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  • Title: The effects of differential gene expression on coding sequence features: analysis by one-way ANOVA.
    Author: Wu G, Nie L, Freeland SJ.
    Journal: Biochem Biophys Res Commun; 2007 Jul 13; 358(4):1108-13. PubMed ID: 17517370.
    Abstract:
    It is well-established that non-random patterns in coding DNA sequence (CDS) features can be partially explained by translational selection. Recent extensions of microarray and proteomic expression data have stimulated many genome-wide investigations of the relationships between gene expression and various CDS features. However, only modest correlations have been found. Here we introduced the one-way ANOVA, a more powerful extension of previous grouping methods, to re-examine these relationships at the whole genome scale for Saccharomyces cerevisiae, where genome-wide protein abundance has been recently quantified. Our results clarify that coding sequence features are inappropriate for use as genome-wide estimators for protein expression levels. This analysis also demonstrates that one-way ANOVA is a powerful and simple method to explore the influence of gene expression on CDS features.
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