Minimizing variability in two-dimensional electrophoresis gel image analysis |
| |
Authors: | Damodaran Senthilkumar Rabin Richard A |
| |
Affiliation: | Department of Pharmacology and Toxicology, School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, 14214-3000, USA. sd33@buffalo.edu |
| |
Abstract: | For reliable protein identification and quantitation, it is important to minimize the variability associated with two-dimensional electrophoresis (2-DE) analysis. Since experimental factors contribute largely to the variability observed in 2-DE, most studies have focused on reducing this variability with modest concern to the variability associated with post-experimental analyses. Although often ignored, software analyses of 2-DE gel images present a considerable source of variability in the analysis of proteins. In particular, cropping of gel images prior to quantitative 2-DE analysis has been shown to contribute a significant amount of variability in image analysis. To address this problem, we propose a simple, reliable, and objective method of cropping 2-DE gel images to consequently minimize the variability in 2-DE analysis. |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|