Data analysis methods for detection of differential protein expression in two-dimensional gel electrophoresis

被引：59

作者：

Meunier, B ^{[1
]}

Bouley, J ^{[1
]}

Piec, I ^{[1
]}

Bernard, C ^{[1
]}

Picard, B ^{[1
]}

Hocquette, JF ^{[1
]}

机构：

[1] INRA, Clermont Ferrand Res Ctr, Herbivore Res Unit, Muscle Growth & Metab Grp, F-63122 St Genes Champanelle, France

来源：

ANALYTICAL BIOCHEMISTRY | 2005年 / 340卷 / 02期

关键词：

data analysis; differential expression; significance analysis of microarrays; two-dimensional gel electrophoresis;

D O I：

10.1016/j.ab.2005.02.028

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The recent development of microarray technology has led statisticians and bioinformaticians to develop new statistical methodologies for comparing different biological samples. The objective is to identify a small number of differentially expressed genes from among thousands. In quantitative proteomics, analysis of protein expression using two-dimensional gel electrophoresis shows some similarities with transcriptomic studies. Thus, the goal of this study was to evaluate different data analysis methodologies widely used in array analysis using different proteomic data sets of hundreds of proteins. Even with few replications, the significance analysis of microarrays method appeared to be more powerful than the student's t test in truly declaring differentially expressed proteins. This procedure will avoid wasting time due to false positives and losing information with false negatives. (c) 2005 Elsevier Inc. All rights reserved.

引用

页码：226 / 230

页数：5

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