Evidence map›Paper›PMID 26019240›Full record

ArticleBioinformatics (Oxford, England)2015

GC3-biased gene domains in mammalian genomes.

Wenlong Shen, Dong Wang, Bingyu Ye, Minglei Shi, Lei Ma, Yan Zhang, Zhihu Zhao

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Transgene sequence codon optimization and composition determines replication competence of self-amplifying RNA.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  2. Patterns and drivers of genome-wide codon usage bias in the fungal order Sordariales.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
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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

7 authors.

Wenlong ShenBeijing Institute of Biotechnology, Beijing 100071, China.
Dong WangBeijing Institute of Biotechnology, Beijing 100071, China.
Bingyu YeBeijing Institute of Biotechnology, Beijing 100071, China, College of Life Sciences, Capital Normal University, Beijing 100048, China and.
Minglei ShiBeijing Institute of Biotechnology, Beijing 100071, China.
Lei MaCollege of Life Sciences, Shihezi University, Shihezi 832003, China.
Yan ZhangBeijing Institute of Biotechnology, Beijing 100071, China.
Zhihu ZhaoBeijing Institute of Biotechnology, Beijing 100071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationSynonymous codon usage bias has been shown to be correlated with many genomic features among different organisms. However, the biological significance of codon bias with respect to gene function and genome organization remains unclear.

resultsGuanine and cytosine content at the third codon position (GC3) could be used as a good indicator of codon bias. Here, we used relative GC3 bias values to compare the strength of GC3 bias of genes in human and mouse. We reported, for the first time, that GC3-rich and GC3-poor gene products might have distinct sub-cellular spatial distributions. Moreover, we extended the view of genomic gene domains and identified conserved GC3 biased gene domains along chromosomes. Our results indicated that similar GC3 biased genes might be co-translated in specific spatial regions to share local translational machineries, and that GC3 could be involved in the organization of genome architecture. AVAILABILITY AND IMPLEMENTATION: Source code is available upon request from the authors. CONTACT: zhaozh@nic.bmi.ac.cn or zany1983@gmail.com SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

GenesAnimalsBase CompositionCodonHumansMammalsMiceSubcellular FractionsCodon

Identifiers

PMID26019240
PMCPMC4576692

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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.