Computer analysis of two-dimensional gels.
This work identifies statistical algorithms which need to be included in analysis of two-dimensional gels for accurate determination of differential changes. Two-dimensional electrophoresis is a powerful tool for determining differential protein expression in complex mixtures, but the methodology, to date, is not producing expected results due to the degree of gel variability. The new DIGE procedure, comparing two samples in the same gel, does eliminate some of the variability introduced with gel-to-gel comparison, but still has variability due to differences in dye binding, charge, and fluorescence. Introducing quality-assurance statistical algorithms is necessary to extract meaningful data from the gels. A quality-control analysis of replicate gels needs to be performed prior to using the set in the final analysis. Increasing replicates to five from the usual three can only add greater variability. A statistical "replicate quality" gel test needs to be done on the computer gel scans, and replicates with greater than 20-30% variability should not be used. In addition, since spot intensity data are not normally distributed, spot differential analysis cannot be a t-test. The Studentized Range has been suggested as a more accurate method for calculating significant difference.
Goldfarb
Marcia
M
Anatek-EP, PO Box 3677, Portland, ME 04104, USA. anatekep@maine.rr.com
D000818:Animals; D019295:Computational Biology / Q000379:methods*; D015180:Electrophoresis, Gel, Two-Dimensional; D006801:Humans; D008954:Models, Biological; D012984:Software