Evidence map›Paper›PMID 19561398›Full record

ArticleExperimental & molecular medicine2009

Comparative study of synonymous codon usage variations between the nucleocapsid and spike genes of coronavirus, and C-type lectin domain genes of human and mouse.

Insung Ahn, Byeong-Jin Jeong, Hyeon Seok Son

Open access · goldAbstract readComparative Study
In one paragraph

Article in Experimental & molecular medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 91% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Insung AhnSupercomputing Center, Korea Institute of Science and Technology Information, Daejon 305-806, Korea.
Byeong-Jin Jeong
Hyeon Seok Son
Seoul National University · KRKorea Institute of Science & Technology Information · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronaviruses (CoVs) are single-stranded RNA viruses which contain the largest RNA genomes, and severe acute respiratory syndrome coronavirus (SARS-CoV), a newly found group 2 CoV, emerged as infectious disease with high mortality rate. In this study, we compared the synonymous codon usage patterns between the nucleocapsid and spike genes of CoVs, and C-type lectin domain (CTLD) genes of human and mouse on the codon basis. Findings indicate that the nucleocapsid genes of CoVs were affected from the synonymous codon usage bias than spike genes, and the CTLDs of human and mouse partially overlapped with the nucleocapsid genes of CoVs. In addition, we observed that CTLDs which showed the similar relative synonymous codon usage (RSCU) patterns with CoVs were commonly derived from the human chromosome 12, and mouse chromosome 6 and 12, suggesting that there might be a specific genomic region or chromosomes which show a more similar synonymous codon usage pattern with viral genes. Our findings contribute to developing the codon-optimization method in DNA vaccines, and further study is needed to determine a specific correlation between the codon usage patterns and the chromosomal locations in higher organisms.

Indexed as

AnimalsCodonHumansLectins, C-TypeMembrane GlycoproteinsMiceNucleocapsidPhylogenySevere Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusSpecies SpecificitySpike Glycoprotein, CoronavirusVaccines, DNAViral Envelope ProteinsVirus AttachmentCodonLectins, C-TypeMembrane GlycoproteinsSpike Glycoprotein, CoronavirusVaccines, DNAViral Envelope Proteins

Identifiers

PMID19561398
PMCPMC2772977
OpenAlexW1995050388

What OpenQuestion holds

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Registered trials

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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.