4.7 Article

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

期刊

JOURNAL OF PROTEOME RESEARCH
卷 3, 期 6, 页码 1210-1218

出版社

AMER CHEMICAL SOC
DOI: 10.1021/pr049886m

关键词

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

资金

  1. NCI NIH HHS [CA P30 54174] Funding Source: Medline
  2. NEI NIH HHS [R01 EY 11733] Funding Source: Medline
  3. NIA NIH HHS [R01 AG 23843, P01 AG 20591, 1P30 AG 13319] Funding Source: Medline

向作者/读者索取更多资源

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.

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