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Observations on the reproducibility and matching efficiency of two‐dimensional electrophoresis gels: Consequences for comprehensive data analysis
Author(s) -
Voss Tilman,
Haberl Peter
Publication year - 2000
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/1522-2683(20001001)21:16<3345::aid-elps3345>3.0.co;2-z
Subject(s) - computer science , matching (statistics) , spots , pattern matching , pattern recognition (psychology) , reproducibility , biological system , profiling (computer programming) , set (abstract data type) , data mining , data set , statistical analysis , artificial intelligence , chromatography , chemistry , mathematics , statistics , biology , programming language , operating system
Protein expression profiling by proteomics has the potential to be an ideal tool for the description of changes in complex biological systems or in the characterization of a disease. This study analyzes in more quantitative terms how methodological drawbacks of the current technology can hamper the comprehensive analysis of large sets of spot patterns by statistical means. Irreproducibilities in spot intensities due to silver staining and geometric distortions of the spot patterns inherent to the electrophoresis procedure push even the semiautomatic alignment and matching to their limits. This leads to reduced matching efficiencies for identical spots if no additional exhaustive manual matching is performed for every single spot in all gels. As a consequence, only a limited number of spots can be matched in all gels of a large set. The statistical pattern analysis of such data sets will thus not allow the comprehensive description of relevant pattern changes.