Abstract

Doc number: 215

Abstract

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.

Details

Title
Gel2DE - A software tool for correlation analysis of 2D gel electrophoresis data
Author
Øye, Ola Kristoffer; Jørgensen, Katarina M; Hjelle, Sigrun M; Sulen, André; Ulvang, Dag Magne; Gjertsen, Bjørn Tore
Pages
215
Publication year
2013
Publication date
2013
Publisher
BioMed Central
e-ISSN
14712105
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1400506615
Copyright
© 2013 Øye et al.; licensee BioMed Central Ltd. 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.