Comparative 2-DE protein analysis in a 3-D geometry gel. (March 2007)

• Record Type: Journal Article
• Authors: Ventzki, Robert; Rüggeberg, Sabrina; Leicht, Stefan; Franz, Thomas; Stegemann, Josef
• Is Part Of: Biotechniques. Volume 42:Number 3(2007)
• Page Start: 271
• Page End: 279
• Publication Date: 2007-03
• Subjects: Biology, Experimental -- Periodicals; Molecular biology -- Periodicals; Medical technology -- Periodicals; Biology, Experimental; Medical technology; Molecular biology; Clinical Laboratory Techniques -- Periodicals; Research -- Periodicals; Medical Laboratory Science -- Periodicals; Periodicals; Electronic journals; 570
• DOI: 10.2144/000112421
• Languages: English
• ISSNs: 0736-6205

Abstract

Two-dimensional gel electrophoresis (2-DE) separation has not been considered suitable for large-scale comparative protein expression studies due to its limited throughput. We present a high-throughput analysis method based on three-dimensional (3-D) geometry gel electrophoresis. Following conventional isoelectric focusing (IEF), up to 36 immobilized pH gradient (IPG) strips are arrayed on the top surface of a 3-D gel body, and the samples transferred electrokinetically to the gel. A specific thermal management ensures that sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) occurs under identical electrophoretic and thermal conditions, avoiding gel-to-gel variations and thereby providing immediate comparability of the separation patterns. Proteins are Cy™3-labeled for online detection of laser-induced fluorescence (LIF). Images are acquired by a digital camera and recorded as a 3-D image stack during electrophoresis. Image processing software decomposes the 3-D image stack into vertical sections representing conventional 2-DE slab gels, making results immediately accessible without further gel processing. The large number of simultaneously analyzed samples ( n = 36) allows treating the sample index as a quasi-continuous experimental parameter (e.g., concentration, time, dose). The method offers a wide range of applications in molecular discovery, clinical diagnosis, pharmacology, and toxicology, like protein monitoring during disease development and screening of drug candidates for their effect on protein expression.