The effects of differential gene expression on coding sequence features: analysis by one-way ANOVA.

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.

authors

Wu G,Nie L,Freeland SJ

doi

10.1016/j.bbrc.2007.05.043

subject

Has Abstract

pub_date

2007-07-13 00:00:00

pages

1108-13

issue

4

eissn

0006-291X

issn

1090-2104

pii

S0006-291X(07)01014-5

journal_volume

358

pub_type

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