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Gel2DE - A software tool for correlation analysis of 2D gel electrophoresis data
BACKGROUND: Two-dimensional gel electrophoresis (2DE) is a powerful technique for studying protein isoforms and their modifications. Existing commercial 2D image analysis tools rely on spot detection that limits analysis of complex protein profiles, e.g. spot appearance/disappearance or overlapping...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3710208/ https://www.ncbi.nlm.nih.gov/pubmed/23829206 http://dx.doi.org/10.1186/1471-2105-14-215 |
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author | Øye, Ola Kristoffer Jørgensen, Katarina M Hjelle, Sigrun M Sulen, André Ulvang, Dag Magne Gjertsen, Bjørn Tore |
author_facet | Øye, Ola Kristoffer Jørgensen, Katarina M Hjelle, Sigrun M Sulen, André Ulvang, Dag Magne Gjertsen, Bjørn Tore |
author_sort | Øye, Ola Kristoffer |
collection | PubMed |
description | BACKGROUND: Two-dimensional gel electrophoresis (2DE) is a powerful technique for studying protein isoforms and their modifications. Existing commercial 2D image analysis tools rely on spot detection that limits analysis of complex protein profiles, e.g. spot appearance/disappearance or overlapping spots. Pixel-by-pixel correlation analysis, an analysis technique for identifying relations between protein patterns in gel images and external variables, can overcome such limitations in spot analysis. RESULTS: We have implemented the first publically available pixel-by-pixel correlation analysis tool, the software Gel2DE. 2D immunoblot time course analysis of p53 protein stabilization in response to ionizing irradiation shows that pixel-by-pixel analysis can yield an overall activation biosignature for p53, despite changing spots shape, size and position. CONCLUSIONS: Pixel-by-pixel correlation of aligned 2D images permits analysis of complex protein patterns. We anticipate that the Gel2DE correlation software will be a useful tool for future bioinformatics discoveries through 2D gel electrophoresis. |
format | Online Article Text |
id | pubmed-3710208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-37102082013-07-13 Gel2DE - A software tool for correlation analysis of 2D gel electrophoresis data Øye, Ola Kristoffer Jørgensen, Katarina M Hjelle, Sigrun M Sulen, André Ulvang, Dag Magne Gjertsen, Bjørn Tore BMC Bioinformatics Software BACKGROUND: Two-dimensional gel electrophoresis (2DE) is a powerful technique for studying protein isoforms and their modifications. Existing commercial 2D image analysis tools rely on spot detection that limits analysis of complex protein profiles, e.g. spot appearance/disappearance or overlapping spots. Pixel-by-pixel correlation analysis, an analysis technique for identifying relations between protein patterns in gel images and external variables, can overcome such limitations in spot analysis. RESULTS: We have implemented the first publically available pixel-by-pixel correlation analysis tool, the software Gel2DE. 2D immunoblot time course analysis of p53 protein stabilization in response to ionizing irradiation shows that pixel-by-pixel analysis can yield an overall activation biosignature for p53, despite changing spots shape, size and position. CONCLUSIONS: Pixel-by-pixel correlation of aligned 2D images permits analysis of complex protein patterns. We anticipate that the Gel2DE correlation software will be a useful tool for future bioinformatics discoveries through 2D gel electrophoresis. BioMed Central 2013-07-06 /pmc/articles/PMC3710208/ /pubmed/23829206 http://dx.doi.org/10.1186/1471-2105-14-215 Text en Copyright © 2013 Øye et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Øye, Ola Kristoffer Jørgensen, Katarina M Hjelle, Sigrun M Sulen, André Ulvang, Dag Magne Gjertsen, Bjørn Tore Gel2DE - A software tool for correlation analysis of 2D gel electrophoresis data |
title | Gel2DE - A software tool for correlation analysis of 2D gel electrophoresis data |
title_full | Gel2DE - A software tool for correlation analysis of 2D gel electrophoresis data |
title_fullStr | Gel2DE - A software tool for correlation analysis of 2D gel electrophoresis data |
title_full_unstemmed | Gel2DE - A software tool for correlation analysis of 2D gel electrophoresis data |
title_short | Gel2DE - A software tool for correlation analysis of 2D gel electrophoresis data |
title_sort | gel2de - a software tool for correlation analysis of 2d gel electrophoresis data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3710208/ https://www.ncbi.nlm.nih.gov/pubmed/23829206 http://dx.doi.org/10.1186/1471-2105-14-215 |
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