment of Genetics, Harvard Medical School, Boston, MA 02115; gchurch@genetics.med.harvard.edu pilpel@weizmann.ac.il.ORCID 0000-0003-3535-2076
Yitzhak PilpelDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel; gchurch@genetics.med.harvard.edu pilpel@weizmann.ac.il.
Harvard University · USWeizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the genetic code is redundant, synonymous codons for the same amino acid are not used with equal frequencies in genomes, a phenomenon termed "codon usage bias." Previous studies have demonstrated that synonymous changes in a coding sequence can exert significant

Indexed as

Protein BiosynthesisTranscriptomeCodonEscherichia coliEscherichia coli ProteinsEvolution, MolecularOpen Reading FramesProteomeRNA, TransferCodonEscherichia coli ProteinsProteomeRNA, Transfercodon-to-tRNA balancecodon usage evolutiongenome engineeringtranslation efficiencytRNA

Identifiers

PMID29735666
PMCPMC6003480
OpenAlexW2803275252

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.