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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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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 |
format | Online Article Text |
id | pubmed-4578782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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