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Comparative 2-DE protein analysis in a 3-D geometry gel
Author(s) -
Robert Ventzki,
Sabrina Rüggeberg,
Stefan Leicht,
Thomas Franz,
Josef Stegemann
Publication year - 2007
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/000112421
Subject(s) - gel electrophoresis , isoelectric focusing , chromatography , electrophoresis , two dimensional gel electrophoresis , polyacrylamide gel electrophoresis , chemistry , sodium dodecyl sulfate , proteomics , biochemistry , gene , enzyme
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 Cy3-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.

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