News & Highlights: A recent collabaration between YRC researcher John Yates and Martin W. Hetzer applied proteomics to examine protein turnover in cells of the rat central nervous system. They found that extremely long-lived proteins associated with chromatin and the nuclear pore complex did not turn over, potentially exposing these proteins to harmful metabolites and accumulation of damage over time. Read more about their findings in the journal Science to learn more. [Read Article]
News & Highlights: YRC Researchers Michael MacCoss and William Stafford Noble have published a new algorithm, dubbed Barista, for identifying proteins in complex biological mixtures. Instead of subdividing the task into separate peptide and protein identification tasks, Barista applies a machine learning approach to identify proteins from source spectra as a single optimization problem. Read their publications in Mol. Cell Proteomics to learn more. [Read Article]
News & Highlights: YRC researcher Stan Fields has used protein mass spectrometry to identify 870 unique sites of ubiquitin attachment on 438 different proteins in the budding yeast Saccharomyces cerevisiae. The analysis was based on the increase in molecular mass of a tryptic peptide carrying two additional glycine residues from the ubiquitin moiety. Read his paper in Proteomics to learn more. [Read Article]
News & Highlights: Hutchinson-Gilford progeria syndrome (HGPS) is a rare and fatal disease characterized by premature aging. In their recent collaboration, YRC researcher John Yates and collaborator Juan Carlos Izpisua Belmonte found induced pluripotent stem cells from HGPS patients lacked molecular characteristics associated with the disease, which were restored upon differentiation. See their paper in Nature to learn more. [Read Article]
News & Highlights: YRC researcher Stan Fields used the model organism Saccharomyces cerevisiae to probe the effects of nutritionally acquired metabolites on statins, a cholesterol-lowering drug widely prescribed to prevent heart disease. He found that copper and zinc ions impair the effect of statins by upregulating genes related to sterol production. Please read his paper in Molecular BioSystems to learn more. [Read Article]
News & Highlights: YRC researchers David Baker and Stan Fields have developed new technology for examining how a protein's sequence affects its function. This new technology is large-scale and may be applied to many in vitro or in vivo protein assays, providing a general means for studying the functional consequences of protein variation. Please read their paper in Nature Methods to learn more. [Read Article]
News & Highlights: The YRC collaborated with Sue Biggins at the Fred Hutchinson Cancer Research Center in Seattle to examine centromeres, whose proper function is critical to prevent conditions associated with cancer and some birth defects. This work, performed in yeast, was recently published in Molecular Cell, where Dr. Biggins proposes a new pathway for the regulation of centromeric function. [Read Article]
News & Highlights: Multidimensional protein identification technology (MudPIT) developed by the YRC was used in a recent collaboration with David Drubin at the University of California, Berkeley, to examine the assembly of actin networks in yeast. In his recent paper in Current Biology, Dr. Drubin describes the nucleation and assembly of these large protein complexes, and how MudPIT was used to characterize their composition. [Read Article]

Overview

The Yeast Resource Center (YRC) is a NCRR and NIGMS Biomedical Technology Research Center based at the University of Washington in Seattle, Washington. The YRC's mission is to (1) exploit the budding yeast Saccharomyces cerevisiae to develop novel technologies for investigating and characterizing protein function and protein structure (2) facilitate research and extension of new technologies through collaboration, and (3) actively disseminate data and technology to the research community.
Through collaboration, the YRC freely provides resources and expertise in six core technology areas:
  1. Protein Tandem Mass Spectrometry
    Tandem mass spectrometry is a powerful technique for characterizing a proteome. The YRC is using mass spectrometry to study the structure and composition of protein complexes, sites and mechanisms of post-translational modifications, protein regulation, and protein quantification. (Led by John Yates and Michael MacCoss)
  2. Protein Sequence-Function Relationships
    Understanding the functional properties of proteins is of paramount importance. The YRC has developed a method that uses protein display technology in conjunction with high-throughput sequencing to enable high-resolution mapping of protein sequence-function relationships and the analysis of protein function on a massive scale. (Led by Stan Fields)
  3. Quantitative Phenotyping
    The YRC develops sequencing and competitive growth technologies to study the functional consequences of protein variation in yeast and humans. (Led by Maitreya Dunham)
  4. Protein Structure Prediction and Design
    The YRC applies data describing intra and intermolecular interactions with the Rosetta computer program to better predict and design macromolecular structures and interactions. (Led by David Baker)
  5. Fluorescence Microscopy
    The YRC develops technologies based on live-cell microscopy and FRET to map the relative position of proteins within large multi-protein complexes in living cells. (Led by Trisha Davis and Eric Muller)
  6. Computational Biology
    The YRC develops and applies computational techniques to model and understand protein structure and function. This research emphasizes statistical and machine learning techniques, such as hidden Markov models and support vector machines. (Led by William Noble)
A current list of YRC publications may be found here. The volume and breadth of publications illustrate the impact of the YRC on technology development and collaborative research in a broad range of research areas.