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

BACKGROUND: Codon 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. Th...

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Autores principales: Daniel, Edward, Onwukwe, Goodluck U., Wierenga, Rik K., Quaggin, Susan E., Vainio, Seppo J., Krause, Mirja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4578782/
https://www.ncbi.nlm.nih.gov/pubmed/26391121
http://dx.doi.org/10.1186/s12859-015-0743-5
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author Daniel, Edward
Onwukwe, Goodluck U.
Wierenga, Rik K.
Quaggin, Susan E.
Vainio, Seppo J.
Krause, Mirja
author_facet Daniel, Edward
Onwukwe, Goodluck U.
Wierenga, Rik K.
Quaggin, Susan E.
Vainio, Seppo J.
Krause, Mirja
author_sort Daniel, Edward
collection PubMed
description BACKGROUND: Codon 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. RESULTS: We 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. CONCLUSIONS: This 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
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spelling pubmed-45787822015-09-23 ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization Daniel, Edward Onwukwe, Goodluck U. Wierenga, Rik K. Quaggin, Susan E. Vainio, Seppo J. Krause, Mirja BMC Bioinformatics Software BACKGROUND: Codon 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. RESULTS: We 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. CONCLUSIONS: This 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 BioMed Central 2015-09-21 /pmc/articles/PMC4578782/ /pubmed/26391121 http://dx.doi.org/10.1186/s12859-015-0743-5 Text en © Daniel et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Daniel, Edward
Onwukwe, Goodluck U.
Wierenga, Rik K.
Quaggin, Susan E.
Vainio, Seppo J.
Krause, Mirja
ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization
title ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization
title_full ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization
title_fullStr ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization
title_full_unstemmed ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization
title_short ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization
title_sort atgme: open-source web application for rare codon identification and custom dna sequence optimization
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4578782/
https://www.ncbi.nlm.nih.gov/pubmed/26391121
http://dx.doi.org/10.1186/s12859-015-0743-5
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