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


Name: Link, Andrew J.
Mailing Address: Microbiology and Immunology, Vanderbilt Univ. Med. School, 1161 21st ave S, Nashville, TN 37232-2363, USA
Email Address: andrew.link@mcmail.vanderbilt.edu
Phone & FAX numbers: 615-343-6823 & 615-343-7392
URL: http://linklab.mc.vanderbilt.edu

Abstract #37


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

Systematic analysis of yeast protein complexes using multidimensional mass spectrometry.
Jennifer L. Jennings (1), Adrian Canutescu (1), Steven L. Sanders (2), Melanie D. Ohi (3), Kathleen L. Gould (3), P. Anthony Weil (2), Andrew J. Link (1)
(1) Microbiology and Immunology, Vanderbilt Univ. Med. School, 1161 21st ave S, Nashville, TN 37232-2363, USA; (2) Department of Molecular Physiology & Biophysics; (3) Department of Cell Biology

One of the most important challenges facing investigators today is to define the native context in which a given protein functions. It has become increasingly clear that most proteins work within large multiprotein complexes. Our goal is to define the native context in which a given protein functions. Multidimensional chromatography coupled with tandem mass spectrometry protein identification offers the potential to rapidly define large multiprotein complexes in an automated fashion. One such recently developed approach is termed DALPC for Direct Analysis of Large Protein Complexes. Instead of mass spectrometric identification of gel-separated proteins, as with conventional mass spectrometry protein identification, complex protein mixtures are proteolyzed directly. The resulting peptides are then fractionated by ion exchange chromatography before reversed-phase HPLC-electrospray ionization-tandem mass spectrometric identification. In an unbiased fashion DALPC can identify hundreds to thousands of individual proteins from complex mixtures in a single analysis without the need for SDS-PAGE and individual band excision. Statistical and bioinformatics methods are applied to define the protein interactions and identify posttranslational modifications. Various approaches to isolate yeast protein complexes followed by a multidimensional mass spectrometry analysis will be presented. From our proteomics analysis is emerging a complex network of protein interactions.


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