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YPL.db2: the Yeast Protein Localization database, version 2.0.

Mathias Kals1, Klaus Natter, Gerhard G Thallinger

  • 1SFB Biomembrane Research Center, Institute of Molecular Biosciences, University of Graz, Schubertstrasse 1, A8010 Graz, Austria. sepp.kohlwein@uni-graz.at

Yeast (Chichester, England)
|February 11, 2005
PubMed
Summary
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The Yeast Protein Localization database (YPL.db(2)) archives 500 high-resolution images of Saccharomyces cerevisiae protein patterns. This updated database features enhanced image analysis tools and a user-friendly web interface for data submission.

Area of Science:

  • Cell Biology
  • Molecular Biology
  • Bioinformatics

Background:

  • Understanding protein localization is crucial for deciphering cellular functions in Saccharomyces cerevisiae.
  • Previous versions of the Yeast Protein Localization database provided valuable, but limited, data access and submission capabilities.

Purpose of the Study:

  • To present an updated version of the Yeast Protein Localization database (YPL.db(2)) with enhanced features for protein localization data.
  • To improve data submission and accessibility for researchers studying yeast protein localization patterns.

Main Methods:

  • Curated a dataset of 500 high-resolution microscopic image sets of green fluorescent protein (GFP)-tagged proteins in Saccharomyces cerevisiae.
  • Developed a web-based interface for standardized remote data and image submission.

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  • Implemented advanced image display features including superposition, fading, and 3D visualization using VRML.

    • Main Results:

    • YPL.db(2) now contains 500 curated image datasets of yeast protein localization.
    • Introduced a user-friendly web interface for data submission, improving accessibility for remote users.
    • Enhanced image analysis capabilities, including superimposed fluorescence and transmission images and 3D data manipulation.

    Conclusions:

    • YPL.db(2) version 2.0 offers significant functional improvements for researchers studying yeast protein localization.
    • The enhanced database facilitates standardized data entry and advanced image analysis, promoting further research in yeast cell biology.