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          Institute: MPI für molekulare Genetik     Collection: Department of Vertebrate Genomics     Display Documents



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ID: 457376.0, MPI für molekulare Genetik / Department of Vertebrate Genomics
PROTEOMER: A workflow-optimized laboratory information management system for 2-D electrophoresis-centered proteomics.
Authors:Nebrich, Grit; Herrmann, Marion; Hartl, Daniela; Diedrich, Madeleine; Kreitler, Thomas; Wierling, Christoph; Klose, Joachim; Giavalisco, Patrick; Zabel, Claus; Mao, Lei
Language:English
Date of Publication (YYYY-MM-DD):2009-03-03
Title of Journal:Proteomics
Journal Abbrev.:PROTEOMICS
Volume:9
Issue / Number:7
Start Page:1795
End Page:1808
Copyright:2009 WILEY-VCH Verlag
Review Status:not specified
Audience:Experts Only
Abstract / Description:In recent years proteomics became increasingly important to functional genomics. Although a large amount of data is generated by high throughput large-scale techniques, a connection of these mostly heterogeneous data from different analytical platforms and of different experiments is limited. Data mining procedures and algorithms are often insufficient to extract meaningful results from large datasets and therefore limit the exploitation of the generated biological information. In our proteomic core facility, which almost exclusively focuses on 2-DE/MS-based proteomics, we developed a proteomic database custom tailored to our needs aiming at connecting MS protein identification information to 2-DE derived protein expression profiles. The tools developed should not only enable an automatic evaluation of single experiments, but also link multiple 2-DE experiments with MS-data on different levels and thereby helping to create a comprehensive network of our proteomics data. Therefore the key feature of our PROTEOMER database is its high cross-referencing capacity, enabling integration of a wide range of experimental data. To illustrate the workflow and utility of the system, two practical examples are provided to demonstrate that proper data cross-referencing can transform information into biological knowledge.
Free Keywords:Database;
2-D electrophoresis;
Laboratory information management system;
Mass spectrometry
Comment of the Author/Creator:email: Claus Zabel (claus.zabel@charite.de)
Charité - University Medicine Berlin, Augustenburger Platz 1, 13353 Berlin, Germany Fax: +49-30-566904
External Publication Status:published
Document Type:Article
Version Comment:Automatic journal name synchronization
Communicated by:Hans Lehrach
Affiliations:MPI für molekulare Genetik
MPI für molekulare Pflanzenphysiologie
External Affiliations:1.Institute for Human Genetics, Charité - University Medicine Berlin, Berlin, Germany.
Identifiers:URL:http://www3.interscience.wiley.com/cgi-bin/fulltex...
DOI:10.1002/pmic.200800522
ISSN:1615-9853
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