Application of displacement chromatography for the analysis of a lipid raft proteome |
| |
Authors: | Maria Trusch Alexandra Böhlick Diana Hildebrand Björn Lichtner Andreas Bertsch Oliver Kohlbacher Sebastian Bachmann Hartmut Schlüter |
| |
Institution: | 1. Department of Clinical Chemistry, University Medical Center Hamburg-Eppendorf, Campus Forschung, Martinistr. 52, D-20246 Hamburg, Germany;2. Institute of Vegetative Anatomy, Charité, Charitéplatz 1, D-10117 Berlin, Germany;3. Wilhelm Schickard Institute for Computer Science, Eberhard Karls University Tübingen, Sand 14, D-72076 Tübingen, Germany |
| |
Abstract: | Defining membrane proteomes is fundamental to understand the role of membrane proteins in biological processes and to find new targets for drug development. Usually multidimensional chromatography using step or gradient elution is applied for the separation of tryptic peptides of membrane proteins prior to their mass spectrometric analysis. Displacement chromatography (DC) offers several advantages that are helpful for proteome analysis. However, DC has so far been applied for proteomic investigations only in few cases. In this study we therefore applied DC in a multidimensional LC–MS approach for the separation and identification of membrane proteins located in cholesterol-enriched membrane microdomains (lipid rafts) obtained from rat kidney by density gradient centrifugation. The tryptic peptides were separated on a cation-exchange column in the displacement mode with spermine used as displacer. Fractions obtained from DC were analyzed using an HPLC-chip system coupled to an electrospray-ionization ion-trap mass spectrometer. This procedure yielded more than 400 highly significant peptide spectrum matches and led to the identification of more than 140 reliable protein hits within an established rat kidney lipid raft proteome. The majority of identified proteins were membrane proteins. In sum, our results demonstrate that DC is a suitable alternative to gradient elution separations for the identification of proteins via a multidimensional LC–MS approach. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|