Processing of data generated by 2-dimensional gel electrophoresis for statistical analysis: Missing data, normalization, and statistics

被引：42

作者：

Chang, JS

Van Remmen, H

Ward, WF

Regnier, FE

Richardson, A

Cornell, J ^{[1
]}

机构：

[1] Univ Texas, Hlth Sci Ctr, Dept Cellular & Struct Biol, San Antonio, TX 78284 USA

[2] Univ Texas, Hlth Sci Ctr, Dept Physiol, San Antonio, TX 78284 USA

[3] Univ Texas, Hlth Sci Ctr, Dept Med, San Antonio, TX 78284 USA

[4] Univ Texas, Hlth Sci Ctr, Barshop Ctr Longev Studies, San Antonio, TX 78284 USA

[5] S Texas Vet Hlth Care Syst, San Antonio, TX 78284 USA

[6] Purdue Univ, Dept Chem, W Lafayette, IN 47907 USA

来源：

JOURNAL OF PROTEOME RESEARCH | 2004年 / 3卷 / 06期

关键词：

2-D PAGE; missing data; normalization; mitochondria; permutation test; false discovery rates;

D O I：

10.1021/pr049886m

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Several high-throughput statistical methods were evaluated for processing data generated by two-dimensional polyacrylamide gel electrophoresis, including how to handle missing data, normalization, and statistical analysis of data obtained from 2-D gels. Quantile normalization combined with a nonparametric permutation test based on minimizing false discover rates gave the highest yield of proteins that changed with genotype and detected the anticipated 50% decrease in Mn-superoxide dismutase (MnSOD) protein levels in mitochondrial extracts obtained from MnSOD-deficient mice.

引用

页码：1210 / 1218

页数：9

共 31 条

[1] A comparison of selected mRNA and protein abundances in human liver [J].