Yeast Genetics and Molecular Biology 2002
University of Wisconsin
Madison, Wisconsin USA
July 30 - August 4, 2002


Name: Kohlwein, Sepp D.
Mailing Address: IMBM-Biochemistry, University of Graz, Schubertstr. 1, Graz, A8010, Austria
Email Address: sepp.kohlwein@uni-graz.at
Phone & FAX numbers: 01143 316 380-5487 & 011433163809857
URL: http://www-ang.kfunigraz.ac.at/~kohlwein/home.htm

Abstract #35


Session Title: Proteomics
Session Time: Thursday, August 1 -- 4:30PM - 6:00PM
Presentation: Platform
Topic: Global Analysis

The spatial organization of lipid synthesis in yeast: Large-scale GFP-tagging and high-resolution microscopy.
Klaus Natter (1), Iskandar Dib (1), Alexander Faschinger (1), Anita Jandrositz (1), Steven McCraith (2), Stanley Fields (2), Sepp D. Kohlwein (1)
(1) IMBM-Biochemistry, University of Graz, Schubertstr. 1, Graz, A8010, Austria; (2) Howard Hughes Medical Institute, University of Washington, Seattle

Yeast is an attractive model organism for molecular biological research, but represents a particular challenge to microscopists due to its small overall dimensions of 5-8 µm. However, knowledge about the localization of proteins in a cell provides important information as to their function. We make use of a genome-wide approach for protein localization studies in yeast, based on GFP-tagging by recombination cloning, and high resolution confocal microscopy. A central focus of our studies is the identification of the spatial organization of proteins involved in lipid metabolism. GFP-tagged proteins associated with lipid droplets and presumably involved in fatty acid and neutral lipid metabolism are characterized as to their subcellular distribution and dynamics upon conditions of lipid mobilization. From the microscopic large-scale analysis of GFP-tagged proteins in vivo, novel factors of unknown function are selected based on their localization to lipid droplets, and are further characterized with respect to their predicted participation in lipid metabolism. Microscopic images, together with experimental setup and documentation, are stored in a web accessible Oracle-based Yeast Protein Localization Database, YPL.db.


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