Explorative data analysis of two-dimensional electrophoresis gels

J. Schultz, D.M. Gottlieb, Marianne Kjerstine Petersen, Ljiljana Nesic, Susanne Jacobsen, Ib Søndergaard

    Research output: Contribution to journalJournal articleResearchpeer-review


    Methods for classification of two-dimensional (2-DE) electrophoresis gels based on multivariate data analysis are demonstrated. Two-dimensional gels of ten wheat varieties are analyzed and it is demonstrated how to classify the wheat varieties in two qualities and a method for initial screening of gels is presented. First, an approach is demonstrated in which no prior knowledge of the separated proteins is used. Alignment of the gels followed by a simple transformation of data makes it possible to analyze the gels in an automated explorative manner by principal component analysis, to determine if the gels should be further analyzed. A more detailed approach is done by analyzing spot volume lists by principal components analysis and partial least square regression. The use of spot volume data offers a mean to investigate the spot pattern and link the classified protein patterns to distinct spots on the gels for further investigation. The explorative approach in analysis of 2-D gels makes it possible, in a fast and convenient way, to screen many gels in order to determine the protein patterns that form clusters and could be selected for further examination.
    Original languageEnglish
    Pages (from-to)502-511
    Publication statusPublished - 2004

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