Evidence map›Paper›PMID 26391121›Full record

ArticleBMC bioinformatics2015

ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization.

Edward Daniel, Goodluck U Onwukwe, Rik K Wierenga, Susan E Quaggin, Seppo J Vainio, Mirja Krause

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

26 citing papers in PubMed, 54 citations in OpenAlex.

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  13. Codon-optimization in gene therapy: promises, prospects and challenges.Frontiers in bioengineering and biotechnology · 2024
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  14. Expression and Functional Analysis of the Compact ThermophilicInternational journal of molecular sciences · 2023
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  16. Refining theAnimals : an open access journal from MDPI · 2022
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  17. Advances in COVID-19 mRNA vaccine development.Signal transduction and targeted therapy · 2022
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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

6 authors at 2 institutions in 2 countries.

Edward DanielBiocenter Oulu, Faculty of Biochemistry and Molecular Medicine, Structural Biochemistry, University of Oulu, Oulu, Finland. edward.daniel@oulu.fi.
Goodluck U OnwukweBiocenter Oulu, Faculty of Biochemistry and Molecular Medicine, Structural Biochemistry, University of Oulu, Oulu, Finland. goodluck.onwukwe@oulu.fi.
Rik K WierengaBiocenter Oulu, Faculty of Biochemistry and Molecular Medicine, Structural Biochemistry, University of Oulu, Oulu, Finland. rik.wierenga@oulu.fi.
Susan E QuagginFeinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA. quaggin@northwestern.edu.
Seppo J VainioBiocenter Oulu, Laboratory of Developmental Biology, InfoTech Oulu, Center for Cell Matrix Research, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Aapistie 5A, FIN-90220, Oulu, Finland. seppo.vainio@oulu.fi.
Mirja KrauseBiocenter Oulu, Laboratory of Developmental Biology, InfoTech Oulu, Center for Cell Matrix Research, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Aapistie 5A, FIN-90220, Oulu, Finland. mirja.krause@oulu.fi.
University of Oulu · FINorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCodon usage plays a crucial role when recombinant proteins are expressed in different organisms. This is especially the case if the codon usage frequency of the organism of origin and the target host organism differ significantly, for example when a human gene is expressed in E. coli. Therefore, to enable or enhance efficient gene expression it is of great importance to identify rare codons in any given DNA sequence and subsequently mutate these to codons which are more frequently used in the expression host.

resultsWe describe an open-source web-based application, ATGme, which can in a first step identify rare and highly rare codons from most organisms, and secondly gives the user the possibility to optimize the sequence.

conclusionsThis application provides a simple user-friendly interface utilizing three optimization strategies: 1. one-click optimization, 2. bulk optimization (by codon-type), 3. individualized custom (codon-by-codon) optimization. ATGme is an open-source application which is freely available at: http://atgme.org.

Indexed as

InternetSoftwareBase SequenceCodonDNAEscherichia coliGene Expression RegulationHumansMolecular Sequence DataRecombinant ProteinsSaccharomyces cerevisiaeSequence Analysis, DNASequence Homology, Nucleic AcidCodonDNARecombinant Proteins

Identifiers

PMID26391121
PMCPMC4578782
OpenAlexW1908082931

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.